As businesses discover new use cases and develop the infrastructure to support more IoT applications, the entire Internet of Things continues to evolve. Let’s look at some of the current trends in that evolution.

Table Of Contents

• Top 5 IoT Trends
  1. IoT Cybersecurity Concerns Grow
  2. IoT Advancements In Health Care
  3. 5G Enables More IoT Opportunities
  4. Demand For Specialized IoT Data Management
  5. Bundled IoT For The Enterprise Buyer
• The Future Of IoT
• Bottom Line: IoT Trends

Top 5 IoT Trends

IoT devices can help companies use their data in many ways, including generating, sharing and collecting data throughout their infrastructure. While some companies are leaping into IoT technology, others are more cautious, observing from the sidelines to learn from the experiences of those pioneering IoT.

When looking through these five key trends, keep in mind how IoT devices affect and interact with company infrastructure to solve problems.

1. IoT Cybersecurity Concerns Grow

As new IoT solutions develop quickly, are users being protected from cyber threats and their connected devices? Gabriel Aguiar Noury, robotics product manager at Canonical, which publishes the Ubuntu operating system, believes that as more people gain access to IoT devices and the attack surface grows, IoT companies themselves will need to take responsibility for cybersecurity efforts upfront.

“The IoT market is in a defining stage,” Noury said. “People have adopted more and more IoT devices and connected them to the internet.” At the same time they’re downloading mobile apps to control them while providing passwords and sensitive data without a clear understanding of where they will be stored and how they will be protected—and, in many cases, without even reading the terms and conditions.

“And even more importantly, they’re using devices without checking if they are getting security updates…,” Noury said. “People are not thinking enough about security risks, so it is up to the IoT companies themselves to take control of the situation.”

Ben Goodman, SVP of global business and corporate development at ForgeRock, an access management and identity cloud provider, thinks it’s important that we start thinking of IoT devices as citizens and hold them accountable for the same security and authorization requirements as humans.

“The evolution of IoT security is an increasingly important area to watch,” Goodman said. “Security can no longer be an afterthought prioritized somewhere after connectivity and analytics in the Internet of Things. Organizations need to start treating the ‘things’ in the Internet of Things as first-class citizens.”

Goodman said such a measure would mean that non-human entities are required to register and authenticate and have access granted and revoked, just like humans, helping to ensure oversight and control.

“Doing this for a thing is a unique challenge, because it can’t enter a username or password, answer timely questions, or think for itself,” he said. “However, it represents an incredible opportunity to build a secure network of non-human entities working together securely.”

For more information on IoT and security: Internet of Things (IoT) Security Trends

2. IoT Advancements In Healthcare

The healthcare industry has benefited directly from IoT advancements. Whether it’s support for at-home patient care, medical transportation, or pharmaceutical access, IoT solutions are assisting healthcare professionals with more direct care in situations where they cannot provide affordable or safe hands-on care.

Leon Godwin, principal cloud evangelist for EMEA at Sungard AS, a digital transformation and recovery company, explained that IoT not only makes healthcare more affordable—it also makes care and treatment more accessible and patient-oriented.

“IoT in healthcare will become more prevalent as healthcare providers look to reduce costs and drive better customer experience and engagement,” Godwin said. “This might include advanced sensors that can use light to measure blood pressure, which could be incorporated in watches, smartphones, or standalone devices or apps that can measure caloric intake from smartphone cameras.”

Godwin said that AI is also being used to analyze patient data, genetic information, and blood samples to create new drugs, and after the first experiment using drones to deliver organ transplants across cities happened successfully, rollout is expected more widely.

Jahangir Mohammed, founder and CEO of Twin Health, a digital twin company, thinks that one of the most significant breakthroughs for healthcare and IoT is the ability to constantly monitor health metrics outside of appointments and traditional medical tests.

“Recent innovations in IoT technology are enabling revolutionary advancements in healthcare,” Mohammed said. “Until now, individual health data has been mostly captured at points in time, such as during occasional physician visits or blood labs. As an industry, we lacked the ability to track continuous health data at the individual level at scale.

“Advancements in IoT are shifting this paradigm. Innovations in sensors now make it possible for valuable health information to be continuously collected from individuals.

Mohammed said advancements in AI and Machine Learning, such as digital twin technology and recurrent neural networks, make it possible to conduct real-time analysis and see cause-and-effect relationships within incredibly complex systems.

Neal Shah, CEO of CareYaya, an elder care tech startup, cited a more specific use case for IoT as it relates to supporting elders living at home—a group that suffered from isolation and lack of support during the pandemic.

“I see a lot of trends emerging in IoT innovation for the elderly to live longer at home and avoid institutionalization into a nursing home or assisted living facility,” Shah said. Through research partnerships with university biomedical engineering programs, CareYaya is field testing IoT sensors and devices that help with everything from fall prevention to medication reminders, biometric monitoring of heart rate and blood pressure—even mental health and depression early warning systems through observing trends in wake-up times.

Shah said such IoT innovations will improve safety and monitoring and make it possible for more of the vulnerable elderly population to remain in their own homes instead of moving into assisted living.

For more information on health care in IoT: The Internet of Things (IoT) in Health Care

3. 5G Enables More IoT Opportunities

5G connectivity will make more widespread IoT access possible. Currently, cellular companies and other enterprises are working to make 5G technology available in more areas to support further IoT development.

Bjorn Andersson, senior director of global IoT marketing at Hitachi Vantara, a top-performing IoT and  IT service management company, explained why the next wave of wider 5G access will make all the difference for new IoT use cases and efficiencies.

“With commercial 5G networks already live worldwide, the next wave of 5G expansion will allow organizations to digitize with more mobility, flexibility, reliability, and security,” Andersson said. “Manufacturing plants today must often hardwire all their machines, as Wi-Fi lacks the necessary reliability, bandwidth, or security.”

But 5G delivers the best of two worlds, he said—the flexibility of wireless with the reliability, performance, and security of wired networks. 5G provides enough bandwidth and low latency to have a more flexible impact than a wired network, enabling a whole new set of use cases.

Andersson said 5G will increase the feasibility of distributing massive numbers of small devices that in the aggregate provide enormous value with each bit of data.

“This capacity to rapidly support new apps is happening so early in the deployment cycle that new technologies and infrastructure deployment can happen almost immediately, rather than after decades of soaking it in,” he said. “With its widespread applicability, it will be feasible to deliver 5G even to rural areas and remote facilities far more quickly than with previous Gs.”

For more: Internet of Things (IoT) Software Trends

4. Demand For Specialized IoT Data Management

With its real-time collection of thousands of data points, the IoT solutions strategy focuses heavily on managing metadata about products and services. But the overwhelming amount of data involved means not all IoT developers and users have begun to fully optimize the data they can now access.

Sam Dillard, senior product manager of IoT and edge at InfluxData, a data platform provider for IoT and in-depth analytics use cases, believes that as connected IoT devices expand globally, tech companies will need to find smarter ways to store, manage and analyze the data produced by the Internet of Things.

“All IoT devices generate time-stamped (or time series) data,” Dillard said. “The explosion of this type of data, fueled by the need for more analytics, has accelerated the demand for specialized IoT platforms.”

By 2025, around 60 billion connected devices are projected to be deployed worldwide—the vast majority of which will be connected to IoT platforms, he said. Organizations will have to figure out ways to store the data and make it all sync together seamlessly as IoT deployments continue to scale at a rapid pace.

5. Bundled IoT For The Enterprise Buyer

While the average enterprise buyer might be interested in investing in IoT technology, the initial learning curve can be challenging as IoT developers work to perfect new use cases for users.

Andrew De La Torre, group VP of technology for Oracle Communications at cloud and data management company Oracle, believes that the next big wave of IoT adoption will be in bundled IoT or off-the-shelf IoT solutions that offer user-friendly operational functions and embedded analytics.

Results of a survey of 800 respondents revealed an evolution of priorities in IoT adoption across industries, De La Torre said—most notably, that enterprises are investing in off-the-shelf IoT solutions with a strong desire for connectivity and analytics capabilities built-in.

Because of specific capabilities, commercial off-the-shelf products can extend IoT into other industries thanks to its availability in public marketplaces. When off-the-shelf IoT aligns with industrial needs, it can replace certain components and systems used for general-use practices.

While off-the-shelf IoT is helpful to many companies, there are still risks as it develops—security risks include solution integration, remote accessibility and widespread deployments and usage. Companies using off-the-shelf products should improve security by ensuring that systems are properly integrated, running security assessments, and implementing policies and procedures for acquisitions.

The Future Of IoT

Customer demand changes constantly. IoT services need to develop at the same pace.

Here’s what experts expect the future of Iot development to look like:

Sustainability and IoT

Companies must embrace IoT and its insights so they can pivot to more sustainable practices, using resources responsibly and organizing processes to reduce waste.

There are multiple ways a company can contribute to sustainability in IoT:

• Smart energy management: Using granular IoT sensor data to allow equipment control can eliminate office HVAC system waste and benefit companies financially and with better sustainability practices.
• Extent use style: Using predictive maintenance with IoT can extend the lifespan of a company’s model of manufacturing. IoT will track what needs to be adjusted instead of creating a new model.
• Reusing company assets: Improved IoT information will help a company determine whether it needs a new product by looking at the condition of the assets and use history.

IoT and AI

The combination of Artificial Intelligence (AI) and IoT can cause industries, businesses and economies to function in different ways than either IoT or AI function on their own. The combination of AI and IoT creates machines that have smart behaviors and supports strong decision-making processes.

While IoT deals with devices interacting through the internet, AI works with Machine Learning (ML) to help devices learn from their data.

AI IoT succeeds in the following implementations:

• Managing, analyzing, and obtaining helpful insights from customer data
• Offering quick and accurate analysis
• Adding personalization with data privacy
• Providing assistance to use security against cyber attacks

More Use of IoT in Industries

Healthcare is cited as one of the top IoT industries, but many others are discovering how IoT can benefit their companies.

Agriculture

IoT can be used by farmers to help make informed decisions using agriculture drones to map, image, and survey their farms along with greenhouse automation, monitoring of climate conditions, and cattle monitoring.

IoT enables agriculture companies to have more control over their internal processes while lowering production risks and costs. This will reduce food waste and improve product distribution.

