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Artificial intelligence and analytics 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 05, 2017
Artificial intelligence apps provide invaluable insights and assistance for a host of business processes, and today's uses are just the tip of the iceberg.
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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Machine learning tools are becoming a more common component of advanced analytics applications, especially in big data environments. But they have to be focused on real business issues. Continue Reading
Machine learning, natural language processing and cognitive computing are among the new artificial intelligence terms HR managers are confronting in vendor literature. Continue Reading
When assessing the reality behind today's AI technology, businesses need to think about how it can perform in specific tasks rather than hoping for a do-it-all tool. Continue Reading
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Organizations with massive volumes of IT operational data need log management tools that can quickly and adeptly process it. AI embedded into tools might be the answer. Continue Reading
Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
While cognitive computing tools have come far in utility, they still have some important gaps. Understanding these hitches may be key to getting value from the platforms. Continue Reading
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More data almost always makes deep learning projects more effective. One data science manager says there's essentially no limit to the amount of data he wants to have access to for his team's projects. Continue Reading
A lack of transparency into how deep learning models work is keeping some businesses from embracing them fully, but there are ways around the interpretability problem. Continue Reading
Experienced users of machine learning tools share how their organizations are using the technology to solve a variety of analytics problems in their businesses and for customers. Continue Reading
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For AI applications, the future is now. But implementing artificial intelligence in an enterprise data center presents obstacles for network, storage and compute infrastructures. Continue Reading