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Friday, October 9, 2026

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Data Engineering

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.

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.

The AI Attack You Haven’t Heard Of. But Should.

Data poisoning doesn't hack your systems — it corrupts how your AI thinks. Here's what supply chain leaders need to know before it's too late.

Part 3: 2026 Tech Boom? Bubbles, Bills, and Cyber Siege Await.

Tech executives warn: AI agents rise in 2026, but bubbles burst, cyber threats surge, and costs soar. Hype vs. reality in our series on innovation's next act.

AI’s Real Bottleneck Isn’t Compute. It’s Power.

As AI data centers strain global power grids, breakthroughs in silicon photonics, chip design, and materials are redefining how AI can scale sustainably.

Why Seasonal Hiring Puts Data Security at Risk

Seasonal workers increase data security risks through rushed access, shared devices, and weak controls—just as operations hit peak demand.

Shadow IT Isn’t the Enemy. Neglect Is.

Shadow IT is growing as workers move faster than governance. Managed well, it exposes unmet needs; unmanaged, it creates security, cost, and compliance risk.

Europe’s AI Push Risks a Two-Tier Workforce

Europe bets on AI to fix its productivity slump—but unequal access to skills and data could deepen workforce divides instead of closing them.
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