Machine Learning Times
EXCLUSIVE HIGHLIGHTS
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...

Archive for September, 2014

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 discover how businesses can continually merge dark data and traditional sources of light data. What ways can businesses

13 Insanely Useful Predictive Analytics Resources

 Predictive analytics holds a lot of promise for the modern sales and marketing organization. Smart companies are investing in the power of Big Data to pinpoint the most profitable prospects. But it also raises tricky questions and...

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...

The rise of pred med: How to keep predictive medicine ethical – and useful

 Big Data is moving into America’s hospitals, whether we like it or not. Electronic health records are combining with clinical analytics that can synthesize huge amounts of data. Soon doctors will rely on predictive analytics to more...

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...

Stop Searching for That Elusive Data Scientist

  Based purely on the data, a really good data scientist will probably tell you the odds are poor that you’ll be able to find and hire really good data scientists. Surveys say there simply aren’t enough people with...

How artificial intelligence is the key to unlocking big data

 Big data and how best to utilise it has become a perennial subject, and the endless debates around it rarely come to a satisfactory conclusion. However, it is technology that will unlock the benefits, and narrow AI...

Oldie but Goodie: The Time for Talent Analytics in Recruitment is NOW

 For more case studies in HR analytics, see Predictive Analytics World for Workforce, March 31-April 1, 2015 in San Francisco. We have written over 500 blog posts on the SmashFly blog and many remain as relevant today...

Analytics will target obvious health law fraudsters, tax official says

 Dean Silverman keynoted at Predictive Analytics World for government, September 15-18, to see more on the conference click here. Dean Silverman, head of the Internal Revenue Service’s Office of Compliance Analytics, leads the charge to transform taxpayer...

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