These are the IT trends of 2022

The end of 2021 is approaching, so it is time to look at what the coming year will bring us. Every year, Gartner sets out the digital trends that will have the most impact. For example, for the past year, they have trends such as hyperautomation, anywhere operation, serverless computing named. This year, they have highlighted no less than 13 developments that will have a significant impact on our strategic use of IT in the coming year.

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    Three pillars

    The 2022 IT strategy will rely on three pillars, according to Gartner: Engineering Trust, Sculpting Change and Accelerating Growth. 

    Engineering trust

    The engineering trust theme focuses on building a reliable and secure digital foundation. Greater reliance on IT means that more and more work can be done digitally. These trends contribute to that:

    • Data Fabric

      Data Fabric integrates data spread across platforms and users. The right data is therefore available to anyone, anywhere, anytime. The data are 'woven' into the digital ecosystem, so to speak. 

    • Cybersecurity Mesh

      Cybersecurity Mesh refers to all the security measures together into a coherent whole. Now, this is often fragmented and spread across cloud services and data centres. An aggregated approach makes security scalable and interoperable.

    • Privacy Enhancing Computation

      The real value of data lies in its use. Privacy Enhancing Computation (PEC) ensures that sensitive data can be used and shared across platforms without risk. PEC includes encrypting, splitting and pre-processing data for secure use.

    • Cloud Native Platforms

      The advantages of the cloud computing is already clear by now. More and more apps are being set up entirely in the cloud. This ensures maximum flexibility and scalability. 

    Sculpting Change

    Sculpting Change is mainly about making digital transformation scalable. IT cannot handle the pace of change if the organisation does not change with it. IT and Business go hand in hand in the following trends

    • Composable Applications

      Composable Applications is an approach to accelerate application development. This is done by creating packages of functionalities for a specific business unit, or Package Business Capabilities (PBC). Thus, creating a functional design just a matter of merging PBCs.

    • Decision Intelligenge

      A rapidly changing world demands more, better and faster decision-making. By integrating data, analytics and AI in the process, we create structures and platforms that support, improve and even automate decisions. 

    • Hyperautomation

      Hyperautomation is a trend that endures. It was already mentioned last year that organisations are striving for saturated automation for optimal operations. As this is a long-term process, this trend will persist into 2022. 

    • AI Engineering

      Many organisations are already using Artificial Intelligence, Yet mere adoption of A.I. is not enough to maintain a strong position. For that, A.I. needs to be optimised. AI Engineering is operationalising updates to the AI models through integrated data and ongoing development.

    Accelerating Growth

    Once the building blocks of the ecosystem are in place, it is time to maximise IT's potential. The following trends maximise the potential of your digital environment.

    • Distributed Enterprise

      As we increasingly work remotely and shop digitally, our approach to business is also changing. Distributed Enterprice is a completely new approach to consumers from a digital-, virtual,- and remote-first architecture.

    • Total Experience

      We know terms User Experience, Customer Experience and Employee experience. Total Experience requires more of a holistic approach that brings all these experiences together into an equal experience for all stakeholders. 

    • Autonomic Systems

      More and more operations will take place automatically and systems, both physical and digital, will gain more and more autonomy. In this, systems will increasingly. More self-learning and -directed. This allows many processes to scale with rapid digital developments.

    • Generative AI

      To Artificial Intelligence To accelerate, Generative AI will generate its own digital "synthetic data" to think ahead and accelerate its own learning. 

    You can read more about these trends in the trend report of Gartner

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