Energy

IoT in the energy sector can improve business performance and customer satisfaction. There are many IoT benefits for energy industry, especially in the following areas:

• Remote monitoring and managing
• Process optimization
• Workload forecasting
• Grid balancing
• Better decision-making

Finance

Banks and customers have become familiar with managing transactions through many connected devices. Because the amount of data transferred and collected is extensive, financial businesses now have the ability to measure risk accurately using IoT.

Banks will start using sensors and data analytics to collect information about customers and offer personalized services based on their activity patterns. Banks will then better understand how their customers handle their money.

Manufacturing

Manufacturing organizations gather data at most stages of the manufacturing process, from product and process assistance through planning, assembly and maintenance.

The IoT applications in the manufacturing industry include:

• Production monitoring: With IoT services’ ability to monitor data patterns, IoT monitoring provides optimization, waste reduction and less mundane work in process inventory.
• Remote equipment management: Remote work has grown in popularity, and IoT services allow tracking and maintaining of equipment’s performance.
• Maintenance notifications: IoT services help optimize machine availability by receiving maintenance notifications when necessary.
• Supply chains: IoT solutions can help manufacturing companies track vehicles and assets, improving manufacturing and supply chain efficiency.

For more industries using IoT: IoT in Smart Cities

Bottom Line: IoT Trends

IoT technology reflects current trends and reaches many areas including AI, security, healthcare, and other industries to improve their processes.

Acknowledging IoT in a business can help a company improve a company structure, and IoT will benefit a company’s infrastructure and applications.

For IoT devices: 85 Top IoT Devices

For businesses considering a data warehouse solution, a number of competing providers offer a range of features and prices. This article will compare the top seven solutions and explain the features that differentiate them, making it easier to match them to specific needs.

Table Of Contents

• Top Data Warehouse Providers And Solutions
• Data Warehouse Providers And Solutions Comparison Table
• Amazon Redshift: Best For Deployment Optimization
• Google BigQuery: Best For Serverless Data Warehousing
• IBM Db2 Warehouse: Best For Analytic Workloads
• Azure Synapse Analytics: Best For Code-Free Offering
• Oracle Autonomous Data Warehouse: Best For Integration
• SAP Datasphere: Best For Data Warehouse Templates
• Snowflake: Best For Cloud Data Warehouses
• Key Features Of Data Warehouse Providers And Solutions
• How To Choose What Data Warehouse Provider Best For You
• Frequently Asked Questions (FAQ)
• Bottom Line: Data Warehouse Providers And Solutions

Top Data Warehouse Providers and Solutions

The top seven providers all offer feature-rich data warehousing plans at varying prices. A business’s specific needs will determine which is right for them. When selecting a provider, consider the use cases and costs for each as outlined below.

Data Warehouse Providers And Solutions Comparison Table

Amazon Redshift: Best For Deployment Options

With Amazon’s entry into the cloud data warehouse market, Redshift is an ideal solution for those organizations that have already invested in AWS tooling and deployment. Redshift deploys with Software as a Service (SaaS), cloud, and web-based solutions.

Pricing

Amazon Redshift has a pricing page where users can sign up for a trial period, request a quote, or calculate costs based on needs. Pricing starts at $0.25 an hour and can be configured using various models based on usage.

Features

• Spectrum Feature: This feature allows organizations to directly connect with data stores in the AWS S3 cloud data storage service, reducing startup time and cost.
• Strong Performance: The performance benefits companies from AWS infrastructure and large parallel processing data warehouse architecture for distributed queries and data analysis.
• Integration With AWS Glue: AWS Glue makes it easy to write or autogenerate Extract, Transform, and Load (ETL) scripts in addition to testing and running them.

See all Redshift features at https://aws.amazon.com/redshift/features.

Pros

• Parallel processing capabilities
• Contains network isolation security
• Good documentation

Cons

• Expensive
• Poorly designed user interface
• Unable to restrict duplicate records

For more on AWS: AWS Data Portfolio Review

Google BigQuery: Best For Serverless Technology

Google BigQuery is a reasonable choice for users looking to use standard SQL queries to analyze large data sets in the cloud. It is a serverless enterprise data warehouse that uses cloud, scale, Machine Learning (ML)/Artificial Intelligence (AI), and Business Intelligence (BI).

Pricing

Google BigQuery’s pricing page contains specific information about pay-as-you-go plans and longer-term (one to three year) commitments. The provider offers multiple versions of the platform, including Enterprise Edition and Enterprise Plus Edition. The Standard Edition is a pay-as-you-go plan starting at $0.04 per slot hour and the Enterprise Edition has different plans to help a company find its cloud data warehouse.

Features

• Serverless Technology: Using serverless technology, Google handles the functions of a fully managed cloud service, data warehouse setup, and resource provisioning.
• Logical Data Warehousing Capabilities: BigQuery lets users connect with other data sources, including databases and spreadsheets to analyze data.
• Integration With BigQuery ML: With BigQuery ML machine learning, workloads can be trained on data in a data warehouse.

See all BigQuery features at https://cloud.google.com/bigquery.

Pros

• Works with Google Cloud
• Full SQL query support
• Efficient management of data

Cons

• No user support
• Difficult for beginners in data warehouses
• Difficult user interface

For more information on Google: Google Data Portfolio Review

IBM Db2 Warehouse: Best For Analytic Workloads

IBM Db2 Warehouse is a strong option for organizations handling analytics workloads that can benefit from the platform’s integrated in-memory database engine and Apache Spark analytics engine.

Pricing

IBM offers a free trial for IBM Db2 Warehouse and provides a pricing page where users can ask for a quote and estimate the cost. For the flex one plan, the pricing is $1.23 per instance-hour, $0.99 per VPC-hour, and $850 per a service endpoint dedicated connectivity.

For more information, go to IBM’s pricing page.

Features

• Helpful Integration: IBM Db2 Warehouse integrates an in-memory, columnar database engine, which can be a big benefit for organizations looking for a data warehouse that includes a high-performance database.
• Netezza Technology: Db2 Warehouse benefits from IBM’s Netezza technology with advanced data lookup capabilities.
• Cloud Deployment And On-Premises: Deployment can be done in either IBM cloud or in AWS, and there is also an on-premises version of Db2 Warehouse, which can be useful for organizations that have hybrid cloud deployment needs.

See all Db2 Warehouse features at https://www.ibm.com/products/db2/warehouse.

Pros

• Includes in-memory columnar database
• Cloud deployment options
• Configuration flexibility

Cons

• Expensive
• Limited references online
• Limited buffer pool commands

For more on IBM: IBM: Hybrid Cloud Portfolio Review

Azure Synapse Analytics: Best For Code-Free Offerings

Azure Synapse Analytics, previously known as Azure SQL Data Warehouse, is well suited for organizations of any size looking for an easy on-ramp into cloud-based data warehouse technology, thanks to its integration with Microsoft SQL Server.

Pricing

Azure Synapse Analytics’s pricing page allows customers to request a quote or explore pricing options. For tier one, Azure offers 5,000 units for $4,700; tier two offers 10,000 units for $9,200. For other tier options, refer to the pricing page.

Features

• Dynamic Data Masking (DDM): Azure Synapse Analytics provides a granular level of security control, enabling sensitive data to be hidden on the fly as queries are made.
• Azure Integration: Existing Microsoft users will likely find the most benefit from Azure SQL Data Warehouse, with multiple integrations across the Microsoft Azure public cloud and more importantly, SQL Server for a database.
• Parallel Processing: In contrast to simply running SQL Server on-premises, Microsoft has built on a massively parallel processing architecture that can enable users to run over a hundred concurrent queries.

See more Azure Synapse Analytics features at https://learn.microsoft.com/en-us/azure/synapse-analytics/whats-new.

Pros

• Easy integration
• Some code-free offerings
• Strong data distribution

Cons

• Difficult logging metrics
• Limited diagramming tools
• Limited documentation

For more on Microsoft Azure: Microsoft Azure: Cloud Portfolio Review

Oracle Autonomous Data Warehouse: Best For Integration

For existing users of the Oracle database, the Oracle Autonomous Data Warehouse might be the easiest choice, offering a connected onramp into the cloud including the benefits of data marts, data warehouses, data lakes, and data lakehouses.

Pricing

Oracle’s Autonomous Data Warehouse’s main page offers pricing information as well as a cost estimator for users. The bottom price for Oracle Autonomous Data Warehouse shared and dedicated infrastructures is $0.25 per unit.

Features

• Works With Cloud And Hardware: A key differentiator for Oracle is that it runs the Autonomous Data Warehouse in an optimized cloud service with Oracle’s Exadata hardware systems, which has been purpose-built for the Oracle database.
• Easy Collaboration: The service integrates a web-based notebook and reporting services to share data analysis and enable easy collaboration.
• Strong Integration: While Oracle’s namesake database is supported, users can also migrate data from other databases and clouds, including Amazon Redshift, as well as on-premises object data stores.

See more features at https://www.oracle.com/autonomous-database/autonomous-data-warehouse/.

Pros

• Migration support for other database services
• Purpose-built hardware
• Fast query performance

Cons

• No on-premises solutions
• Limited data connection
• Complicated setup

For more on Oracle: Oracle Data Portfolio Review

SAP Datasphere: Best For Templates

Thanks to the pre-built templates it offers, SAP’s Datasphere might be a good fit for organizations looking for more of a turnkey approach to getting the full benefit of a data warehouse. SAP Datasphere allows data professionals to deliver scalable access to business data.

Pricing

SAP Datasphere’s pricing page lists a free tier and range of flexible pricing options based on needs. The price for capacity datasphere units is $1.06 per unit.

Features

• SAP’s HANA (High-performance Analytic Appliance): The cloud services and database are at the core of Data Warehouse Cloud, supplemented by best practices for data governance and integrated with a SQL query engine.
• Pre-Built Business Templates: Templates can help solve common data warehouse and analytics use cases for specific industries and lines of business.
• Integration with SAP Applications: SAP Datasphere integration means easier access to on-premises as well as cloud data sets.

See more features including a product demo at https://www.sap.com/products/technology-platform/datasphere.html.

