Collecting and storing huge volumes of business data is easy. Finding new sources of competitive advantage in that data is a decidedly harder task. Legacy databases built for serial computing and data lakes just can’t keep up. Leader organizations are now using GPU parallel processing technology to infuse artificial intelligence (AI) into their business intelligence (BI) applications, accelerating the rate and increasing the depth of analysis. This strategy is quickly defining the next generation of business analytics. This white paper defines the key requirements for an insight engine that can support artificial intelligence, and the ways businesses can optimize analytics with AI in order to gain a competitive advantage.