Up to 95% of all AI deployments fail to deliver measurable ROI. Why? And what can enterprise leaders do about it? New global quantitative research from Actian shows a clear pattern: organizations lacking data products and enforceable data contracts are far more likely to fail. Based on survey data from enterprise data leaders, this session reveals what separates scalable AI from perpetual pilots and failed experiments. Attendees will leave with concrete design, governance, and operating practices they can apply immediately to their next AI initiative.

Speaker: Jean-Georges Perrin, Senior Product Manager, Actian

Jean-Georges Perrin “JGP” is a data enthusiast. As chair of the Linux Foundation’s Bitol project, Jean-Georges leads efforts to establish global standards for data, including the Open Data Contract Standard (ODCS), which fosters more reliable and efficient data ecosystems. He is the author of Implementing Data Mesh (O’Reilly), a pivotal resource for the data community, and Spark in Action, 2nd Edition (Manning), which empowers developers to harness the power of Apache Spark. He is currently a Senior Product Manager at Actian. With over 25 years of IT expertise, Jean-Georges has earned titles such as Lifetime IBM Champion, PayPal Champion, and Data Mesh MVP, reflecting his contributions to data innovation. Passionate about sharing knowledge, he has spoken at over 150 international conferences and regularly shares insights through his blog at jgp.ai. Outside his professional life, Jean-Georges enjoys exploring the scenic landscapes of Upstate New York and New England with his family, balancing his love for technology with a passion for nature and adventure.