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Advanced analytics software News
September 26, 2017
Citizen data scientists are now equipped with tools like low-code platforms, AI and automation and are revolutionizing the world of IT. Learn what this means for you.
September 14, 2017
Breaking down data silos is rarely easy, but doing so can lead to more effective analytics that bring together data from all of a business's operational systems.
August 16, 2017
Using more GPUs when training deep learning models doesn't always deliver faster results, but new software from IBM shows it can be done.
July 31, 2017
Growing use of artificial intelligence tools by businesses was the focal point of analytics and data management trends predicted by a group of IT consultants and vendor execs.
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Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken. Continue Reading
In the natural course of human events, it's safe to say most people have endured an untold number of doctor's appointments, emergency room visits and hospital stays. Each time, patient information is recorded, stored and updated in electronic health... Continue Reading
Cloud computing trends are pushing consumer tech companies like Amazon and Google to market enterprise analytics software. This podcast examines those trends. Continue Reading
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Interest in implementing a cloud machine learning platform is up, but not every business is sold on the benefits of this emerging class of software. Continue Reading
Natural language generation tools are gradually gaining a foothold in enterprises, as businesses deploy emerging artificial intelligence software. Continue Reading
Online real estate listing site Trulia is using artificial intelligence tools in meaningful ways, overcoming what many people see as distracting hype. Continue Reading
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Businesses are still looking for ways to unleash the full benefits of data science and analytics. This podcast looks at ways some companies are finding success. Continue Reading
The SAS Enterprise Miner data mining tool helps users develop descriptive and predictive models, including components for predictive modeling and in-database scoring. Continue Reading
Deep learning techniques for data preparation include exploration of data sets and algorithms. This calls for more than a bit of art on the part of data engineers and scientists. Continue Reading
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Find out why enterprise architects are exploring new strategies that distribute analytics closer to IoT devices. Continue Reading
As the amount of patient data in hospitals continues to grow, healthcare big data analytics can help improve patient safety by providing valuable insights in near-real time. Continue Reading
Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading