10 tech trends to follow in 2023

Artificial intelligence, risk and sustainability are at the heart of the key technology trends highlighted by Gartner.

The market research company announced at its Gartner IT Symposium/Xpo its annual list of technology trends to follow.

This edition is marked by artificial intelligence (AI), risk management and the “resilience” of organizations in cyberspace.

Gartner provides the following 10 key directions for 2023 and beyond:

1. Digital Immune System >

For the US market analyst firm, Digital Immunity brings together insight into data-driven operations, testing, automated incident resolution, software engineering and application supply chain security. It also aims to strengthen the resilience and resilience of systems.

What does Gartner predict in this area?

By 2025, information systems departments (DSI) and other entities investing in strengthening digital immunity will be able to reduce system downtime “up to 80%”.

2. Applied observability >

Observable data includes digitized artifacts – logs, traces, API calls, wait times, file downloads and transfers… – that appear when a stakeholder makes a network of “any kind of action,” it explains by Gartner.

Applied observability therefore consists of better integrating this data to speed up decision making and gain competitive advantage.

“When strategically planned and successfully executed, applied observation is the most powerful source of data-driven decision making,” said Frances Karamouzis, vice president and analyst at Gartner.

3. TRiSM or AI-related risk management >

Risk management related to artificial intelligence remains a blind spot. Therefore, Gartner recommends that organizations with the means to do this should have capabilities that allow them to strengthen the reliability of AI models, security and data protection (AI trust, risk & security management, TRiSM ). Different departments should be involved.

Industry cloud and “superapps”

4. Industry Cloud Platforms >

These “industry” platforms combine software, platforms and infrastructure as a service (SaaS, PaaS and IaaS). This cloud-based set provides modular capabilities that help meet the specific needs of different sectors and industries.

By 2027, Gartner predicts, more than 50% of companies worldwide will use these industrial cloud platforms to support their business.

5. Platform engineering >

Practice includes designing and operating internal self-service development platforms for software delivery and lifecycle management. Gartner predicts that 80% of software engineering-focused organizations will have platform teams by 2026. 75% will offer self-service portals for developers.

6. Wireless >

5G, WIFI 5, 6, 7… No technology will take over. In contrast, Gartner predicts that 60% of businesses worldwide will use five or more wireless technologies by 2025.

7. “Superapps” >

“Most superapps are mobile, but the concept can be applied to desktop apps, like Microsoft Teams and Slack,” explains Frances Karamouzis. “The bottom line is that a superapp can combine and replace multiple apps.” A good application therefore combines an ecosystem and a platform within the same offering. It allows third parties to develop and publish their own mini-applications. By 2027, more than 50% of the world’s population will use multiple superapps every day.

Adaptive AI and maintenance

8. Adaptive AI >

Intelligent adaptive systems (AIS) continuously train their models. They use real-time feedback to dynamically change their learning and adjust their goals. IT departments have an interest in preparing for this.

9. Metaverse >

“Fully virtual” workspaces will represent 30% of the growth in investments in metaverse technologies (3D, VR, computer vision, etc.) by 2027.

A metaverse that does not depend on the terminal used or on a single supplier. A set brought about by a virtual economy where crypto-currencies and non-fungible tokens (NFT) circulate.

10. Maintenance and Compliance >

For the sake of compliance, social responsibility and environmental issues are now part of the priorities of general management.

Turnover and profit remain key performance indicators.

(photo credit © Adobe Stock)

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