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CIO First Look

January 25, 2022

8 enterprise cloud strategy trends for 2022

Cloud adopters are shifting tactics to take advantage of fresh concepts and approaches. Here’s what you can expect to see this year. Read more ▶

Image: Sponsored by Nuance: Facing Staff and Supply Chain Shortages and Rising Prices, Enterprises Embrace AI

Sponsored by Nuance: Facing Staff and Supply Chain Shortages and Rising Prices, Enterprises Embrace AI

Today’s enterprises face a number of large, global business challenges that are making it difficult to successfully do business.

The biggest enterprise technology M&A deals of the past year

This past year has seen multiple billion-dollar-plus acquisitions in hardware, software, and services, as well as plenty of smaller, strategic merger activity in areas vital to enterprise IT.

IT leaders should measure and balance fairness in AI models, Forrester says

Eliminating bias in artificial intelligence is increasingly an issue as more enterprises use it in their services.

Image: Business leaders take aim at the CIO role

Business leaders take aim at the CIO role

As the top technology spot becomes more strategic, tech-savvy business leaders are stepping into the ring, giving traditional IT up-and-comers a run for the CIO role.

3 areas where AIops excels — and 2 where it still falls short

AIops speeds IT discovery and troubleshooting, but it isn’t magic. And operations staff must still prepare the data for machine learning and manually solve some issues.

The 10 most in-demand tech jobs for 2022 — and how to hire for them

From security pros to developers to analysts, the battle for the best IT talent wages. Here’s what to look for (and what to offer) when hiring for the 10 most in-demand jobs for 2022.

How to know when AI is the right solution

Business value, training data, and cultural readiness are essential for AI success. Without all three, traditional solutions are your best bet.

What is data architecture? A framework for managing data

Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise.

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