Recent disruptions have confirmed that modern supply chains must be built on a more resilient foundation. Not just to help manage risk, but to be better positioned to deal with and even gain advantage from disruptions. Along these lines, the notion of agility is also gaining ground in order to quickly adjust supply chain tactics. The question is: can our supply chains be both at the same time? Join this in-depth discussion as we explore the importance of building robust and responsive supply chains to act as a competitive advantage in 2022 and beyond. In this session, you will learn about: – How organizations need to think beyond the current paradigms of supply chain planning and decisioning – Balancing the need for cost optimization with agility and resiliency – The role of continuous supply chain design as a means to be both agile and resilient – Technology implications to support a continuous design approach Featured Panelists: Lora Cecere, Founder, Supply Chain Insights Madhav Durbha, VP of Supply Chain Strategy, Coupa Scott W Luton, Founder, CEO & Host of Supply Chain Now

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…