Pros

• Inventory controls
• Extract data from multiple sources
• Strategic solutions

Cons

• Difficult for beginners
• Difficult integration
• Limited visual analytics

For more on SAP: SAP Data Portfolio Review

Snowflake: Best For Data Warehouse In The Cloud

Snowflake is a great option for organizations in any industry that want a choice of different public cloud providers for data warehouse capabilities. Snowflake aims to bring development to data, help companies govern data for users, and work globally and cross-cloud.

Pricing

Snowflake’s pricing page links to a quote page and offers a 30-day free trial with $400 of free usage.

Features

• Database Engine: Snowflake’s columnar database engine capability can handle both structured and semi-structured data, such as JSON and XML.
• Cloud Provider Of Choice: Snowflake architecture allows for compute and storage to scale separately, with data storage provided on the user’s cloud provider of choice.
• Virtual Data Warehouse: The system creates what Snowflake refers to as a virtual data warehouse, where different workloads share the same data but can run independently.

See more features at https://www.snowflake.com/en/.

Pros

• SQL-based queries for analytics
• Support for JSON and XML
• Integration with AWS, Azure, and GCP

Cons

• Limited data visualization
• Unable to create dynamic SQL
• Difficult documentation

For more information on Snowflake: Snowflake and the Enterprise Data Platform

Key Features of Data Warehouse Providers and Solutions

Cloud data warehouses typically include a database or pointers to a collection of databases where the production data is collected. Many modern cloud data warehouses also include some form of integrated query engine that enables users to search and analyze the data and assist with data mining.

Other key features to look for in a cloud data warehouse setup:

• Integration or API Libraries
• Data Quality and Compliance Tools
• ETL Tools
• Data Access Tools/Database Searchability
• SQL and NoSQL Data Capabilities

For more features and benefits: Top 10 Benefits of Data Warehousing: Is It Right for You?

How To Choose Which Data Warehouse Provider is Best for You

When looking to choose a cloud data warehouse service, there are several criteria to consider.

Existing Cloud Deployments. Each of the major public cloud providers has its data warehouse that provides integration with existing resources, which could make deployment and usage easier for cloud data warehouse users.

Ability to Migrate Data. Consider the different types of data the organization has and where it is stored. The ability to migrate data effectively into a new data warehouse is critically important.

Storage Options. While data warehouse solutions can be used to store data, having the ability to access commodity cloud storage services can provide lower-cost options.

Bottom Line: Data Warehousing Providers and Solutions

When considering providers and solutions of data warehousing, it’s important to weigh features and cost against your company’s primary goals, including deployment and analytic needs and cloud services.

While each provider and solution offers a variety of features, identifying a company’s own use case can help better evaluate them against a company’s needs.

For more information: 15 Best Data Warehouse Software & Tools

Typically, pursuing a digital transformation means prioritizing tools that enhance a company’s operations, profits, growth potential and more. Here are five examples of what a digital transformation could look like for a modern business to use as inspiration for progress at your own organization.

1. Digital Transformation Creates Strategic Advantage for a Healthcare System

Sometimes, a surprising revelation triggers the demand for a digital transformation. That was the case when leaders of a global and academic healthcare system realized how often people used mobile devices to get information about available health-related services. Data showed 40% of website visitors used mobile devices to get information about the system’s offerings.

This healthcare system was already successful, achieving $5.2 billion in revenue and attracting 30,000 employees and more than 4,000 physicians. However, one of the keys to becoming and remaining competitive is recognizing the need for change and responding accordingly. That meant relying on next-generation digital technologies to improve patient engagement and boost brand value.

Although the healthcare system already had a mobile app, customers wanted more than it offered. Early steps in the digital transformation process involved viewing offerings from patient and caregiver perspectives in multiple contexts. Officials used that information to discuss the characteristics of optimal digital experiences and engaged a service provider to develop a new app.

Next, the client narrowed down features for the first release of the mobile app. The service provider mobilized tech specialists to meet those demands, and ultimately these digital transformation plans created a fielded unified experience application for the healthcare client just six months after initial planning.

Within three months, the application had a 64% month-over-month adoption rate across a target pool of 500,000 patients. Plus, the healthcare system expects $10 million in total savings due to associated physician efficiency gains and streamlined procedures in other clinical and back-office operations. Since the app allows co-pay authorizations when patients arrive, the client may see an additional $10 million from increased collections.

2. A Data-Centric Plan Helps a Multinational Food and Beverage Brand Excel

Nestlé has over 150 years of history and thousands of brands under its company umbrella. Executives continually look for practical and proven ways to enhance operations, and that often means being open to using data and adopting technologies.

The company focused on maintaining privacy, connecting with consumers, and pursuing ongoing experimentation during a recent digital transformation, according to Global Chief Marketing Officer Aude Gandon.

One component of that was developing a future-proof first-party strategy emphasizing data safeguarding and privacy, some aspects of which included using consent-mode features within Google Analytics and developing a global advertising technology roadmap.

Ensuring the digital transformation helps Nestlé connect with consumers means reaching 400 million customers with the company’s first-party database by 2025. That information will allow brands under the company’s umbrella to extract valuable insights that improve competitiveness. One Nestlé company used first-party data to achieve a 25% boost in ad spend return by improving connectedness with customers during seasonal events.

Finally, the part of the digital transformation plan focusing on ongoing experimentation heavily relies on cloud computing. In one project related to a coffee brand in Thailand, employees sent large volumes of data from past campaigns to Google Cloud. They then used machine learning algorithms to predict the most appropriate creative messages to show to specific YouTube audiences. This tactic caused a 17% increase in cost-per-view metrics and a 12% lift in ad recall.

These examples show why aligning long-term plans with certain focal points is often useful. Otherwise, it could become too easy to get off track with the digital transformation. That’s especially likely to happen if numerous decision-makers are weighing in with different opinions and not agreeing about the best ways forward.

3. Digital Supply Chain Planning Improves Pandemic Coping

Many digital transformations involve exploring how new technologies help companies reach their goals. For example, some business leaders are examining how Non-Fungible tokens (NFTs) could strengthen their supply chains. Improved supply chain visibility is a priority for many leaders, regardless of industry, and some experts believe NFTs could track parts from various locations, allowing better delay forecasting.

In one case, DuPont utilized digital supply chain planning through scenario modeling that fostered better preparedness. The company’s supply chain experts scrambled to cope with the global market’s unpredictability in early 2020 as the COVID-19 pandemic worsened. They found the systems they’d previously used no longer met needs in the unprecedented circumstances. Leaders decided DuPont needed a customized digital platform.

The resulting creation was a digital tool that allowed people to plan for what-if scenarios that allowed for better business decisions, even in an uncertain environment. The system uses a custom-built algorithm and open-source platform that enable people to run multiple potential scenarios at once within minutes. That saves time and provides trusted results.

Users can also get financial projections, capacity planning, and inventory planning for up to two years into the future. That makes it easier for supply chain executives to make the choices they need to get products to those needing them. This digital platform supports distributing and manufacturing of more than 1,000 products that reach people worldwide. It also allows future scenario testing for nine supply chain categories across 75 locations.

DuPont’s supply chain planners run more than 20 scenarios per month. The company also has over two dozen people trained to use the tool.

4. Electronics Brand Aims for an Omnichannel Approach

The digital environments in today’s business environments are always changing. That’s because improvements and advancements continually happen, pushing leaders to evolve their companies.

In one case, Currys, a market-leading brand in the United Kingdom’s tech retail market, pursued a transformation that would turn it into a digital-first omnichannel retailer. Leaders already knew that 60% of the company’s customers preferred to shop across multiple channels, so the push to suit shoppers’ wants made sense.

Executives had a three-pillar plan for making improvements:

• Ensuring an easy shopping experience
• Providing a connected customer journey
• Creating capable and committed employees

Using a Customer Relationship Management (CRM) platform allowed for meeting all those goals. It showed a 360-degree view of marketing, sales, and service interactions associated with every customer. Company decision-makers also used specialty software to update legacy infrastructure and cloud-based tools to give people the information they needed from any location.

These improvements created digital enhancements that affected online and in-store shopping experiences. They also meant employees could focus on building lasting customer relationships rather than merely serving people during single purchases and never attempting to lengthen the relationship.

Additionally, the digital transformation gave customers more personalized experiences, providing them with relevant prices and other product information to reduce friction. Whether people want to buy a new TV or a kitchen appliance, they’ll appreciate having need-to-know information that guides their interactions.

5. Cloud Computing Helps the University of Bristol Reach More Students

One of the primary goals of a digital transformation is to unlock more opportunities for a respective organization. Such was the case when University of Bristol officials wanted to branch out into remote learning. That would provide educational options for more people than the approximately 28,000 students per year who take in-person classes annually.

University executives chose a cloud technology solution and realized that moving into the realm of online courses would bring multiple benefits. For example, it would open new commercial appeal for the higher education institution while giving learners the freedom and flexibility to attend regardless of their locations or backgrounds.

Leaders also believe this digital transformation will improve its academic research arm. The University of Bristol counts international meteorological bodies, pharmaceutical researchers, and health care organizations as partners. All those parties have different requirements, but partnering with academic institutions allows researchers to take advantage of computing and storage resources that further their projects.

The university’s leaders knew their digital transformation would span multiple years. However, they did the smart thing from the start and worked with technology experts that could advise them every step of the way. These parties assisted in defining a target operating model and teaching the university’s employees the new skills they’d need to succeed with the cloud-based technology.

Much of this tech support happened remotely, although it went smoothly. That emphasizes the provider’s knowledge in helping clients digitally transform without the potential restrictions of geographical boundaries.

Digital Transformations Take Many Forms

These five examples prove there’s no single way to enact a digital transformation within a company. However, businesses are most likely to get the best results when they take the time to determine what would most severely limit future growth and success. Paying attention to those issues could provide decision-makers with the evidence they need that a digital transformation must happen soon. They’ll also better understand which problems to tackle first when making digital improvements.

Here are some important trends about the LC/NC landscape and how people feel about it.

1. People Viewing Low-Code Solutions as Core Technologies

Not so long ago, many tech decision-makers saw LC/NC tools as niche products that grabbed their attention but weren’t necessarily critical for day-to-day business operations. However, that’s starting to change, particularly as many companies had to evolve due to challenges brought by the COVID-19 pandemic.

