Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

Original Content

Eric Siegel Discusses Predictive Analytics and Civil Liberties on KCRW’s Radio Show

 Last week on “To the Point,” an NPR-syndicated radio show, Predictive Analytics World founder Eric Siegel discussed predictive analytics in relation to civil liberties. While being interviewed along with a WSJ journalist, a New York Times/New Yorker journalist, and a law professor, he talked about ways in which predictive analytics delivers both great benefits and

Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott, Smarter Remarketer

 In anticipation of his upcoming conference keynote and workshops at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dean Abbott, Co-Founder and Chief Data Scientist of Smarter Remarketer, a few questions about his work...

Wise Practitioner – Predictive Analytics Interview Series: Elpida Ormanidou of Walmart

 In anticipation of Predictive Analytics World for Workforce, March 31-April 1, 2015, Conference Chair Greta Roberts interviewed keynote speaker Elpida Ormanidou, Vice President, Global People Analytics at Walmart. View the Q-and-A below to see how Ms. Ormanidou...

Future of Analytics: Big Data Integration, Transforming Organizations and Processes, Providing Speed and Foresight

 With Analytics being a buzzword, most business executives have in some form thought or talked about role of Analytics in their businesses. 4i had recently conducted annual benchmarking survey, talking to Consumer Insights and Analytics executives at...

Haystacks and Needles: Anomaly Detection

 Anomalies vs Outliers Anomaly detection, or finding needles in a haystack, is an important tool in data exploration and unsupervised analytic modeling. Anomaly detection also creates a path to supervised modeling by singling out key examples that...

Auditing the Data When Deploying Predictive Analytics Solutions

 Much of the discussion in the predictive analytics discipline tends to deal with techniques and approaches that will help resolve a given business challenge or problem. In any approach or technique, though, integration of both technical(i.e. mathematics...

Leveraging Dark Data: Q&A with Melissa McCormack

 Melissa McCormack,Research Manager at predictive analytics research firm Software Advice, was recently interviewed about dark data by our Event Marketing Manager, Crystal Prag. Learn about businesses that can benefit from dark data extraction and processing, and also...

Wise Practitioner – Predictive Analytics Interview Series: Nephi Walton, M.D., Washington University/University of Utah

 In anticipation of his upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Resource Optimization: Using Predictive Analytics to Forecast Hospital Patient Volume for Hospital Resource Allocation and Staffing,” we asked Nephi Walton, M.D., MS Biomedical...

Using Predictive Modeling Algorithms for Non-Modeling Tasks

 It is obvious what predictive modeling algorithms like decision trees, neural networks, linear and logistic regression, and others are used for: building predictive models for classification and/or regression. However, they can be useful for many other tasks...

Wise Practitioner – Predictive Analytics Interview Series: Greta Roberts of Talent Analytics

 In anticipation of her upcoming keynote conference presentation at Predictive Analytics World Workforce in San Francisco, we asked Greta Roberts, CEO, Talent Analytics, and Program Chair of PAW Workforce, a few questions about her work in predictive...

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