Increasing operational costs, labor shortages, and geopolitical tensions are keenly felt by supply chain organizations and highlight the importance of fast, informed decision-making. Join this exciting webinar to learn how a smart data fabric can be used to unify data across disparate sources and accelerate AI-driven decision intelligence. We’ll delve into real-world use cases showing how this approach can be used to leverage real-time predictive and prescriptive analytics, as well as generative AI, to optimize your supply chain operations. Register to learn about smart data fabric and how this approach can help organizations attain an agile supply chain with integrated decision intelligence. Key Takeaways: – InterSystems Smart Data Fabric for consistent unified data – Supercharged problem-solving with Data Fabrics and Generative AI – Accelerated business value to LOB with decision intelligence

In this Agentic Age, Supply chain leaders are racing to adopt AI—but isolated solutions and disconnected systems often limit real impact. The true promise of AI emerges only when we reimagine the supply chain as a fully connected enterprise, breaking down decades-old silos across planning, logistics, materials, finance, and sustainability. In this session, Manik Sharma, Head of Supply Chain GTM AI at Celonis—magic quadrant leader, recognized globally and ranked #3 on the Fortune 50 Most Promising Companies list—will unpack how a modern AI-enabled tech stack can unify fragmented data, systems, and processes through a connected semantic layer that digitizes the physical value chain. Once established, this semantic layer becomes a dynamic foundation for intelligent, data-driven operations by infusing it with enterprise context—from rules, constraints, and parameters to policies and proven models—unlocking true end-to-end enterprise intelligence. This intelligence can then be democratized across the organization to power self-serve analytics, build composable AI solutions, and orchestrate workflows, collaboration, agents, and actions at scale. We’ll explore how companies are using this approach to unlock self-serve analytics, accelerate development of composable AI applications, and orchestrate autonomous workflows and agents at scale. This is not a future vision but a proven path for organizations that…