A 2022 survey from Low-Code platform provider Mendix found 94% of companies across various industries used Low-Code solutions in 2022, up from 77% in 2021. Moreover, 69% of respondents saw such offerings as crisis technologies during the pandemic but now view them as core to their business models.

Additionally, half of the respondents perceive Low-Code products as filling gaps in their IT departments, while 43% see them as able to assist with production engineering needs. Another notable takeaway was that four in 10 respondents now use Low-Code platforms for mission-critical applications. In fact, it’s estimated that 63% of app development activity will be done through Low-Code platforms.

Company leaders also find plenty of ways these platforms can help them. The Mendix survey showed 63% used such tools to address problems with logistics, the supply chain, and transportation. About 32% of retailers said Low-Code tools helped them offer curbside shopping pickups. Additionally, half of public sector respondents mentioned improved planning and management of resources and enhanced service access among the benefits.

However, such efforts sometimes come with issues that are not directly related to Low-Code products. For example, one-third of respondents felt frustrated by their company’s legacy systems. That’s why 39% have required proof that Low-Code offerings will integrate with them. That’s smart information to ask for since Low-Code products are relatively new. Getting the assurance of successful integration with legacy systems avoids surprises.

Indeed, some people have yet to try Low-Code solutions. However, this study shows adoption rates are climbing. When that happens, individuals who previously felt unsure will become more confident about exploring the possibilities.

2. LC/NC Providing an Option Beyond Hiring Developers

Since developers are in high demand, many company leaders must devote significant resources to hiring them. That’s often easier said than done, especially if there are relatively few developers in the job market or those within it have plenty of choices regarding where to work.

A 2023 study gave a closer look at the job market for developers and those who want to hire them. One finding was that 53% of developers consider salary the most important factor of a potential job. Another 38% of respondents mentioned having a good work-life balance, and 28% wanted the option to work remotely.

Another finding was that 52% of developers plan to leave their jobs within the next year. Among that group, 67% said the desire to get a higher salary was the main reason behind that decision. That finding suggests managers and human resources professionals cannot merely assume they’ll be able to retain developers after hiring them. These workers know they’re in demand, so they can afford to be picky about finding and staying at the most suitable workplaces.

On the recruitment side, 23% of tech recruiters said they plan to hire at least 50 developers this year. About 42% cited developer retention as their top priority for 2023, and 46% of recruitment professionals said they’d have bigger budgets this year than last. However, it’s not a given that all recruits will find and attract all the developers they need. This is where LC/NC platforms will prove particularly useful.

They won’t eliminate the need to hire developers, but an LC/NC tool could meet business needs and fill gaps while the hiring process is ongoing. Companies can become more nimble and able to respond to marketplace changes faster than they otherwise might.

3. An Appealing Option for Small Businesses

People who own or operate small businesses often face additional challenges related to resource usage and being able to pursue growth like larger companies can. However, LC/NC platforms could change that, and many analysts who have examined the matter believe they will.

This is not the first time coding has gone through a major change. Object-oriented programming arrived in the 1980s and allowed people to design programs with objects. Similarly, the 1990s and 2000s necessitated using different types of code to meet emerging needs. Companies of all sizes must adapt to stay competitive, but it’s often more challenging for smaller enterprises to make those changes.

An Accenture report clarified why LC/NC tools are vital for helping small to medium-sized businesses (SMBs) adapt to the changing landscape and harness all their tech offerings. In the opening part of the document, the authors mention the e-commerce platform Shopify and how it was instrumental in enabling companies to keep operating once the COVID-19 pandemic closed many physical stores. They believe LC/NC tools will have an equal or bigger impact on small and medium businesses.

A statistic cited in the report mentioned that 70% of small businesses are ramping up their digitization efforts worldwide. Low-Code/No-Code tools are instrumental in allowing that to happen. Another finding was that one in five small and mid-size businesses (SMBs) began searching for LC/NC platforms because of difficulties finding digitally fluent workers.

Moreover, 47% of respondents believed enterprise-level IT solutions don’t meet their needs because those providing them don’t understand the associated challenges. They said the shift toward LC/NC among SMBs illustrates that issue. When offerings meant for larger companies fail to fill gaps, people will look elsewhere for alternative solutions.

4. Turning Shadow IT Into an Asset With LC/NC

Shadow IT occurs when people use IT products without explicit workplace approval. Many tech professionals view it as a major problem. Consider how a 2022 study revealed that 69% of tech executives view shadow IT as a primary concern related to adopting cloud or Software-as-a-Service tools. Another 52% of respondents said individual employees purchase apps for use at work without the IT department’s knowledge.

However, some advocate turning shadow IT into an asset with LC/NC apps. A McKinsey report explained how Low-Code/No-Code products could allow organizations to increase innovation and speed when business and IT teams collaborate.

The report detailed three specific ways to achieve those aims:

• Using enterprise-grade LC/NC platforms to customize and expand a product’s out-of-the-box capabilities
• Augmenting existing products to give them new features and capabilities
• Prototyping new ideas to establish use cases for new business applications

Many people use shadow IT products because the approved offerings don’t meet all their needs. These individuals are frequently unaware that they’re breaking any rules at their organizations and are merely trying to keep their workflows productive.

IT decision-makers should get feedback about any shortcomings associated with the approved products for employees to use. They could use LC/NC platforms to address those weak points with new products or options that alter what existing tools can do. After all, Low-Code and No-Code products typically shorten the overall development cycle, making workforces better equipped faster than traditional methods allow.

5. Company Representatives Discussing LC/NC More Often

Low-Code and No-Code technologies have a much better chance of succeeding when business leaders understand the advantages and are open to using them. A 2023 report showed a modest but notable rise in LC/NC discussions at companies.

The data indicated an 18% year-on-year increase in such talks in 2022 versus 2021. That’s important because discussions are often critical to help people with corporate buying power determine if they want to pursue certain possibilities.

Numerous software company representatives have pondered using LC/NC tools to reach internal aims faster than they could with conventional coding. Most business leaders know the importance of watching for changes in their respective industries and responding promptly. Otherwise, people who wait too long to react could face challenges catching up with their peers.

It also helps when companies have specific individuals who champion LC/NC products. Humans naturally resist change, even when they can see some of the advantages. However, when someone they know, trust, and respect encourages them to be open to Low-Code and No-Code products, it becomes more likely they’ll eventually embrace them.

These Low-Code/No-Code Trends Matter

Low-Code and No-Code platforms are still evolving, along with people’s opinions of them. Seeing how things play out in the coming months and years will be interesting. In any case, the five trends here are important to watch because they highlight the current state of things. Even if things change later, these ongoing patterns in LC/NC adoption and usage will likely shape what’s ahead.

Evolving Applications of Low-Code/No-Code

The LC/NC market is expected to grow 20% in 2023 alone and reach an estimated value of $26.9 billion. This technology has gained popularity in recent years as a means of closing skill gaps and making app and web development more efficient. However, it still lacks the flexibility of custom apps designed more traditionally by skilled developers.

Current applications for LC/NC development sit somewhere between off-the-shelf and custom solutions. How will these applications change in the next few years? Here are some of the areas in which developers can expect to see change.

Robotic Process Automation (RPA)

Robotic Process Automation is one of today’s most common applications for Low-Code/No-Code platforms. LC/NC is a great fit for RPA because it usually requires simplifying something that already exists, such as automating a specific workflow.

Low-Code/No-Code developers already know what they need from an app they want to build, so they can shortcut the process without significant User Experience (UX) design. The LC/NC approaches give new developers the tools to build and integrate a straightforward RPA app in the minimum turnaround time possible.

In the future, LC/NC platforms may include more advanced RPA capabilities, and may be able to integrate data from more sources or handle more tasks in a single app. This particular use case may lean more toward No-Code platforms, since automation will soon be necessary for more jobs. As more people without coding experience will seek the ability to use automation, the demand for RPA-specific No-Code platforms will increase.

Simple Web and App Development

The main apps and tools for which Low-Code/No-Code approaches are currently ideal are typically simple in scope and limited in distribution. Most often, a user develops an app solely for in-house use, for their own personal use, or for a one-time event or conference.

For example, Low-Code/No-Code is commonly used for replacing legacy systems. Digital transformation spending is expected to total $3.4 trillion worldwide by 2026. Businesses must evolve their operations and technology to keep up, but that can be difficult without a large development team. Low-Code/No-Code platforms allow companies to upgrade technologies and workflows without in-house developers.

Low-Code/No-Code development platforms aren’t intended for large-scale applications, nor are they ideal for supporting hundreds of users or managing massive quantities of data. In the future, this could change as the technology becomes more capable. For example, Artificial Intelligence (AI) could make it easier to create complex apps without requiring coding knowledge.

Challenges and Innovations in Low-Code/No-Code

How will the capabilities of Low-Code/No-Code platforms evolve in the future? What new applications are emerging? They will increasingly shift toward zero necessary IT involvement in the development process as AI makes it possible for nearly anyone to create original, customized code.

Generative AI-Powered Coding

Generative AI is changing the game in app and web development. Platforms like ChatGPT are opening the door for anyone to try developing their own app or website with zero prior experience. Users can type in a text prompt explaining what they want, and ChatGPT will do its best to generate code that fits the bill. It can also help debug code that users copy and paste into the prompt window.

Of course, platforms like ChatGPT are not foolproof. They do make mistakes, and users have found flaws and gaps in AI-generated code. As of 2023, ChatGPT-4 excels with small, specific chunks of code but breaks down when asked to write an entire application. It can deliver customized code, but only piecemeal. Developers still need to know what’s required and how it fits with the rest of their apps.

Platforms like ChatGPT could evolve into full-scale app development tools in the future. In many ways, AI is the ultimate Low-Code/No-Code platform. Users type in what they want the code to do and let the AI do the rest. Businesses will likely be able to function with small teams of developers who verify and implement it.

Greater Emphasis on Cybersecurity

One of the pitfalls of today’s Low-Code/No-Code platforms is a minimal ability to customize security features. The lack of visibility into the coding going on behind the scenes simplifies development but blinds developers to potential security risks. Additionally, people with no coding knowledge or experience using LC/NC approaches  may not be aware of important security features they should have or red flags to watch out for.

