Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Dr. Shantanu Agrawal at Centers for Medicare & Medicaid Services

 In anticipation of his upcoming conference keynote presentation, Implementing Predictive Analytics at CMS: Lessons Learned and Future Directions at Predictive Analytics World for Government, October 17-20, 2016, we asked Dr. Shantanu Agrawal, Deputy Administrator for Program Integrity and Director of the Center for Program Integrity at the Centers for Medicare & Medicaid Services (CMS), a

Infographic – Discover Predictive Analytics World for Business 2016

 Predictive Analytics World continues to grow – take a look at this new infographic entitled “Discover PAW for Business 2016” to keep up with this industry-defining conference series. (more…)

Exploring the Tool kits of Predictive Analytics Practitioners — Part 1

 Tools, tools, and more tools continue to explode in the analytics marketplace as being key enablers in facilitating the many tasks and functions of the data scientist. These tools are not only used in conducting advanced mathematical...

The Power of Data Science for Predictive Maintenance is Only Just Being Tapped

 Future of Automotive Servicing and Preventive Maintenance Several months ago there was a news item which compared how Tesla, the electric car company addressed a potential recall situation, with how a traditional car company addressed a similar situation. Tesla released...

Wise Practitioner – Predictive Analytics Interview Series: Madhusudan Raman at Verizon

 In anticipation of his upcoming conference presentation, Best Practices Enhancing Contextual Experience with Predictive Analytics, at Predictive Analytics World New York, October 23-27, 2016, we asked Madhusudan Raman, Innovation Incubator at Verizon, a few questions about his...

Need a Data Scientist? Try Building a ‘DataScienceStein’

 Organizations are finding that hiring qualified Data Scientists is a real challenge. Experienced Data Scientists are expensive and are usually employed elsewhere. This high demand, low supply economics is leading to a situation of the ‘haves’ versus...

Wise Practitioner – Predictive Analytics Interview Series: Sanjay Gupta at PNC Bank

 In anticipation of his upcoming conference co-presentation, Predictive Analytics for Stress Testing – Industry Challenges at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Sanjay Gupta, Executive Vice President and Head of...

Wise Practitioner – Predictive Analytics Interview Series: Brian Reich, Former Director at The Hive

 In anticipation of his upcoming conference presentation, The Data Set You Can No Longer Ignore: Consumer Engagement with Social Issues, at Predictive Analytics World New York, October 23-27, 2016, we asked Brian Reich, former Director at The...

AnalyticOps: A New Organizational Role So Your Company Can Monetize Analytics

 There is no doubt that data science–and predictive analytics– are the next wave of investments aimed to create significant improvements to corporate bottom lines. With the advent of new capabilities, however, generally comes a commensurate amount of...

Wise Practitioner – Predictive Analytics Interview Series: Gary Neights at Elemica

 In anticipation of his upcoming conference presentation, Predicting Behavior in Chemical Industry Supply Chains, at Predictive Analytics World New York, October 23-27, 2016, we asked Gary Neights, Senior Director at Elemica, a few questions about his work...

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