Explore the critical role of data in establishing trustworthy and reliable AI. Drawing from leading research by IBM, Gartner, and others, this session highlights essential components for successful AI strategies, emphasizing how data quality, governance, and security are frequently overlooked when reviewing AI benchmarks. We examine common challenges organizations face in managing data effectively and share a real-world case study illustrating how a streamlined, automated data approach can transform an organization’s AI initiatives. By putting data first, companies can unlock AI’s full potential and build trust in the results it delivers.
This digital version is a re-recording of the live session to share with online attendees post-conference.