8:20 Delegate Registration & Coffee

8.55 Welcome by Summit Chair

• How Generative AI is transforming traditional BI, analytics and data science workflows – from static reporting to dynamic,
AI-powered intelligence
• The shift from insight generation to autonomous decisioning – what this means for enterprise data strategies
• Re-designing data platforms for AI-native analytics – semantic layers, metadata, governance and real-time intelligence
• Where real value is emerging today – separating experimentation from scalable, production-ready impac

• How natural language, copilots and AI agents are transforming how organisations access and act on data
• The evolution of dash boards and the impact on data management
• Implications for data management and governance – ensuring data quality, context, security and trust in AI-driven interactions
• Designing AI-ready data ecosystems – adapting semantic layers, metadata and data platforms to support dialogue-based analytics
and real-time insights

This interactive Panel discussion explores what’s actually delivering ROI today across analytics, forecasting, modelling, and
decision intelligence.
• Cutting through the hype – identifying where Gen AI is delivering measurable ROI across analytics, forecasting and decision
intelligence today
• From pilots to production – lessons from tech leaders on what scaled, what stalled and why
• Evaluating cost vs value – model selection, infrastructure spend, and the true economics of enterprise Gen AI adoption
• Defining success metrics for Gen AI initiatives – aligning business outcomes, productivity gains and strategic impact beyond
experimentation

10.50 Refreshments and networking

• Exploring how GEN AI is redefining analysts, data scientists and business intelligence functions
• Preparing your teams for the incoming radical shift
• How generative AI is transforming traditional insights roles and creating new hybrid skill sets
• Strategies for reskilling and upskilling teams to thrive alongside AI-driven analytics
• Redesigning organisational structures to leverage AI while maintaining strategic human oversight

This frank and focused discussion how the role and mind set of tech leaders is rapidly shifting and how to survive an overwhelming new realm of tech possibilities

• How the CIO role is evolving from technology custodian to AI-driven business strategist in an era of uncertainty
• Practical lessons in navigating rapid AI adoption, risk, and organisational change without a clear roadmap
• Building resilience, governance, and decision confidence amid accelerating AI innovation and shifting expectations

12.30 Lunch and network

• A lively interactive discussion assessing bias, explainability, compliance, auditability and evolving regulatory expectations.
• How trust is evolving and will continue to have new meaning
• Navigating AI bias, explainability, and accountability to build stakeholder trust
• Ensuring compliance, auditability, and ethical oversight in AI-driven decision-making
• Exploring how evolving regulations and societal expectations are reshaping responsible AI governance

• How to navigate the pitfalls of Gen AI fuelled insights
• Managing AI hallucinations and the epic fails
• Fast learnings on autonomous intelligence: experience sharing

• Moving from Ai-assisted workflows to AI led workflows to AI driven decision systems
• The time line around the shift to autonomous decision making
• The critical decisions in heading towards deep autonomy

15.10 Break and networking

A fast paced interactive discussion on key lessons across data tools that have emerged in the last six months.
Exploring real world case studies, what failed, what scaled and what surprised tech leaders

• Assessing internal support for AI driven decision making
• Where’s the inspiration and innovation emerging from
• How to confront progress bottle necks

5:00 Conference Day 1 Wrap Up

18:00- 19:00 - 1 HOUR NETWORKING DRINKS