Adjunct Professor of Management, Strategy & Marketing, ISEG
10:00 – 10:15
Headline sponsor keynote
10:15 – 11:00
Keynote panel discussion
Scaling AI from pilot to profit with clear KPIs
To justify significant investments and get buy-in, tech leaders are under pressure to demonstrate the ROI of AI initiatives. From qualitative to quantitative methods and the overlapping of AI with other tech, it’s becoming more complex to get clear metrics. How do we scale AI from pilot projects to enterprise-wide transformation without losing track of the bottom line?
Transforming data into actionable & accessible intelligence
This session explores the monetisation of data lifecycle from raw data collection to the delivery of real-time insights that drives tangible business value. How can we tap into modern data engineering and analytics techniques to move from a reactive, reporting-focused approach to a proactive, insight-driven culture while making data-informed decisions.
How Agentic AI is reshaping workflows and redefining the future of work
Organisations are now exploring a new operating model where Agentic AI systems act as autonomous partners, capable of executing complex workflows from end to end. Leaders must ask: Which business processes should be entrusted to autonomous agents? How do we build a new organisational structure that optimizes both human talent and AI? And who will be responsible for leading this new, AI-enabled frontier of work?
Building a unified data & AI strategy: Breaking down silos for a single source of truth
Moving from “data-rich” to “AI-ready” requires more than just new tools; it requires a unified architecture. This panel dives into the mechanics of breaking down legacy silos to build a cohesive data ecosystem. We will delve into the modern data stack and the integration of ETL, storage, and ML workflows, while also discussing strategies for ensuring data consistency across the enterprise.
15:30 – 16:00
Networking break and 1-1 meetings
16:00 – 17:30
Panel discussion
Scaling AI innovation within the EU regulatory frontier
As the EU AI Act transitions from legislative text to enforceable reality in 2026, the central challenge for leaders is no longer just understanding the law, but navigating compliance without killing speed. This session addresses the high-stakes balancing act of operationalising responsibility; moving beyond ethical frameworks towards.embedding transparency, human oversight, and bias mitigation directly into the technical lifecycle.