In the future, Low-Code/No-Code platforms will see more emphasis on cybersecurity. For example, the Online Worldwide Application Security Project (OWASP) has developed a framework of 10 key security protocols for Low-Code/No-Code apps. Developers can use it to learn about important security risks and features and how to address them in their development process.

The security options in Low-Code/No-Code platforms themselves will also grow in the years ahead. The global cost of cybercrime is expected to hit $11.5 trillion in 2023 and more than double that by 2027. There will be more demand for advanced security features as security threats grow. For example, developers might begin including AI threat-monitoring tools.

Clearer Intellectual Property Standards

Intellectual Property rights are a growing concern in coding and development, especially since AI can write functional code. When anyone can automate coding, who is really writing it? Who is the developer of new Low-Code/No-Code apps, and who has the IP rights to these programs and any profits made?

These questions must be resolved as Low-Code/No-Code platforms gain in popularity, particularly in the context of growing geopolitical complications surrounding IP rights. For instance, the war in Ukraine led Russia to implement a 0% license fee on IP content from “unfriendly countries” like the U.S. and European nations.

Code and apps can be subject to IP laws, not just content such as books and movies. Low-Code/No-Code platforms may soon be able to develop apps on the same level of customization and precision a professional developer could deliver, and the industry will need to decide who has the IP rights to these new apps—the people using the platforms, or those who designed them.

How Will Low-Code/No-Code Impact Developers?

Low-Code/No-Code technology’s role in the software development industry is also evolving. Everyone is wondering what the future holds for professional software developers today. The combination of AI and Low-Code/No-Code platforms leads many to wonder if they will become obsolete. While this will not happen anytime soon, the developer role is shifting.

Low-Code/No-Code platforms and AI like ChatGPT are tools, like any other technology. They can help developers do their jobs more efficiently and easily but cannot replace the expertise people can provide.

Resolving the skills shortage is one specific area where Low-Code/No-Code platforms will help developers. Coders and programmers are in high demand in all areas of computer science today.

For example, the shortage of cybersecurity professionals leaves many businesses ill-equipped to handle rising cybercrime rates. Similarly, over 37% of recruiters report struggling to find enough developers with the necessary skills for their businesses’ needs. However, young people continue to show a strong interest in computer science, indicating a growing talent pool.

Demand for software development skills continues to grow faster than the available talent pool can keep up with. Low-Code/No-Code platforms will help businesses fill those shortages. Smaller teams of developers can use them to work more efficiently and operate at the same level as a larger group.

Similarly, developers may not need to do much manual coding in the future. Their roles may shift toward designing, testing, and maintaining apps. Meanwhile, Low-Code/No-Code platforms and AI will do the bulk of the actual code-writing process. As a result, developers will be able to roll out apps faster and with less budget required.

Low-Code/No-Code Is Innovating Software Development

Low-Code/No-Code software development platforms are transforming how new apps, tools, and websites are created. Now anyone can get into software development, regardless of prior coding experience.

Low-Code/No-Code platforms will become more capable in the years ahead thanks to the advanced capabilities of AI models like ChatGPT. IP rights and cybersecurity will become important concerns as adoption grows. Professional developers will remain vital to the industry for the foreseeable future, although their roles will evolve to adapt to Low-Code/No-Code processes.

With rapid IT modernization, businesses are eager to adopt effortless application-building processes. Low-Code/No-Code platforms are modular approaches to application development that help users develop custom solutions without writing code line by line. As a result, even non-technical users can build and deploy apps, regardless of their coding experience.

The Low-Code/No-Code market continues to grow exponentially as the platforms enable faster application development with minimum coding and investment. Gartner reports that 70% of new applications will be developed using Low-Code or No-Code technologies by 2025.

If you plan to integrate LC/NC platforms into your teams’ workflows, this guide will help you decide whether LC/NC is the right choice.

What are Low-Code/No-Code Platforms?

While the terms Low-Code and No-Code are often used interchangeably, there are a few key differences between the two.

Low-Code framework is based on Graphical User Interfaces (GUI) that can process simple logic and offer drag-and-drop features. It does not require extensive coding. As it eliminates this bottleneck, users with basic technical aptitude can also design and update apps, reducing the overall coding time, app development cycle, and costs.

No-Code platforms require zero coding experience or technical skills. Any business user can take on application projects using this framework. Using only visual tools, No-Code platforms help create a fully functional app by dragging and dropping software components.

Advantages of LC/NC Platforms

The primary aim of LC/NC platforms is to remove the complexities associated with coding. They effectively address evolving business needs and thus are in high demand. Here are the top benefits of LC/NC platforms:

Less Reliance on Core Development Team

LC/NC tools drastically reduce the dependency on core development teams. Organizations looking to implement digital workflows no longer have to wait for approvals from their developers. With LC/NC tools, business users can rapidly build apps to automate their processes. As a result, the core IT team can focus on larger, contextual business problems and create solutions around them.

Limited Specialized Experience

LC/NC platforms help democratize technology. These tools empower business users and can play a crucial role in overcoming the growing developer shortage. Even a user without coding experience can design applications using the Low-Code/No-Code framework. This is especially beneficial for small and medium-scale businesses looking to digitize their processes on a budget.

Bridge the Gap Between Business and IT

LC/NC platforms create an agile environment that promotes collaboration between business and IT teams. As a result, developers are better equipped to understand the business problem, while non-technical users become more aware of the functionalities they require in their business apps. This clarity allows both teams to ask the right questions and collaborate more effectively to achieve better business outcomes.

Increased Productivity and Efficiency

LC/NC platforms offer pre-configured modules and functionalities that significantly reduce the development effort. This approach also lowers IT infrastructure investments and accelerates the development and launch cycle.

Limitations of LC/NC Platforms

Despite the numerous advantages of LC/NC platforms, they do not necessarily replace core development. Here are a few of the downsides to using these platforms:

Suitable Only for Simple Applications/Proof of Concept

Low-Code or No-Code platforms have built-in templates and components. These can help develop simple applications or Minimum Viable Products (MVP). However, if you need advanced features in your applications or if you need to scale your solution, core development would be necessary.

Limited Functionality/Design Choices

Since LC/NC platforms come with pre-built functionalities and modules, you may not get enough flexibility to customize the application. Plus, depending on your chosen LC/NC platforms, you’ll likely need to settle with available design options.

Security Concerns

When businesses rely on LC/NC platform providers, they also expose their data and systems, raising security concerns. If any security flaws are encountered, non-technical users may be unable to fix the issue on their own.

Top 5 Low-Code/No-Code Platforms

The top five LC/NC platforms each offer strong capabilities for individuals and business users.

Microsoft Power Apps

Technical giant Microsoft offers the cloud-based platform Power Apps to help business users build and deploy applications quickly.

Type of Platform
Microsoft Power Apps is a Low-Code platform that accelerates the app-building process. Integrated with Microsoft Dataverse, it links all your data with Microsoft 365, Dynamics 365, and Azure capabilities.

Applications
Microsoft Power Apps help with application modernization, streamlining migration projects, extending existing development capabilities, centralizing data, and automating manual processes.

Special Features
Microsoft Power Apps has a robust set of features that includes:

• AI copilot for rapid automation
• Process automation for simplified app building
• Drag-and-drop user interface
• Extensive integration with powerful connectors

Pricing
Microsoft Power Apps has pay-as-you-go plans that start at $0.30 per website per month for anonymous users. Subscription plans start at $75 for 500 anonymous users per website. For more details, check the pricing page at https://powerpages.microsoft.com/en-us/pricing/

Appian

Appian is an industry-leading software company that helps businesses with process automation and digital innovation.

Type of Platform
Gartner has recognized Appian as a top choice for Low-Code application platforms. It combines intelligent automation and Low-Code development to help businesses in their application-building processes.

Applications
Appian delivers hyper-automation that enables businesses to build and launch smart applications faster. The platform can help in creating native mobile apps as well as enterprise-wide systems. It is suitable for businesses of all sizes.

Special Features
This Low-Code platform is equipped with many features:

• Integration with native deployment tools like Jenkins
• End-to-end process automation
• Faster data design with data fabric
• Appian guarantee to deliver the first project in eight weeks

Pricing
Appian offers free trial services with a guided learning experience. There are other fully featured plans like Application, Platform, and Unlimited. The Application plan starts at $2 per user per month. The standard usage plan starts at $75. Get the details of different plans at https://appian.com/products/platform/pricing.html

Caspio

The American software company Caspio helps businesses create sophisticated cloud-based applications through its No-Code platform.

Type of Platform
Caspio offers a platform for No-Code application development with proprietary workflows to address unique business requirements.

Applications
Caspio can accelerate business transformation with minimum efforts and investment. It can also set up app protection and help with online application deployment.

Special Features

• Extensive integration possibilities with AWS, Paypal, Google Drive, Box, and more
• Massive scalability with AWS infrastructure
• Intuitive tools for data visualization and analysis
• Enterprise-grade security and regulatory compliance

Pricing
Caspio offers free service for light usage. It has other plans, including Explore, Build, Grow, and Corporate. The minimum charge is about $128 per month. You can get pricing plans at https://www.caspio.com/pricing

Mendix

Siemens is the parent organization of Mendix, which offers a highly productive platform for designing mobile and web applications.

Type of Platform
Mendix is a Low-Code platform that accelerates enterprise app delivery with unmatched expertise. With an intuitive visual User Interface (UI) and drag-and-drop functionalities, it can accelerate the app development lifecycle and also automate the involved processes.

Applications
Mendix helps businesses with application lifecycle management, secure data integration, continuous delivery support, app features extension, and other functionalities.

Special Features
Some of the unique features of the Mendix platform include the following:

• Model-driven development for reduced human intervention
• Streamlined digital initiatives for workflow automation
• Robust version control to work on different app features
• Collaborative project management with Mendix Developer Portal

Pricing
Mendix pricing is based on the number of apps to be built: One, or Unlimited. It offers free trial versions for both. Basic, Standard, and Premium plans start at about $63 per month for one app. Check pricing details at https://www.mendix.com/pricing/

Zoho Creator

The multinational technology company Zoho Corporation offers an app-building platform, Zoho Creator. This full-stack product helps businesses create customized applications easily.

