Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...

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Infographic: The future of Clinical & Business Intelligence in Healthcare

 The primary goal of an organization’s clinical & business intelligence strategy is to improve outcomes while adapting to new care models. Data alone is like crude oil – the value is tied to its potential. In the era of Big Data our healthcare organizations have learned that gathering data for the sake of gathering data

It’s Data Science, not Rocket Science

 Data scientists and chief data officers are the hot hire these days, and government agencies at all levels are working to get more out of their rapidly growing troves of data.   Determining how to approach all that...

Will Big Data Determine Our Next President?

 As the 2016 U.S. presidential election nears, it’s becoming increasingly clear that the profound effects of data on marketing to consumers are hardly limited to business and industry. Ever since President Obama’s data-driven re-election campaign swept him...

Can Predictive Analytics Help Your Small Business?

 No longer relegated to the realm of big business, predictive analytics is taking its place in the toolboxes of many smaller companies. The power to crunch numbers and inform strategic decisions can be an important asset, especially...

Don’t Throw your Data Away – it Might be Worth Something!

 There might well be some value in the data that is often discarded, so why not keep it? Tools like Hadoop enable businesses to access and generate value from all of their data, so it would be...

Predictive analytics techniques aid hospitals that treat data properly

 Hospitals are under pressure to cut costs and to restore patients to good health without readmissions. Predictive analytics can help, but providers need a solid plan for using their data. In 2014, Cleveland Clinic wanted to get...

Predictive Analytics: A Magic Bullet for Field Service Hiring Managers?

 Talent management is one of the biggest challenges field service leaders face. Hiring and retaining the right employees, managing an aging workforce and training workers on emerging technologies are big tasks for any manager. But with predictive...

Predictive Analytics for Hiring

 Wells Fargo uses predictive analytics to hire employees better able to meet its performance requirements and fit into its corporate culture. “Since its initial launch three years ago, the predictive analytics driven talent assessment solution has been...

Reducing the Costs of Employee Churn with Predictive Analytics

 How Talent Analytics™ helped a large financial services firm save more than $4 million a year “Employee churn can be massively expensive, and incremental improvements will give big results.” — Greta Roberts, co-founder and CEO of Talent...

5 Tools and Techniques for Text Analytics

 Data mining expert lays out some useful tools and techniques from sentiment analysis to topic modeling and natural language processing There’s a proliferation of unstructured data on the Internet and coming into customer call centres. But manually...

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