Q&A: How to train your data at exascale speed - SiliconANGLE

Having data and having insights are two very different things. To transform data into information that can actually help drive better decisions and scientific breakthroughs is a proactive task. So what are the steps data scientists recommend to turn that stagnant data lake into a sparkling flow of insights? "Step back from the data questions; the infrastructure questions; all of these technical questions that can seem very challenging to navigate," said Arti Garg (pictured), head of AI solutions and technologies at Hewlett Packard Enterprise. "And first ask: What problems am I trying to solve? It's really no different than any other type of decision you might make in an organization."