Type of Platform
Zoho Creator is a Low-Code application development platform that requires minimal coding. It is user-friendly and has many built-in features and functions.

Applications
Zoho Creator is an excellent choice for developing custom applications quickly from pre-built blocks. Zoho offers multi-platform access as it is also compatible with iOS and Android devices. It also helps create insightful reports to optimize business processes.

Special Features

• Abstracts 90% of complexities in the application development cycle
• Drag-and-drop elements for instant app-building
• Unified data service for centralized management
• Data-structure visualization with cross-functional analytics

Pricing
Zoho Creators offer a 15-day free trial service. It has monthly and yearly pricing plans that start at $11. It also offers flexible pricing options if you need a tailored plan. Learn more about the pricing here: https://www.zoho.com/creator/pricing.html

Choosing the Right LC/NC Platforms

While both Low-Code and No-Code platforms offer programmers and non-programmers the ability to rapidly build apps and deploy them as a service, choosing between them depends on several factors.

When evaluating the LC/NC platforms, consider the following:

• Objective: Low-Code platforms are typically preferable for complex use cases and business-critical requirements that demand on-premises or cloud integrations. On the other hand, No-Code platforms are ideal for a narrow set of use cases with limited scalability requirements.
• Integration Capabilities: LC/NC platforms should offer connectors to integrate external databases and other business applications.
• Automation: It is critical to evaluate the platforms based on automation capabilities. Look for tools that offer Artificial Intelligence/Machine Learning-assisted development to automate repetitive tasks and enhance productivity.
• Hosting: Your LC/NC vendor must offer flexible hosting options to avoid costly lock-ins. It could be on-premises, on-cloud, or hybrid. Some vendors even allow hosting applications on your public/private cloud. Such an arrangement enables better control over your Continuous Improvement/Continuous Delivery (CI/CD) pipelines.
• Security: Choosing LC/NC platforms that offer robust security features is critical. When evaluating different platforms, look for vendor certifications such as Health Insurance Portability and Accountability Act (HIPAA), Payment Card Industry Data Security Standard (PCI-DSS), General Data Protection Regulation (GDPR), ISO/IEC 27001, and more.
• Vendor support: Your vendor should offer comprehensive support to resolve queries quickly. Without good support services, your citizen developers will likely reach out to your core development teams and occupy them with easily avoidable tasks.
• Cost: When starting out, it is better to evaluate each LC/NC platform through the free tier. Some vendors also offer pay-as-you-go models that will allow you to control your costs based on the frequency of usage.

Low-Code/No-Code movement is accelerating rapidly, allowing organizations to design, build, and ship custom applications quickly and with minimal technical expertise. These platforms drastically reduce the dependency on core developers while empowering business users to innovate faster.

For organizations looking to achieve their digital transformation goals, it is a good time to embrace LC/NC platforms and bolster growth.

A survey from Appian shows that 82% of companies struggle to attract and retain the software engineers they need. Developers engaged by companies are also finding it challenging to meet deadlines. In one study, 47% of software engineers who responded said they lacked the tools to build apps and products quickly enough to meet their deadlines.

Low-Code and No-Code (LC/NC) development enables businesses to address these challenges more efficiently. These innovative application development approaches help generate automated code using Graphical User Interfaces (GUIs) like drag-and-drop features and pull-down menu interfaces to make it possible for enterprises to speed up app development by a factor of 10.

Enterprises with no or limited technical resources can leverage LC/NC to create, modify, and deploy applications faster. While the terms Low-Code and No-Code are often used interchangeably, the two approaches have key differences. If you’re planning to integrate LC/NC in your development processes, it’s essential to understand these differences to identify the development approach that will best meet your specific project requirements.

What is Low-Code?

Low-Code is a middle path between manual coding and no coding. Low-Code developers can add their own code over automatically generated code, which helps them customize and integrate their applications.

Pros of Low-Code

• Helps businesses develop applications by depending less on Information Technology (IT) teams.
• Allows faster delivery of software solutions by reducing the time and effort of manual coding.
• Helps solve the market limitations of talented developers by facilitating development by people with little-to-no coding ability.
• Empowers digital transformation and innovation by allowing quick development, testing, and deployment of applications that leverage such next-generation technologies as cloud computing, Artificial Intelligence (AI), Robotic Process Automation (RPA), data analytics, and the Internet of Behaviors (IoB).

Cons of Low-Code

• Can promote “Shadow IT,” the unauthorized development and deployment of applications and IT services beyond those recognized by an enterprise.
• Can limit application customization due to the constraints of features and libraries.
• Proprietary Low-Code platforms, or those that are incompatible with other platforms, can lead to vendor lock-in and portability issues.
• Platforms require frequent updates and audits.
• Applications must be properly tested and verified to prevent security and compliance risks.

What is No-Code?

As the name implies, No-Code is a software development approach that requires zero coding skills to build applications quickly. In other words, it is a hands-off approach that depends solely on visual tools.

Pros of No-Code

• Cost-effective; it allows businesses to build applications without the need to hire developers or outsource software development projects.
• Eliminates the time and effort of manual coding and testing.
• Applications are easily customizable, as users can easily change and update using such simple visual tools as drag-and-drop.
• Easily accessible, regardless of a user’s coding skills or background.

Cons of No-Code

• Functionality is dependent on platform capabilities and, in most cases, offers limited functionality and doesn’t support specific IT requirements.
• May not comply with industry standards or regulations and may expose sensitive data, causing security issues.
• Lacks flexibility and is difficult to integrate with other platforms or systems.
• Restricts users from easily migrating or exporting applications.
• Can affect the reliability and speed of applications with code bloat, leading to poor performance.

Low-Code vs. No-Code: Differences and Similarities

Working Principle

• Low-Code: Platforms have easy-to-use GUIs that let users automate codes. Therefore, they can easily customize applications by adding their logic to auto-generated code.
• No-Code: Development approach solely depends on GUIs, which enables users to build applications without coding. It restricts the users from adding their own code over auto-generated code.

Target Users

• Low-Code: Suited for people with minimal coding skills who want to accelerate their application development process. It is also the best fit for enterprises that want to build customized applications without depending on highly skilled coders or developers.
• No-Code: Allows people with no coding skills to easily build simple, standalone applications. Businesses that want to build self-service applications and dashboards can also take this approach.

System (Open or Closed)

• Low-Code: Has an open system that allows users to access and modify the underlying code. Low-Code applications or platforms can be easily integrated with existing systems and external plugins.
• No-Code: Has a closed system that doesn’t allow users to access and modify the underlying code. No-Code applications or platforms can offer only limited integration with existing systems and external plugins.

When to Use Low Code vs. No Code

Here are the four major use cases for Low-Code development platforms:

UI Design

With minimal coding by using GUIs, people can use Low-Code methodology to create engaging User Interfaces (UIs) that go well with multiple devices, platforms, and Operating Systems.

API Generation

Low-Code platforms can help anyone create Application Programming Interfaces (APIs) for both legacy and new applications by analyzing existing application code and auto-generating API code.

UX Design

Low-Code platforms help users create engaging User Experience (UX) through an enterprise’s products and services, such as web portals, mobile applications, or Progressive Web Apps (PWAs).

Containerization

Low-Code platforms let users speed up the development and deployment of containerized applications to multiple environments like the public cloud. Low-Code applications can easily integrate with open-source containerized application deployment and management systems like Kubernetes.

Here are the four major use cases for the No-Code development approach:

Business Intelligence (BI) Reporting

No-Code platforms help BI analysts and developers create reporting tools that transform raw data into meaningful insights by using GUIs and pre-built templates.

Process Automation

No-Code empowers developers to automate such repetitive tasks as data entry and invoice processing without the need for coding.

Interactive Web Portals

No-Code platforms let companies create interactive web portals that offer self-service solutions to customers, such as submitting claims, paying bills, or generating quotes by using interactive themes and layouts and integrating with other platforms.

The Future of Low-Code and No-Code

Three major trends and predictions that show the future is bright for LC/NC approaches: widespread adoption, the rise of amateur programmers, and convergence with other innovative technologies.

Gartner estimates that by 2026, developers outside of conventional IT teams will make up 80% of users of Low-Code tools, up from 60% in 2021. That means more non-technical people will start building applications using these technologies. These amateur programmers are also known as “citizen developers.”

Low-Code and No-Code technologies are already getting integrated with such innovative technologies as AI, blockchain, the Internet of Things (IoT), Augmented Reality (AR), and Virtual Reality (VR).

This convergence will lead to more innovation and interactive applications. For example, bringing Low-Code or No-Code together with AI can automate tasks, provide recommendations, generate code, and enhance UX.

However, the LC/NC movement also comes with a few challenges or limitations, such as security, scalability, customization, and integration. While these approaches may not solve every software development problem, they successfully demonstrate how several development phases can be simplified.

In the future, more enterprises and individuals will embrace Low-Code and No-Code tools as they become more widely available and their benefits become more apparent within the community of developers and IT leaders.

The cloud networking market has made it easier for companies to use intent-based networking, business intelligence (BI), configuration management, and services such as software-defined, cloud, edge, and networking solutions.

For more network trends: Top Network Segmentation Trends

Top 5 Cloud Networking Trends

1. Enterprise Network Strategy In The User’s Home

Changing workforce expectations have led many companies to a more globally distributed remote workforce – a trend that also rises with the cloud. 

As a result, enterprise networking infrastructure now has to support users in their homes.

Drit Suljoti, co-founder and CTO of Catchpoint, a digital experience monitoring platform provider, explained that consumer-grade networking technology does not always offer the levels of support and visibility necessary for remote work, which is increasingly becoming a problem.

“Organizations across the board have experienced the frustrations and performance volatility that can result from consumer-grade WiFi, VPN clients, and increased dependence on the internet from the employee’s wider household,” Suljoti said. “At the ground level, how can IT support desks ensure they have the necessary visibility into the daily digital life of their remote employees? 

“These mission-critical teams need the ability to understand the digital performance of an individual’s device, network, and applications, and the third-party providers they rely on. This is even more essential when employees are working remotely, without on-site support to troubleshoot performance issues.”

Bob Friday, VP and CTO of Mist, Juniper’s artificial intelligence (AI)-driven enterprise business, believes that many companies are starting to respond to this remote work shift by increasing networking security and monitoring their employees’ remote work environments.

“[A] major shift is in how enterprise-level networking trends are becoming increasingly important for personal users as well,” Friday said. “Whether you’re an executive at a company or you work in a profession that puts you into contact with sensitive information, the continued normalization of remote and hybrid work environments means that enterprise-grade networking and security will move into the home networking space.

“To ensure end-to-end network visibility, reliability, and security, we can expect enterprise-grade networking solutions to begin permeating remote and hybrid workforces, as enterprise IT teams take an even sharper look at their network edge.”

2. Networking With Remote AI Support

Users and enterprise devices often need technical support that was normally provided in the office. As remote work – again, supported by the cloud – continues to become a standard approach, many companies are adopting AI solutions to assist with customer experience (CX) and support requirements of the network.

“More help is needed in managing this critical infrastructure, which is why AI has become a necessity for network management,” said Friday. “Enterprises and technology providers have already adopted AI assistants in their networking support teams. Cloud AI has enabled a new tech support model, one that has created the volume and quality of data necessary to train AI technologies. 

“This AIOps model has led to incredible progress. At present, AI can answer up to 70% of support tickets with the same effectiveness as a domain expert. Eventually, this AIOps technology will move all the way to the end-user. 

“And like the average human employee, AI has the ability to learn and improve over time, thus providing a better customer experience consistently and proactively. But unlike the average human employee, that skill and expertise is not lost when they retire or quit. The more that AI is used as part of the IT help desk, the more the technology can improve its answers and, ultimately, the end-user experience.”

3. The Growth Of Intent-Based Networking (IBN)

Networking technology continues to grow more sophisticated. Particularly with the more widespread use of software-defined networking (SDN), intent-based networking is being used more in enterprise networks that want additional business intelligence (BI), configuration management, and other features embedded in their networks. All of these feature are part of the growing sophistication of cloud technology. 

Eric McGee, senior network engineer at TRG Datacenters, a data center vendor, explained why IBN is helpful to network administrators who want to better understand and manage their networks.

“One important networking technology trend that network engineers need to take note of is the emergence of intent-based networking,” McGee said. “The main role of IBN is to capture business intent and apply these insights across the network, ensuring that network administration is aligned with business intent. In other words, the IBN framework will receive an intent from the business and translate it, or encode it into the configuration of the network, resulting in the desired changes. Now, the network infrastructure is aligned with the business’s current needs.

“IBN also enables the automation of network administrative tasks involved, such as the configuration of networks, mitigation of risks, as well as the reporting and solving of network issues. Implementing IBN as a form of network administration makes the process of creating, managing, implementing, and monitoring network policies easier, simpler, and less labor-intensive. A lot of the manual effort put into traditional configuration management is made redundant when IBN is implemented.”

4. Holistic Networking Offerings

Traditional networking solutions typically need a variety of hardware and software components to work properly. 

However, as networks continue to evolve their software-defined, cloud, edge, and solutions, many networking vendors are offering more holistic networking packages to manage every aspect of the network.

Patrick MeLampy, Juniper Fellow at Juniper Networks, a top global networking company, believes that enterprise client-to-cloud connectivity is one of the biggest drivers behind more unified networking packages.

“I’d have to say that there are a few key networking trends that are gaining steam,” MeLampy said. “Enterprise client-to-cloud connectivity service offerings will take off. This means we’ll see Wi-Fi, wired, routing, and security capabilities pulled together, all in one simple offering, making it more efficient and effective for teams to manage ever-expanding networks.”

For more on cloud networking: The Cloud Networking Market

5. Managing Network Data With Different Ops Methodologies

With more software- and cloud-based networking solutions used across the board, several companies are looking into new ways to manage and read their networking data.

Richard Larkin, manager of North America sales engineering at NetBrain, a next-gen network operations company, believes that the knowledge and approach of different ops teams are particularly applicable to new ways of automating network data management. 

“The days of managing networks with SNMP polling and traps as well as Syslog data are almost over,” Larkin said. “Many enterprises still leverage these telemetry sources, but it’s not enough. We need a more comprehensive solution harvesting data, from API, CLI, packet, netflow, and other sources, to get the complete picture as well as visibility into SD-WAN, SDN, cloud, and SaaS offerings.

“A trend that I am seeing is the blending and blurring of lines between NetOps, SecOps, and DevOps. With networks becoming more software-defined and cloud-based, organizations are trying to fill the gap of the traditional network monitoring data (SNMP, Syslog, etc.) with homegrown solutions using Python, Ansible, and other coding. What would be interesting is if there was an easier way to codify the knowledge of the NetOps teams that required minimal coding and can be produced in minutes, not hours, days, and weeks.”

For more on networking management: The Network Management Market

The Future Of Cloud Networking

With the vitality in cloud networking for businesses, these trends above will further develop in the future, offering more opportunities for the growing market. From automation and network efficiency, businesses will see more benefits than ever.

Looking ahead, the future developments in cloud networking may include:

• Networking automation: Using network automation will help a company with a variety of tasks, including configuring, provisioning, managing, and testing network devices.
• Network-as-a-Service (NaaS): NaaS is a cloud model that allows users to control their network and attain the performance they expect from it without having to own, build, or maintain their infrastructure.
• 5G Cellular: 5G, the latest cellular update, allows a new network designed to connect virtually, including machines, devices, and more.
• Wi-Fi 6: Wi-Fi 6 is the new release for Wi-Fi network protocol that can be faster than its predecessors due to more focus on traffic and other technologies.
• Network Efficiency: With improved network scalability in the next couple of years, traffic will be aggregated for IP and Ethernet platforms. 
• Universal Networks: In the future, networking will have the ability to add new protocols and functions for better service. This can include services such as Ethernet services, mobile services, and more.

Along with the listed predictions and processes, more technologies are developing in networking, including AI, ML, the cloud, edge computing, Internet of Things (IoT), and more as they continue to play an increasingly important role in the future of networking. 

Bottom Line: Top Cloud Networking Trends

With remote training becoming a necessity in businesses, networking can help manage workers at home with a network strategy and remote AI support – a trend that leverages cloud networking to a great extent. 

Companies can use tools such as software-defined networking (SDN), intent-based networking, business intelligence (BI), and configuration management through their networking infrastructure.

Networking used to be based on hardware-defined networking, increasingly also offers services such as software-defined, cloud, edge, and networking solutions. 

For more information: Top 10 Enterprise Networking Companies

By being permitted to access the traffic, activity, and behavior of a network’s applications, proxy firewalls can maintain the integrity, security, and privacy of the network’s servers, apps, and databases from malicious traffic, malware, and unauthorized access attempts.

Continue reading to learn more about how application-level gateways work, their most beneficial features, their pros and cons, and examples of leading vendors. 

For more information, also see: Why Firewalls are Important for Network Security

How Application-Level Gateways Work

As the name suggests, application-level gateways work by being the only gateway between the network’s internal activities, like users and applications, and the public internet. All traffic that’s incoming or outgoing to the application layer in the network passes through the gateway and gets scanned for any malicious or unauthorized activity.

It’s also called a proxy firewall because it utilizes proxies to set up a private connection that remote users can access the network through, without compromising on speed or security. However, this type of firewall only works on Layer 7 of the Open Systems Intercommunication (OSI) model, which is the layer where the network’s applications, software, and programs operate and access the internet.

This process allows the firewall to avoid direct connections between your network’s applications and outside traffic before it’s completely verified. As a result, this creates an added barrier that makes it harder for intruders and infiltrators to either access your network or even extract information from any exchanged data packets.

With this setup, only one server per network segment has direct access to the public internet. All other devices would have to route their traffic through it, whether it’s outgoing or incoming.

For more information, also see: What is Firewall as a Service?

Features of Application-Level Gateways

Proxy firewalls are one of the best solutions available on the market for application-based networks. They stand out from all the other types of firewalls that can also protect applications, thanks to a number of features the average proxy firewall comes equipped with, such as:

Bandwidth Usage Reduction

Application-level gateways routinely save cache webpages and traffic of the most visited sites and addresses. This reduces the strain on your network’s bandwidth by not having to load frequently-requested pages multiple times in a row.

This also enables the gateway to improve overall performance. Applications and users looking to access the website can reach it more quickly, without having to go through the rest of the network’s traffic first.

Intruder Protection

By continuously monitoring the inbound network traffic and scanning it thoroughly before it even makes contact with any of the network’s internal elements, proxy firewalls are capable of detecting intruders more effectively.

Sophisticated Filtering

Application-level firewalls often carry many traffic filters used to scan both incoming and outgoing data, searching for malicious intent or suspicious behavior. Additionally, some filters are also capable of monitoring other Layer 7 activity, such as network requests, external logs, and manually saved cached files.

Security Policy Enforcement

Similarly to other types of firewalls, application-level firewalls also centralize and simplify the process of setting up and enforcing security policies on the application layer of the network.

This ensures all regulations and configurations in the network are up to date, and no application is left following outdated—and possibly risky—security policies.

Site Access Control

As the middleman between all of the network’s applications and the public internet, application-level firewalls can also restrict and control which websites can be accessed through its proxy.

You can set this up manually, blocking all communications to a number of determined websites. Alternatively, the process could be automated to block or restrict access to all websites that are flagged on databases of malicious sites or meet a set of conditions, such as a security or privacy policy you don’t deem suitable.

Internet Access Control

Application-level firewalls are capable of mass-preventing specific users and applications from gaining access to the internet as a whole. The restrictions can be exclusive to high-risk users and applications, or simply members deemed in no need of immediate internet access.

For more information, also see: Artificial Intelligence in Cybersecurity

Advantages and Disadvantages of Using Application-Level Gateways

When it comes to understanding the inner workings of application-level gateways, it’s important that you acquire a general knowledge of their advantages and disadvantages as a stand-alone solution.

Advantages of Application-Level Gateways

Application-level gateways are most known for the added level of security it provides by using proxy technology to isolate the application layer in the network from outside connections. It’s also responsible for the verification and authentication of incoming traffic and connection requests.

