Artificial Intelligence 9 min read

Gartner 2022 Strategic Technology Trends: Generative AI, Data Fabric, Cloud‑Native Platforms and More

Gartner’s 2022 strategic technology trends highlight the rise of generative AI, data fabric, distributed enterprises, cloud‑native platforms, autonomic systems, decision intelligence, composable applications, hyperautomation, privacy‑enhancing computation, cybersecurity mesh, AI engineering and total experience as key drivers for growth and resilience in modern enterprises.

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Gartner 2022 Strategic Technology Trends: Generative AI, Data Fabric, Cloud‑Native Platforms and More

Gartner recently released its 2022 strategic technology trends, presented at the Gartner IT Symposium/Xpo in the Americas, emphasizing the need for CEOs and boards to establish direct digital connections with customers, and for CIOs to meet these business demands.

The three overarching themes are engineered trust, shaping change, and accelerating growth.

Generative Artificial Intelligence : A powerful AI technology that learns from data to create original content, applicable to software code, drug discovery, targeted marketing, but also prone to misuse such as fraud and misinformation. Gartner predicts it will generate 10% of all generated data by 2025, up from less than 1% today.

Data Fabric : A flexible, resilient data integration approach that reduces technical debt by simplifying data infrastructure, potentially cutting data management workload by 70% and speeding value realization.

Distributed Enterprise : The shift from office‑centric models to geographically dispersed workforces, requiring CIOs to enable frictionless digital experiences and reconfigure delivery models across industries.

Cloud‑Native Platform (CNP) : Leveraging core cloud capabilities to deliver scalable, elastic IT services “as a service,” accelerating value delivery and reducing costs; expected to underpin over 95% of new digital initiatives by 2025.

Autonomic Systems : Self‑managing physical or software systems that learn from their environment and adapt without external updates, poised for use in robotics, drones, manufacturing, and smart spaces.

Decision Intelligence (DI) : A discipline that designs, evaluates, and improves decision‑making processes; Gartner forecasts one‑third of large enterprises will adopt DI within two years to enhance competitive advantage.

Composable Applications : Architectural approach that enables rapid, secure, and efficient application changes, allowing organizations to deliver new functionality up to 80% faster than competitors.

Hyperautomation : Accelerates growth and resilience by automating as many processes as possible; top‑performing teams focus on quality, speed, and decision agility, supporting an average of 4.2 automation initiatives.

Privacy‑Enhancing Computation (PEC) : Technologies that protect personal and sensitive data while allowing secure sharing and analysis, expected to be used by 60% of large enterprises by 2025.

Cybersecurity Mesh : A distributed security architecture that provides integrated protection for assets regardless of location, projected to reduce the financial impact of security incidents by 90% by 2024.

AI Engineering : A comprehensive approach to operationalizing AI models, with organizations adopting best practices expected to generate three times more value from AI by 2025.

Total Experience (TX) : A business strategy combining customer, employee, user, and multi‑experience disciplines to boost confidence, satisfaction, loyalty, and revenue.

Gartner predicts that enterprises that fully leverage these trends will achieve faster revenue growth, greater resilience, and significant cost savings.

cloud nativeAIAutomationtechnology trendsdata fabricGartner
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