online gambling singapore online gambling singapore online slot malaysia online slot malaysia mega888 malaysia slot gacor live casino malaysia online betting malaysia mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 Big data and AI: 7 common misunderstandings

摘要: Some false notions have emerged about how AI and big data work together, leading to potential confusion. IT leaders,...

 

 

As organizations became engulfed in big data – high-volume, high-velocity, and/or high-variety information assets – the question quickly became how to effectively derive insight and business value from it.

“Big data naturally leads to advanced analytics. When we can capture a lot of information about a business topic that you can improve, you don’t want just to scratch the surface. You want to discover the unknown, find out the root cause, predict what will happen, address issues with extreme precision,” says Jean-Michel Franco, senior director of product at Talend. “This is more than what humans can do alone, without the help of the machine.” Artificial intelligence (AI) for the enterprise has emerged as both a way to make sense of all that information and a discipline that in fact demands large data sets in order to perform.

 

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