This allows it to greatly reduce the risks of DDoS (Distributed Denial of Service) attacks and IP spoofing attacks. Additionally, they allow for optimal user anonymity by hiding the network’s IP address from any outside parties, even during verified connections. Any connection request is forwarded through the main IP address of the network’s proxy.

When it comes to individual threats, proxy firewalls are highly effective at identifying and assessing the levels of incoming threats. Most options employ Deep Packet Inspection (DPI) technology alongside the proxy servers to analyze threats and block them promptly.

For individual applications connected to the proxy, all of their commands get screened and analyzed while in data packets before they’re executed or released outside the network. This can all be logged for further examination and auditing efforts later on.

Disadvantages of Application-Level Gateways

Application-level gateways still have a handful of drawbacks and weak points, especially when used as a stand-alone security solution with no added tools or features.

For one, they’re more prone to experiencing bottlenecks as all the network’s incoming and outgoing data is redirected towards a single point of processing. The stricter the monitoring rules on the proxy server, the slower the data flow.

Proxy firewalls also have major compatibility problems, as they can’t support a wide variety of connection types and network protocols. This can greatly limit the pool of servers and agents your application layer is able to connect with, without needing additional tools.

Similarly, not all applications are compatible with proxy servers. By not being proxy-aware, applications can sometimes ignore the presence of the proxy server and attempt to connect to the internet directly.

While some application-level gateways’ drawbacks can be fixed or reduced in effect through proper configuration, that’s not easy to do. Furthermore, any misconfigurations in the setup of the firewall may leave some gaps in your security, such as open ports.

On a related topic, also see: Top Cybersecurity Software

Examples of Application-Level Gateway Providers

There are countless cybersecurity providers on the market that offer proxy firewalls, either exclusively or as a part of a bigger ecosystem of network security solutions.

Following are a couple of the leading application-level gateways providers on the market:

F5 Networks

F5 Networks is a Seattle, Washington-based IT and technology company that provides application security, cloud management, and online fraud prevention solutions among many others. 

The Advanced Web Application Firewall (AWAF) is the core security component of F5’s suite of application delivery and management services. It employs cutting-edge technology to help you consolidate and manage traffic, network firewall, SSL inspection, and application access.

Juniper Networks

Juniper Networks is a Sunnyvale, California-based technology and networking company that develops and sells a number of computer networking software and hardware, from routers and switches to network management software and network security solutions.

The Application Layer Gateway (ALG) is a piece of software that’s capable of managing session protocols and providing application-layer-aware packet processing on network switches on devices running Junos OS.

For more information, also see: How to Secure a Network: 9 Steps

When to Use an Application-Level Gateway?

Application-level gateway solutions are the perfect solution for networks with a high percentage of their traffic originating from Layer 7 in the OSI model. It can help you better control the activity and behavior of your network’s applications and the users that access them, reducing the risks of malicious attacks, DDoS attacks, unauthorized access, and IP spoofing attacks.

It’s important that your application layer is never left to connect to the public internet unguarded and without a firewall or proxy. Whether you’re looking to segment and better specialize your network security strategy or simply need to secure the newly-added application layer to your network, proxy firewalls are the way to go.

Bottom Line: Application-Level Gateways

Application-level gateways behave as an intermediary between a network’s applications and the open internet. Also called proxy firewalls, they help you set up a proxy server between the applications and outside connection, where exchanged traffic is constantly monitored for malicious activity.

It’s the perfect solution for securing applications that regularly connect to the web. However, their capabilities don’t stretch to the remaining layers of the networks and shouldn’t be used alone as a holistic security solution.

Particularly with innovations like the cloud, edge computing, Internet of Things (IoT) devices, and streaming, big data has become more prevalent for organizations that want to better understand their customers and operational potential. 

Big Data Trends: Table of Contents

• Real Time Analytics
  
• Stronger Reliance on Cloud Storage
  
• Ethical Customer Data Collection
• AI/ML Powered Automation
• Big Data in Different Industries
• Challenges in Big Data
• Bottom Line: Big Data Trends

Real Time Analytics

Real time big data analytics – data that streams moment by moment – is becoming more popular within businesses to help with large and diverse big data sets. This includes structured, semi-structured, and unstructured data from different sizes of data sets.

With real time big data analytics, a company can have faster decision-making, modeling, and predicting of future outcomes and business intelligence (BI). There are many benefits when it comes to real time analytics in businesses:

• Faster decision-making: Companies can access a large amount of data and analyze a variety of sources of data to receive insights and take needed action – fast.
• Cost reduction: Data processing and storage tools can help companies save costs in storing and analyzing data. 
• Operational efficiency: Quickly finding patterns and insights that help a company identify repeated data patterns more efficiently is a competitive advantage. 
• Improved data-driven market: Analyzing real time data from many devices and platforms empowers a company to be data-driven. Customer needs and potential risks can be discovered so they can create new products and services.

Big data analytics can help any company grow and change the way they do business for customers and employees.

For more on structured and unstructured data: Structured vs. Unstructured Data: Key Differences Explained

Stronger Reliance On Cloud Storage

Big data comes into organizations from many different directions, and with the growth of tech, such as streaming data, observational data, or data unrelated to transactions, big data storage capacity is an issue.

In most businesses, traditional on-premises data storage no longer suffices for the terabytes and petabytes of data flowing into the organization. Cloud and hybrid cloud solutions are increasingly being chosen for their simplified storage infrastructure and scalability.

Popular big data cloud storage tools:

• Amazon Web Services S3
• Microsoft Azure Data Lake
• Google Cloud Storage
• Oracle Cloud
• IBM Cloud
• Alibaba Cloud

With an increased reliance on cloud storage, companies have also started to implement other cloud-based solutions, such as cloud-hosted data warehouses and data lakes. 

For more on data warehousing: 15 Best Data Warehouse Software & Tools

Ethical Customer Data Collection 

Much of the increase in big data over the years has come in the form of consumer data or data that is constantly connected to consumers while they use tech such as streaming devices, IoT devices, and social media. 

Data regulations like GDPR require organizations to handle this personal data with care and compliance, but compliance becomes incredibly complicated when companies don’t know where their data is coming from or what sensitive data is stored in their systems. 

That’s why more companies are relying on software and best practices that emphasize ethical customer data collection.

It’s also important to note that many larger organizations that have historically collected and sold personal data are changing their approach, making consumer data less accessible and more expensive to purchase. 

Many smaller companies are now opting into first-party data sourcing, or collecting their own data, not only to ensure compliance with data laws and maintain data quality but also for cost savings.

AI/ML-Powered Automation

One of the most significant big data trends is using big data analytics to power AI/ML automation, both for consumer-facing needs and internal operations. 

Without the depth and breadth of big data, these automated tools would not have the training data necessary to replace human actions at an enterprise.

AI and ML solutions are exciting on their own, but the automation and workflow shortcuts that they enable are business game-changers. 

With the continued growth of big data input for AI/ML solutions, expect to see more predictive and real-time analytics possibilities in everything from workflow automation to customer service chatbots.

Big Data In Different Industries 

Different industries are picking up on big data and seeing many changes in how big data can help their businesses grow and change. From banking to healthcare, big data can help companies grow, change their technology, and provide for their data.

Banking

Banks must use big data for business and customer accounts to identify any cybersecurity risk that may happen. Big data also can help banks have location intelligence to manage and set goals for branch locations.

As big data develops, big data may become a basis for banks to use money more efficiently.

Agriculture

Agriculture is a large industry, and big data is vital within the industry. However, using the growing big data tools such as big data analytics can predict the weather and when it is best to plant or other agricultural situations for farmers.

Because agriculture is one of the most crucial industries, it’s important that big data support it, and it’s vital to help farmers in their processes. 

Real Estate And Property Management 

Understanding current property markets is necessary for anyone looking, selling, or renting a place to live. With big data, real estate firms can have better property analysis, better trends, and an understanding of customers and markets.

Property management companies are also utilizing their big data collected from their buildings to increase performance, find areas of concern, and help with maintenance processes.

Healthcare

Big data is one of the most important technologies within healthcare. Data needs to be collected from all patients to ensure they are receiving the care they need. This includes data on which medicine a patient should take, their vitals are and how they could change, and what a patient should consume. 

Going forward, data collection through devices will be able to help doctors understand their patients at an even deeper level, which can also help doctors save money and deliver better care.

Challenges in Big Data

With every helpful tool, there will be challenges for companies. While big data grows and changes, there are still challenges to solve.

Here are four challenges and how they can be solved:

Misunderstanding In Big Data

Companies and employees need to know how big data works. This includes storage, processing, key issues, and how a company plans to use the big data tools. Without clarity, properly using big data may not be possible.

Solutions: Big data training and workshops can help companies let their employees learn the ins and outs of how the company is using big data and how it benefits the company.

Data Growth

Storing data properly can be difficult, given how constantly data storehouses grow. This can include unstructured data that cannot be found in all databases. As data grows, it is important to know how to handle the data so the challenge can be fixed as soon as possible.

Solutions: Modern techniques, such as compression, tiering, and deduplication can help a company with large data sets. Using these techniques may help a company with growth and remove duplicate data and unwanted data.

Integrating Company Data

Data integration is necessary for analysis, reporting, and BI. These sources may contain social media pages, ERP applications, customer logs, financial reports, e-mails, presentations, and reports created by employees. This can be difficult to integrate, but it is possible.

Solutions: Integration is based on what tools are used for integration. Companies need to research and find the correct tools.

Lack Of Big Data Professionals

Data tools are growing and changing and often need a professional to handle them, including professionals with titles like data scientists, data analysts, and data engineers. However, some of these workers cannot keep up with the changes happening in the market.

Solutions: Investing money into a worker faced with difficulties in tech changes can fix this problem. Despite the expense, this can solve many problems with companies using big data.

Most challenges with big data can be solved with a company’s care and effort. The trends are growing to be more helpful for companies in need, and challenges will decrease as the technology grows. 

For more big data tools: Top 23 Big Data Companies: Which Are The Best?

Bottom Line: Growing Big Data Trends

Big data is changing continuously to help companies across all industries. Even with the challenges, big data trends will help companies as it grows.

Real time analytics, cloud storage, customer data collection, AI/ML automation, and big data across industries can dramatically help companies improve their big data tools.