Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...

Original Content

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 has incorporated predictive analytics into the workforce of Walmart. Also, glimpse what’s in store for the new PAW

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...

Wise Practitioner – Predictive Analytics Interview Series: George Savage, M.D., Proteus Digital

 In anticipation of his upcoming keynote conference presentation at Predictive Analytics World Healthcare in Boston, “Predictive Analytics: Advancing Precision and Population Medicine,” we asked George Savage, M.D., Co-Founder & Chief Medical Officer, Proteus Digital Health, a few...

From Human Screen to Machine: Predictive Analytics Helps Avoid a Major Point of Hiring Failure

 What is an employer’s most business-critical corporate process? At or near the top of this list has to be hiring employees that deliver more value to their role and company than they cost to their employer. Employees...

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