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AI: Trillion-$ orphan? The paradox is stark... AI firms are valued at ~trillion-$. Yet, every business leader is working to fill the "AI-adoption" gap. What can you do for adoption of this trillion-$

7-sins of #DigitalArchitecture, to avoid in the #AI-era: What's changed in tech architecture for the AI-era ? #1: Need to cut the operational cycle times (think cashflow/ inventory / order fulfillment
Every supply chain meeting hits these two painful notes:“We need to deliver like Amazon.”“But we already spent $10M on that AI/dashboard/ Strategy.” There’s a massive disconnect between those two st
If you’re a CIO in 2026, you’ve probably been told the same thing 37 times: “Just add AI.” It's like telling horse-wagon owners to “just add engine to their cart ” in early 1900's. The gap isn’t the p
Conventional wisdom says "Speed kills". In supply chain operations, lack of it kills more.
Amazon moved the bar to 1 hour delivery — and changing the operations landscape. Not how much, but How fast.
If your inventory runs on a nightly batch, you cannot be Amazon's supplier. Even more difficult to be a competitor.
Check your process against the 4V test: → Volume: are you processing noise or signals that matter? → Variants: # of process variants is proportional to quality incidents → Velocity: how fast does information reach a decision? (now urgent) → Veracity: can you trace every decision back to a verified source? One low score blocks all four.
Speed never killed supply chains. Lack of it did. 🏁 Power your Operations with #STREAM-Intelligence
Source link: https://www.cnbc.com/2026/03/17/amazon-rolls-out-1-hour-3-hour-delivery-in-latest-fast-shipping-test.html