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We Keep Missing The Most Important Point About AI Adoption

Vendor pitches and metrics often overlook human acceptance and adaptation when evaluating artificial intelligence.

ByJoe McKendrick,

Senior Contributor

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The AI Doomsday Circus: Don’t “Step Right Up!”

Amid growing AI doomsday fears, Forrester cuts through the hype with a reality-based view of AI risk, safety, governance, and enterprise priorities.

ByForrester,

Contributor

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As AI Races Forward, How Can Humans Control The AI Agents?

AI experts debated control, transparency, alignment and auditing as increasingly autonomous agents raise troubling safety concerns. 

ByJohn Werner,

Contributor

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Why The Most Innovative Companies Rethink Their Growth Playbook

Lasting growth depends on recognizing when yesterday’s winning strategy has become today’s biggest limitation

ByDavid Henkin,

Contributor

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Vaibhav Vohra On Epicor’s Next Chapter Of ERP

Vaibhav Vohra takes over as Epicor CEO on October 1, 2026, as the company moves from its cloud chapter into a broader AI-driven ERP strategy.

ByRobert Kramer,

Contributor

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The Hidden Costs Of AI Data Centers, And Who Really Pays

AI data centers are powering the artificial intelligence boom, but their rapid expansion is raising concerns about electricity prices, water, health and infrastructure.

ByBernard Marr,

Contributor

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Take Humans Out Of The AI Loop And Put Them At The Helm

It's essential that humans be able to understand if something’s going wrong AI. Here's how to set up an effective agent.

ByJoe McKendrick,

Senior Contributor

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Can The Private Cloud Help Control AI Spending? HPE Thinks So

More organizations look to the private cloud provides to try and control AI spending and token costs, as HPE developers its own PCAI platform.

ByTim Keary,

Contributor

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CEO Gap Stalls AI Adoption As IBM Finds Only 25% Of Workers Use It

The CEO gap is stalling AI adoption. Executives average 1.5 hours a week with AI, and only 25% of workers use it regularly per IBM. Here are five moves to close it.

BySandy Carter,

Contributor

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Data Centers Need To Go Somewhere. AI-Powered Maps Show Where.

Demand for AI data centers presents many challenges. Most critical is a sound location strategy. Maps powered by AI can help developers better plan new data center sites.

ByGregg Katz,

Contributor