As organizations push AI from experimentation into production, data leaders are running into urgent challenges. Sensitive and unstructured data remains fragmented across cloud, on-prem, and hybrid environments, causing security risks. Traditional RAG approaches struggle with context and citations, leading to inconsistent results. At the same time, data teams are stretched thin managing these complex environments, manual processes, and under pressure to deliver AI-ready data - faster.

Forward-looking organizations are responding by rethinking how data is integrated, governed, and accessed for AI. This includes improving accuracy and access, breaking down silos across environments, and modernizing data pipelines to support real-time and scalable AI use cases. The focus is shifting from isolated tools to more unified, AI-native data foundations.

Join senior data leaders for a roundtable discussion with IBM to explore how to advance your AI journey and tips on how to scale productivity and accelerate access to AI-ready data.

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to effect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information