EBay uses machine learning techniques to translate listings

Latest Technology News and Expert Advice A roundup of news and tips on the topics you're interested in | March 21, 2017 ISSUE HIGHLIGHTS EBay uses machine learning techniques to translate listings IT managers weigh in on biggest benefits of big data analytics Emerging analytics tools challenge dominant big data philosophy Big data users share their trying but winning analytics war stories Users tap mix of tools to mine big data analytics architecture EXPERT ADVICE EBay uses machine learning techniques to translate listings To help connect users from different countries and bridge the language barrier, eBay is using machine learning tools to automatically translate item listings.   IT managers weigh in on biggest benefits of big data analytics Experienced big data project managers and professionals detail the top business benefits that their organizations are getting from deployments of Hadoop and Spark analytics systems.   Emerging analytics tools challenge dominant big data philosophy Analytics technologies like the internet of things and cognitive computing mean we cannot have all the data on a given subject. So, what does that mean for big data?   Big data users share their trying but winning analytics war stories The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown big data analytics deployments. Still, the march toward that goal can be long and arduous, and not just from a technological and architectural standpoint. Before taking the plunge, big data users, including data scientists, managers and evangelists, are faced with the sometimes monumental task of justifying big data's return on investment to business executives focused on competition, profit margins and allocation of funds. "For a lot of organizations like ours, big data has not yet become a core foundation of running the business," said Beata Puncevic, director of analytics, data engineering and data management at Blue Cross Blue Shield of Michigan. Yet, actionable insights gained from big data analytics can be indispensable in driving revenue, reducing costs and developing new products. This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications. In the first feature, editor Craig Stedman interviews battle-tested IT and analytics warriors from Blue Cross, Macy's and Progressive Insurance who reveal the business challenges in justifying the worthiness of big data applications. In the second feature, Stedman explains how real-time big data analytics is helping companies like Comcast and eBay to move quickly on massive amounts of incoming information. And in the third feature, reporter Ed Burns spotlights the decisions at Neilsen and Nasdaq to run or not to run big data systems in the cloud.    Users tap mix of tools to mine big data analytics architecture Predictive modeling, machine learning and other advanced analytics applications help dig the business value out of big data systems -- but for many users, it takes a lot of tools and effort.   About This E-Newsletter This email is published by the TechTarget Security Media Group. Copyright 2017 TechTarget, Inc. All rights reserved. Designated trademarks and brands are the property of their respective owners. To unsubscribe from all Security Media Group emails, Go to unsubscribe. TechTarget Security Media Group, 275 Grove Street, Newton, MA 02466 Contact: webmaster@techtarget.com When you access content from this email, your information may be shared with the sponsors of that content as described in our Privacy Policy. About TechTarget: TechTarget publishes media for IT pros with more than 100 focused websites providing quick access to a deep store of news, advice and analysis about the technologies, products and processes crucial to your job.