Entreprise AI, from Cost to Revenue Center

In the coming years, the ability of organizations to pivot their activities around Enterprise AI will fundamentally determine their fate. Those able to efficiently leverage ML techniques to improve business operations and processes will get ahead of the competition. Of course, the key word here is efficiently; it’s not enough for organizations to simply leverage ML techniques at any price. Eventually, in order for Enterprise AI strategy to be truly sustainable, one must consider the economics: not just gains, but cost. Common sense and economics tell us not to start from scratch every time you have a new idea, new use case to be tested/implemented. Reuse is the simple concept of avoiding too much rework in AI projects and the concept of capitalization in Enterprise AI takes reuse to another level. This session will explain how Dataiku enables every organization to benefit from AI by allowing people within the organization to scale, providing transparency and reproducibility throughout - and across - teams.