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Thursday, September 17, 2026

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Tech

The New Boardroom Problem: How Do You Measure AI’s ROI?

AI is now a real cost on the income statement. Here's the framework executives need to measure whether it's actually paying off.

What Are VLA Models? How Vision, Language and Action Work

VLA models combine vision, language, and action, helping machines understand their surroundings, follow instructions, and perform tasks in changing environments.

Before You Audit Your Algorithms, Audit Your Data

AI bias isn't a technical glitch—it's a systemic risk. Here is how biased training data and proxy attributes compound enterprise liability, and how leaders can build fairer systems.

What Comes After Faster Payments? Ask Your Bank

Real-time payments and stablecoins are just the start. The real question for banks is who keeps the customer relationship as money goes digital.

Your AI Pilot Isn’t Failing. Your Data Estate Is.

Why most agentic AI pilots fail to scale: enterprises are debugging the wrong layer. A look at why data modernization — not model choice — is the real prerequisite for AI that survives contact with production.

The Hidden Cost of AI Adoption Without a Plan

Frank Palermo explains why enterprise AI initiatives fail without governance, operational readiness, and workflow integration—and how leaders can avoid costly mistakes.

The End of “Seeing Is Believing”: AI’s New Risk to Children

AI-powered impersonation is making online deception harder to detect. Here's why children face the greatest risk—and what must change to protect them.

Why Most Enterprise AI Agent Pilots Never Reach Production

Enterprise AI agents fail in production due to governance gaps, not model limits. Here's the autonomy framework and controls that make deployment work.
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