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Our team of specialists wanted to share some articles on technologies, services, trends and news of our industry in the era of digital transformation.

Trends are constantly changing and evolving. One year’s top information technology trends can quickly become a commodity the following one. Getting your organization aligned with new technologies and trends is a complicated job but very necessary if the goal is to stand out from the competition and offer more value to your customers.

Huenei’s development and technology team conducted an exhaustive study of the technology market to understand what are the 12 trends that will reign in 2022. In this article, we want to share them with you and briefly comment on each of them. Let’s start!

woman analyzing top information technology trends

Trend #1: Data Fabric

This data architecture allows optimization of data management and access. It makes it easy to prepare databases and helps orchestrate them for self-service delivery to data consumers. In this way, access to data can be provided at the time it is needed, regardless of where it is being accessed. It is a perfect strategy to incorporate automation in organizational database management.

 

Trend #2: Cybersecurity Mesh

The cybersecurity mesh is a security strategy that focuses on the implementation of specific controls in the IT tools of an organization like yours. Tools work intertwined, providing essential security services and data and access management. The virtue of this approach is to define a security parameter around digital assets (Apps, IoT, Cloud, etc.).

 

Trend #3: Computing Improving Privacy and Security

It is common to hear about companies that have suffered a security incident due to information leakage. Therefore, the incorporation of good computer practices to prevent it is key. Companies must focus on taking advantage of IT tools that help mitigate these risks. For example, the implementation and dissemination among employees of the company’s internal security policies is an essential activity. In addition, companies have products and services to prevent and mitigate information leaks, such as content filters, access control, and secure storage of sensitive information.

 

Trend #4: Cloud-Native Platforms

These applications are key as they allow you to take advantage of the benefits associated with the cloud. They facilitate fast and sustainable implementations over time, presenting high levels of automation and decoupling of dependencies. In the context of regular updates and modifications to the platform environment, native cloud platforms manage to adapt better than their predecessors.

 

Trend #5: Composable Apps

One of the leading top information technology trends for 2022 is composable technology. This kind of IT enables businesses of all sizes to dynamically create services. These applications are developed with modular, business-focused components, enabling code reuse and faster timelines. This is an infrastructure capable of dynamically responding to the business needs of companies considering the traditional model and the current paradigm.

 

Trend #6: Decision Intelligence

Data analysis and manipulation systems allow companies to scale the pyramid of competitiveness and obtain essential insights about the business, the market and, customers. In 2022, the trend of business intelligence, data science, and customer data management will continue to develop.

 

Trend #7: Hyper-automation

The hyper-automation market is growing exponentially. Important companies from various fields have been venturing into this world for a few years. But 2022 will be the year these technologies become accessible to the early and late majority. In this type of industry, robots are dedicated to selecting, managing, and delivering products, as well as managing information flows. Artificial intelligence and machine learning are used for decision-making, monitoring, and surveillance of the different activities of robots and people in the organization. Will your company ride this new wave?

 

Trend #8: AI Engineering

Artificial intelligence engineering represents tools to face challenges and lead high-impact solutions. Artificial intelligence engineers apply engineering principles and take advantage of mathematical models to optimize decision-making. Thanks to artificial intelligence, organizations automate processes and make decision-making effective.

 

Trend #9: Distributed Enterprise

After approximately two years of the pandemic, companies had to adapt to the “new normal”. In this context, more and more organizations have adopted a remote or hybrid work structure. Huenei’s team firmly believes this will continue to be a top information technology trend this year. Remote work allows many organizations to minimize operating costs, as well as optimize certain work processes for their employees. In line with these benefits, companies that work in a hybrid way (for example, three days from home and two from the office) have shown great results, taking advantage of the benefits of the remote/distributed model, without losing the interaction that employees can have in an office environment.

 

Trend #10: Total Experience

This concept refers to the complete knowledge of the clients and their specific needs. Your organization can implement customer data management and customer relationship management systems to achieve levels of service excellence.

 

Trend #11: Autonomous Systems

Thanks to adaptive technologies, it is possible to enhance the capabilities of your organization, as well as optimize the development time of software products and work in general. In this way, these autonomic systems allow computers and software to self-manage.

 

Trend #12: Generative AI.

Generative artificial intelligence is a branch of AI that is in full growth and development. It is an approach where machines learn from past information and manage to apply this knowledge to solve new problems that do not necessarily have to be directly related to the learning set. We like to understand it as teaching the machine to “think” and not just “learn”, as is the traditional approach to machine learning.

 

These are the trends that our team has revealed and collected based on our experience and knowledge of the market. What’s the next step? Apply them! It may be difficult to join them all, but surely you can identify which are the ideal and essential ones to develop in your company.