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Technology Trends for 2022


Gartner has identified the top technology trends for 2022 which are expected to significantly shape the world over the next five to ten years. The trends were presented by Maxim Grigoriev, Senior Executive Partner, Gartner, during the meeting with NSD’s top managers. This paper describes the findings made by Gartner.

The top technology trends for 2022 are the following:

1. Generative Artificial Intelligence (AI)

Generative AI models are machine learning methods that learn about content or objects from their data and use it to generate brand-new, completely original, realistic artifacts. By 2025, Gartner expects generative AI to account for 10% of all data produced.

2. Autonomic Systems

Autonomic systems can dynamically modify their own algorithms without an external software update, enabling them to rapidly adapt to new conditions in the field, much like humans can. Autonomic systems are expected to become common in physical systems such as robots, drones and manufacturing machines.

3. Total Experience (TX)

TX is a business strategy that combines the disciplines of customer experience, employee experience, and user experience. Such an approach can drive greater customer and employee loyalty and improve financial metrics.

4. Distributed Enterprise

Gartner expects that by 2023, 75% of organizations that exploit distributed enterprise benefits will realize revenue growth 25% faster than competitors.

5. AI Engineering

AI engineering is an integrated approach for operationalizing AI models. By 2025, the enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the enterprises that do not.

6. Hyperautomation

Hyperautomation enables business resilience. Gartner research shows that the top-performing hyperautomation teams focus on three key priorities: improving the quality of work, speeding up business processes, and enhancing the agility of decision-making.

7. Decision Intelligence

Decision intelligence is a practical discipline used to improve decision making by explicitly understanding and engineering how decisions are made, and outcomes evaluated, managed and improved by feedback. In the next two years, a third of large organizations will be using decision intelligence to improve competitive advantage.

8. Composable Applications

In the continuously changing business context, demand for business adaptability directs organizations toward technology architecture that supports fast, safe and efficient application change. Composable application architecture empowers such adaptability, and those companies that have adopted a composable approach will outpace competition by 80% in the speed of new feature implementation.

9. Cloud-Native Platforms

Cloud-native platforms are needed to deliver digital capabilities anywhere and everywhere. Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025.

10. Privacy-Enhancing Computation (PEC)

PEC techniques — which protect personal and sensitive information at a data, software or hardware level — securely share, pool and analyze data without compromising confidentiality or privacy. Gartner expects 60% of large organizations to use one or more privacy-enhancing computation techniques by 2025.

11. Cybersecurity Mesh

Cybersecurity mesh is a flexible, composable architecture that integrates widely distributed and disparate security services. It helps provide an integrated security structure and posture to secure all assets, regardless of location. By 2024, organizations adopting a cybersecurity mesh architecture will reduce the financial impact of individual security incidents by an average of 90%.

12. Data Fabric

Data fabrics — a flexible, resilient integration of data across platforms and business users — have become in demand across the globe. A data fabric’s real value is its ability to dynamically improve data usage with its inbuilt analytics, cutting data management efforts by up to 70% and accelerating time to value.

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