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Friday, September 18, 2026

CATEGORY

Artificial Intelligence

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.

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.

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.

AI-Generated Code Needs a New Testing Model

AI-generated code is reshaping software development, making autonomous testing essential for continuous validation, governance, and enterprise reliability.

Databricks Pushes Genie From Chatbot to AI Coworker

At Data + AI Summit 2026, Databricks unveiled Genie One, new agent governance tools, real-time analytics, and moves into security and martech.
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