Machine Learning Times
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2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

5 Keys to Winning the Battle for Analytics Talent

 The battle for analytics talent is fierce—and for government agencies, it often feels like an uphill battle. Government agencies, just like private-sector firms, have the ability today to access data and technological tools that can yield true long-term benefits. But at the core of this is talent: finding smart, driven people who can work seamlessly

Feature Engineering Within the Predictive Analytics Process — Part Two

 In the last article, I discussed the concept of feature engineering as comprising two components with the first component being the ability to create and derive meaningful variables in the analytical file which is used as the...

Deliver Business Value with Predictive Workforce Analytics

 Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics.” But this pressure isn’t unique to Human Resources, as these same business leaders are also pressuring Sales, Customer Service, IT, Finance,...

HBO Teaches You How to Avoid Bad Science

 Do you know what p-hacking is? John Oliver – of HBO’s “Last Week Tonight” and formerly of “The Daily Show with Jon Stewart” – does. It’s a tricky, potent analytical pitfall that’s gaining increased, deserving attention –...

Jim Sterne’s Book Review of “Predictive Analytics” by Eric Siegel

 Book review originally published in the journal Applied Marketing Analytics Eric Siegel’s book, ‘Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die’ gets its subtitle from the many ways statistical prognostication has been...

Predictive Analytics World Chicago 2016 Recap

 I attended Predictive Analytics World in Chicago the week of June 20 to June 23. I met a lot of new people and was reacquainted with several other colleagues. As I listened to 2 days of workshops...

Elder Research Positioned to Grow in Booming Data Science Market

 Strategy Set to Revolutionize the Delivery of Innovative Analytic Solutions Charlottesville, VA: The explosion of Big Data has driven an insatiable demand for extracting actionable value from data. Elder Research, known for innovative analytic solutions, plans to...

Advanced Analytics Webinar: Using Uplift Modeling To Influence & Persuade

 Predictive analytics shows how a consumer will interact with content, but it has limited insight into why. Uplift modeling predicts what will influence a consumer to take the action you want. This free webinar from the Predictive...

Making Predictive Analytics a Routine Part of Patient Care

 Over the last five years, electronic health records (EHRs) have been widely implemented in the United States, and health care systems now have access to vast amounts of data. While they are beginning to apply “big data”...

The Executive’s Guide to Employee Attrition

 Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is quite similar. Businesses want to predict who, when, and why employees...

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