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You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
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8 years ago
Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We must analyze.  Hence, the term—what else? —“Big Data Analytics” (BDA). Yet in spite of the overwhelming need for BDA, without which Big Data is just more data, “Computer Science-IT Data Science” (CSIT DS) focuses the great majority of its effort on data storage and management. Most of its work could more properly be described as Big Data Management (BDM). BDA is

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