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...

Industry News

Analytics 2015: ‘BI is dead: Predictive is the new black’

 2015 will be the year that predictive analytics obtains significant market gains in everything from the industrial Internet to consumer devices. Here’s what Simon Arkell, CEO, Predixion Software, expects predictive analytics to look like in 2015: Predictive analytics will be a key differentiator for modern apps: Embedded predictive analytics—whether embedded in existing applications and workflows,

Banking Start-Ups Adopt New Tools for Lending

 SAN FRANCISCO — When bankers of the future decide whether to make a loan, they may look to see if potential customers use only capital letters when filling out forms, or at the amount of time they...

Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers

 We asked global research leaders in Data Science and Big Data what are the most interesting research papers/advances of 2014 and what are the key trends they see in 2015. Here are their answers. In December 2014...

10 Myths About Predictive Analytics

 Business is tough and competition can be brutal. With many economies still sluggish after the financial Armageddon that caused a mortgage meltdown and the stock market to experience the biggest losses since the Great Depression, it’s never...

Is “Corporate Talent Management” Dead? What’s Next?

 Josh Bersin will be keynoting at Predictive Analytics World for Workforce: March 31 – April 1, 2015. For more case studies in analytics to solve workforce management challenges visit PAW Workforce. The Epic Shift: Away from “Talent”...

4 Data Management Needs for Fraud Detection

 Efforts are hampered by multiple legacy applications, systems segregated by line of business, disparate SIU case-management systems, and third-party vendor systems that house critical data. A recent report by the Coalition Against Insurance Fraud suggests that insurers...

Six Business Intelligence Predictions For 2015

 Being a data-driven organization requires a combination of analysis and predictions. As we look at the last several years, big data has been the dominant force, moving from a consumer-based requirement to a must-have strategy for enterprises...

Text To HR: Rdy Or Nawt Here Comes 2015

 This article from Forbes covering predictive analytics for workforce interviews the Greta Roberts, program chair for Predictive Analytics World for Workforce, coming to San Francisco DATES — view more info. Human Resources (HR) is being rocked by...

Engineering Data Growth: The March is On

 From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in...

Solve the Engineering Data Dilemma

 Big Data has been both hailed as the currency of the Information Age and derided as overhyped. Both statements are true because data immediately loses much of its value if it cannot be properly analyzed and acted...

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