From Data Powerhouses to Enterprise AI Impact
Week 22 of the Data Innovation Summit XI Edition brings forward a different perspective on scale, less about infrastructure alone, and more about how organizations evolve, operationalize, and extract real value from data and AI. The spotlight shifts toward transformation journeys, semantic foundations, and enterprise-wide adoption, highlighting what it takes to turn data into a core business capability rather than a supporting function.
New Speakers and Sessions
A standout addition this week is “From Hitman to Bond: Turning IOI into an Analytics Powerhouse”, presented by Rasmus Smedegaard (Head of Operations) and Héctor Pérez Martínez (Head of BI) at IO Interactive. As the company expands from a single-franchise studio into a global organization managing multiple large-scale productions, this session explores how data becomes essential in navigating complexity and enabling growth.
Another important addition to the program is Yasmeen Ahmad, Managing Director of Data at Google Cloud, joining as a keynote speaker in the Data Café stage. With a background spanning life sciences research and large-scale AI innovation, Yasmeen brings a unique perspective on how organizations rethink their data and analytics strategies to drive transformation. Her session will be announced soon.
Strengthening the AI leadership perspective, Max Tschochohei, Director of Customer Engineering for the AI Practice at Google Cloud, joins the lineup. Working closely with enterprise customers across EMEA, Max focuses on turning AI ambition into execution, with expertise across AI infrastructure, operating models, and mission-critical deployments. His session details will follow shortly.
On the architecture side, “The Perfect Data Product: How Alliander Built an Enterprise Context Layer with Atlan” dives into one of the most pressing challenges in AI today—context. Ruud van Beusekom and Patrick Beitsma from Alliander share how their organization built over 400 data products and enabled faster data discovery by embedding metadata, relationships, and semantics directly into their ecosystem.
The evolution of analytics interfaces is addressed in “Text2SQL: From Academic Benchmarks to Self-Service Analytics” by Rauf Kurbanov, ML Team Lead at JetBrains. Moving beyond lab performance, the session explores how Text-to-SQL systems mature in real-world environments, emphasizing semantic layers, feedback loops, and guardrails that make self-service analytics trustworthy for business users.
Enterprise-wide AI adoption takes center stage in “Scaling Generative AI Across Functions from Early Adopters to Enterprise Impact” by Tommie Hallin, Chief Architect Data Services at IBM Consulting EMEA. The session focuses on how organizations can deliver business context and semantics to AI agents, ensuring that autonomous workflows operate with the right understanding to create measurable value.
Addressing one of the fastest-growing areas in enterprise AI, “The Sovereign AI Rush: Launch High-Margin ‘Chat-with-Your-Data’ Services in Days” by Ole Petter Johnsen of Cloudian explores how organizations can deploy secure, on-premises generative AI services. The session highlights how sovereign AI infrastructure enables compliance, reduces complexity, and accelerates time-to-value without requiring in-house model development.
In addition to the speaker lineup, the summit also welcomes Louise Vanerell, Transformation & AI Adoption Expert at Recursive Future, as a new moderator. With a strong focus on people-centered transformation, Louise brings a practical perspective on how organizations navigate change, align teams, and make AI adoption sustainable.
New Partners
Week 22 also expands the summit ecosystem with the addition of Percona, Reaktor, Immuta, PingCAP and DataMasters as partners, alongside Lerøy Seafood Group joining as a supporting partner. Their participation further strengthens the dialogue around modern data infrastructure, governance, and enterprise AI adoption.
Across this week’s updates, a clear pattern emerges: success with AI is no longer defined by isolated innovation, but by how well organizations integrate data, context, and systems into their core operations. From building analytics-driven companies to enabling autonomous workflows and sovereign AI services, the focus is on creating durable capabilities that scale with the business.
More updates are on the way next week
The Data Innovation Team