Big data and AI: 7 common misunderstandings

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."