Tag Archive for Machine Learning

Machine Learning Is the Next Frontier of Big Data Innovation

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by Angela Guess Andrew Brust recently wrote for ZDnet, “Machine learning is the next frontier in Big Data innovation. And the cloud is the next frontier within that frontier. Almost five years ago, Google launched its Prediction API cloud-based machine learning service. This past July, Microsoft launched its Azure Machine Learning (Azure ML) service as…

Delivering Better Customer Experience with Big Data & Machine Learning

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by Angela Guess Forbes contributor Kurt Marko recently wrote, “Collecting, correlating and analyzing data from customer interactions across channels is the key to transforming the customer experience from nightmare to nirvana. The nexus of big data and machine learning in all its forms, including predictive analytics and even neural network deep learning, are the underpinnings…

SmartData Webinar: Commercial Cognitive Computing — How to choose and build your first cognitive computing application

Smart Data Webinar Series

This presentation was given in a live webinar on April 9, 2015. SmartData Webinar: Commercial Cognitive Computing — How to choose and build your first cognitive computing application from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar In the next five years, consumers and businesses will begin to demand…

SmartData Webinar Slides: Commercial Cognitive Computing — How to choose and build your first cognitive computing application

Smart Data Webinar Series

This presentation was given in a live webinar on April 9, 2015. SmartData Webinar: Commercial Cognitive Computing — How to choose and build your first cognitive computing application from DATAVERSITY To view the On Demand recording of the presentation, click HERE>> About the Webinar In the next five years, consumers and businesses will begin to…

New Machine Learning Service Introduced by Amazon Cloud

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by Angela Guess Jack Clark recently wrote for Bloomberg Business, “Websites are set to get smarter after Amazon.com Inc.’s cloud division added an artificial intelligence service that lets people add predictive and analytical capabilities to their applications. Andy Jassy, the head of the Amazon Web Services business, on Thursday announced the Amazon Machine Learning service.…

Gaining Better Business Insights with Machine Learning

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by Angela Guess Shawn Masters of Novetta Solutions recently wrote for Inside Big Data, “The amount of data corporations have to confront is so immense we have yet to settle on an environment-wide euphemism to describe it. Whether it’s big data, data lakes, data tsunamis or even the datapocalypse, the message is clear – we…

Smarter Ways to Employ Intelligent Machines with Manufacturing Assets

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by Jennifer Zaino What happens when you marry old-school manufacturing assets with new-school, data-focused thinking? You get enhanced visibility into processes that deliver greater insight into operations, opening the door to improving them. Legacy assets persist in an overwhelming number of manufacturing customer environments, says Mark Bernardo, General Manager, Global Services and Support at GE…

Machine Learning, Virtual Assistants, and the Value of Chit Chat

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by Angela Guess Writing for TechRadar, Mary Branscombe recently noted, “Machine learning is improving everything from image and speech recognition to predicting when machinery will fail. It’s what makes Cortana smart enough to crack jokes and predict sports matches, as well as tell you when to leave early for your meeting because the traffic is…

5 Big Data Companies Disrupting Their Markets

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by Angela Guess Brigg Patten recently wrote for Datanami, “Big data has made a dramatic impact on companies all over America, but running big data programs is only one side of the puzzle. After collecting the data, companies need to analyze it… With a surge in start-up companies seeing big results in figures and customers,…

Tensor Methods for Machine Learning

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by Angela Guess Ben Lorica recently wrote for the O’Reilly Radar, “Data scientists frequently find themselves dealing with high-dimensional feature spaces. As an example, text mining usually involves vocabularies comprised of 10,000+ different words. Many analytic problems involve linear algebra, particularly 2D matrix factorization techniques, for which several open source implementations are available. Anyone working…