Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – How to Use AI Ethically from Natalia Modjeska of Omdia
 Event: Machine Learning Week 2021 Keynote: How to Use AI...
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...

Analytics

Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help

 If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.  After twenty years of doing what’s been variously called statistics, data-mining, analytics and data-science, we have probably made every mistake in the book—bad assumptions about

Big data Continues to Transform Healthcare

 Most of us probably remember when a certain big box retailer, thanks to sophisticated data collection and analytics, beat a father to the discovery of his teen daughter’s pregnancy… And those of us who do are likely...

The Big Data Odyssey

 In the world of IT, we seem to fall victim to a new technology “siren’s song” approximately every five years. The most recent of these new irresistible forces is Big Data. While our industry has been talking...

Mobile Analytics-Mining the Visit Experience of the Customer

 Mobile technology as part of the Big Data discussion is enabling data miners/data scientists to conduct analytics on information on the customer’s experience within a given location which otherwise was unavailable up until a few years ago....

5 Warning Signs that Turn Off Data Science Hiring Managers

 As a hiring manager for data analytics positions, I often complain that there are not enough qualified resumes. Most of the resumes that do get passed on to me from recruiters quickly get filed away. Those job...

5 Types of Analytics in Business: One to Go After and One to Avoid

 I have been lucky enough to work in some form of analytics for the past 15 years. In the last five especially, there has been an explosion in opportunities and applications as well as software tools. Lately,...

USPS OIG Vet: Analytics Can Make Audits Help, Not Hurt

 Big data and analytics can make an auditor’s job easier and more effective. But the auditor must be prepared to face resistance from the organizations he or she scrutinizes — and from within. “Human beings are wired...

Visualization: Panacea for Building Analytics Solutions?

 Data,data,data everywhere and what do I do with it. How do I make sense of it that is useful to the business? More importantly, how do I tell the story now that the solution is built? VISUALIZATION....

Balance the Five Analytic Dimensions

 So many data scientists select an analytic technique in hopes of achieving a magical solution, but in the end, the solution simply may not even be possible due to other limiting factors. It is important for organizations...

Developing Advanced Talent Analytics: Why It Matters to CFO

 Many companies investing in advanced talent analytics are seeing the payoff, according to High-Impact Talent Analytics: Building a World-Class HR Measurement and Analytics Function, a Bersin by Deloitte study. Based on a survey of 436 North American...

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