Agentic AI, Enterprise Systems and Data Foundations That Enable Real Autonomy
Week 16 of the Data Innovation Summit XI Edition focuses on how AI is moving from assistance to action, and what data, platforms, and operating models are required to support agentic systems at scale. This week’s updates span consumer AI, retail and logistics, energy systems, enterprise platforms, and the new rules of data for autonomous AI.
New Speakers and Sessions
We are very happy to welcome Sudeep Das, Head of Machine Learning & AI at DoorDash, joining the Retail and Logistics Stage during the Industry Day and his talk on Consumer-Facing AI & Agentic Experiences. Drawing from large-scale production systems, the session explores how personalization is evolving into goal-driven, agentic experiences across search, discovery, and execution, covering trust, controllability, and evaluation of consumer AI at scale.
In the same stage, Julia Paulsen, Director of Ecommerce at Elkjøp Nordics, joins the panel on How Can AI Reshape Retail and Logistics to Deliver Smarter, Sustainable Customer Experiences and also delivering a talk on How to provide real customer value with data and achieve truly seamless customer experience?, highlighting how Elkjøp applies its data-driven principles, “what you cannot measure doesn’t exist” and “always be testing” to deliver real customer value, measurable outcomes, and practical personalization.
From the energy sector, Jimmy Renström, CIO, and Martin Brolin, AI Lead at Stockholm Exergi, present Data as a Competitive Edge in the Energy Market. The session shows how data is embedded end-to-end across operations, production, and strategic decision-making, and how AI is applied pragmatically to drive resilience, efficiency, and sustainability.
On the engineering side, a familiar face makes his comeback, Olof Granberg, AI Strategist at DataMentor, with his session on How to Build a Data Pipeline for RAG – Practical Considerations, focusing on real-world challenges around data quality, retrieval, chunking strategies, and designing RAG architectures built for long-term reliability.
We are also proud to welcome Ramon Chen, CPO at Acceldata, as the opening Stage Session of the Modern Data Platform and Architecture Stage, and his session on Orchestrating Modern Data Platforms for Trusted AI-Ready Data across Hybrid Environments, exploring workload mobility, hybrid and fabric architectures, and unified governance for large-scale AI workloads. On the other hand, in the ML, Agents and GenAI stage, Teemu Jokinen, AI Expert at SAP Finland, shares From Machine Learning to Autonomous Agents, detailing SAP’s journey toward agent-based automation, open agent ecosystems, and enterprise-grade governance across SAP and non-SAP systems. Rounding out the week, Erik Horsting, Principal Solutions Consultant at Reltio, in the Modern Data Strategy and Governance Stage introduces Context Intelligence: Mastering the New Rules of Data for Agentic AI, outlining why unified, real-time context is the foundation for AI agents that can reason, plan, and act safely at scale.
New Stage Moderators and Partners
We welcome Patrick Eckemo, Senior Advisor at Bolagsverket, as a new Stage Moderator of the Public Sector, Healthcare and Education Stage, bringing deep public-sector expertise in AI and digital transformation. Anastasiia Glebova, Founder and CEO of Datu, also joins as Stage Moderator of the Analytics and Decision Intelligence Stage, contributing a strong operational and supply-chain-driven perspective.
New partners joining DIS26 this week include Astrato and Welkin by Elastisys.
Week 16 reinforces a core DIS26 message: agentic AI only delivers impact when data, platforms, and governance are designed for real-world complexity, not experiments.
Stay tuned. More soon!
The Data Innovation Team