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Why AI Needs Good Semantics, And What to Do Abo...
September 13, 2024 That’s Just Semantics How often have you heard someone exasperatingly state, “That’s just semantics,” when claiming t...
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AI for Data Engineering: The Good, The Bad, and...
A tour de force among Western genre movies, with its unrivaled cast featuring Clint Eastwood as “the Good,” Lee Van C...
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Mind the Gap! Where Traditional Data & Analytic...
If you are among the four million people who ride London’s Tube daily, you are undoubtedly familiar with its ubiquito...
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To Succeed In 2025, Data Engineers Need to Beco...
When asked how he addresses difficult and complex challenges, Microsoft founder Bill Gates replied, “I will always ch...
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Is It Time To Rethink How We Connect Our Data A...
Connections is More than a Game I play the Connections game in the New York Times daily (and Wordle, too!). It's a f...
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How to Create Hit Data Products in an AI World
Are Your Data Products Platinum Hits or Just Background Noise I recently attended a Rolling Stones concert here in Si...
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Why Now Is the Time to Move to Data-Centric AI
Model-centric AI Helps You Get Started In The Art of War, Sun Tzu advises, “In all fighting, the direct method may be...
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Is a Data Fabric Still the Path to Frictionless...
Two and a half years ago, in mid-2021, I wrote a blog about data fabrics as a path of frictionless data access, a dat...
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Part 4: How Data Virtualization-as-a-Service Ad...
Against these forces, traditional data integration approaches, designed for simpler, less competitive times, don’t st...
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