Data science News
May 18, 2017
Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to model design and output.
April 19, 2017
To get the most value from investments in advanced analytics techniques, like artificial intelligence and data science, businesses must embrace a specific mindset.
April 04, 2017
Teradata CTO Stephen Brobst spoke at the firm's day #2 keynote to add more colour to the data and services firm's stance on how we should be working with analytics and all aspects of the data ...
March 15, 2017
Simply hiring a data scientist doesn't mean you'll get the full benefits of data science. Several enterprises describe how they made the practice pay off for them.
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Currently ranking as top job in the U.S., the data scientist role is in high demand. Here's what you need to know to succeed. Continue Reading
Data scientists aren't born -- they're made. IT pros from a wide range of backgrounds are working to gain the data science skills for which companies are looking. Continue Reading
Data mining may not be on the tip of people's tongues in these data science days, but advanced analytics applications won't get far without effective techniques for mining data. Continue Reading
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The role of a data scientist is often seen as one of today's most glamorous and exciting jobs, but behind the glitz and acclaim are a lot of toil and hard work. Continue Reading
Artificial intelligence is a grossly misunderstood technology, thanks to the sinister characters portrayed in science-fiction books and films as menacing robots and self-possessed toaster ovens. More recently, AI in its various forms -- machine learning, cognitive computing, natural language processing -- takes on a more practical tone.
The cover story of April's Business Information on artificial intelligence apps explores how AI, ironically, makes human resources more human. AI embedded in talent management software allows HR departments to recruit, educate and retain their workers more effectively and efficiently. One program goes so far as to aid recruiters in rewriting job descriptions so they contain less gender-specific words and attract a larger pool of talent.
In another article, we look at how those friendlier bot descendants known as chatbots are dramatically changing the way companies conduct sales and customer service. We also examine the inherent moral and ethical issues that can arise when humans unknowingly interact with nonhumans. Although some parts of the consumer industry are adept at using artificial intelligence apps practically and profitably, most businesses are slow to accept and implement AI. In another feature, we explore the many options available to businesses in their never-ending quest to mine valuable customer insights from big data and better understand how people think before they act.
Also in this issue, we feature Watson, Einstein, Rachel, Gil, Alexa, Captcha tests and a college baseball star turned data science CEO, all within the ever-broadening shadows of artificial intelligence and analytics.Continue Reading
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Everyone wants faster software development, but how to get there? Here's how Soasta evangelists are selling the world on data science one customer at a time. Continue Reading
Most companies have data monetization opportunities they could exploit, experts say. But a clear strategy and long-term plan are crucial to getting the desired benefits. Continue Reading
In this episode of the Talking Data podcast, find out how data science teams at Cisco and LinkedIn navigate the process of doing advanced analytics work in an accessible way. Continue Reading