Making AI Work for Business


To stay competitive, organizations are charged with moving faster, making more profit, and engaging more customers. The magic answer to all of that, everyone says, is AI. But AI technology must still bridge the gap between experimental innovation and real business value—and not enough work is being done to make AI useful and actionable.

Attend the keynote to discover new ideas on helping organizations succeed with business-first AI and learn to:

• Uncover why companies have trouble discovering business value and innovation in AI

• Explore a different approach to making AI successful within your business

• Learn ways to get started with business impact in mind


Jean-René Gauthier, Sr Principal Product Data Scientist and a member of the product team of the Oracle Cloud Infrastructure Data Science service. Previously at, Jean-René designed the platform model management features and roadmap. In addition, he managed a team of data experts in developing algorithms and analytics models to solve customers' unique business problems. He is also responsible for educating clients on these algorithms and models, ensuring that they are incorporated into the business to add maximum value. Prior to his three years at, Jean-René was a data scientist at AuriQ Systems where he focused on online marketing analytics and data engineering, often involving high-speed processing of massive data sets. He holds a PhD in astrophysics from the University of Chicago and was a Millikan fellow at the California Institute of Technology.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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