Enterprise AI

Chairpersons welcome and opening remarks.

As enterprise data strategies mature, organisations are shifting their focus from simply storing data to creating trusted, reusable data products that accelerate innovation and deliver measurable business value.

This panel explores how leading organisations are evolving beyond traditional data lakes through product-centric ownership, modern governance and scalable architectures that support analytics, AI and enterprise decision-making. Panellists will share practical lessons on what’s working today, common pitfalls to avoid and how to build data ecosystems designed for long-term agility and growth.

Organisations have moved beyond asking whether AI works to understanding where it creates measurable business impact. The greatest returns are coming from targeted use cases supported by strong data foundations, scalable platforms and clear operational ownership.

This session explores the technologies, deployment strategies and organisational approaches that are delivering tangible business outcomes today while avoiding costly experimentation with little return.

Pharmaceutical organisations are investing heavily in AI, but generating measurable business value requires more than successful pilots. Scaling AI across research, development and operations demands strong governance, trusted data and close collaboration between technical and business teams.

Drawing on Bayer’s transformation journey, this session explores how AI is accelerating product development, improving operational efficiency and creating lasting business value while overcoming the barriers that commonly prevent enterprise-wide adoption.

Scaling enterprise AI isn’t simply about adding compute. Success depends on creating secure, resilient platforms capable of supporting multiple models, business units and workloads while maintaining governance, performance and cost control.

Learn how leading organisations are building flexible AI infrastructure that supports enterprise-wide adoption today while remaining adaptable for tomorrow’s technology landscape.

Data has become one of the world’s most valuable business assets – but only when organisations know how to unlock its value responsibly.

Using Tripadvisor’s global data platform as a case study, this session explores how high-quality data is driving personalisation, business intelligence, marketplace insights and AI innovation.

Discover how organisations can monetise trusted data assets while maintaining customer trust and creating competitive advantage in the AI economy.

AI regulation is becoming a permanent feature of enterprise technology strategy. The challenge is ensuring governance supports innovation rather than becoming a barrier to progress.

This session explores practical approaches to complying with emerging regulations, including the EU AI Act, while maintaining developer productivity, accelerating delivery and building trusted AI systems.

As AI becomes embedded across every business function, organisations must rethink how teams are structured, decisions are made and digital work is delivered. Future operating models will combine people, AI assistants and autonomous agents working together across the enterprise.

This session explores how organisations should prepare for this transition, examining governance, organisational design and the capabilities needed to build an AI-enabled enterprise over the coming decade.

As AI investment continues to grow, organisations are placing greater emphasis on measurable outcomes rather than technical success alone.

Discover practical frameworks for evaluating AI initiatives, prioritising investment and demonstrating financial and operational impact across the enterprise.

Boards are increasingly expected to oversee AI investment, governance and risk despite varying levels of technical understanding.

This session provides practical guidance for improving board-level AI literacy, strengthening governance and enabling executives to make confident decisions around AI strategy, investment and responsible adoption.

As AI adoption accelerates, infrastructure, compute and operational costs are becoming major strategic considerations. Sustainable growth requires balancing innovation with disciplined investment.

This session explores how organisations are optimising AI platforms, managing infrastructure costs and creating scalable operating models that maximise long-term business value.

AI regulation continues to evolve across multiple jurisdictions, creating new governance challenges for multinational organisations.

Learn how leading enterprises are building flexible compliance frameworks capable of adapting to changing regulatory requirements while maintaining innovation and competitive advantage.

Successful AI programmes are built on alignment between business priorities, data strategy and technology platforms. Organisations that connect these disciplines are far more likely to achieve sustainable value than those treating AI as an isolated technology initiative.

This panel brings together leaders responsible for data, digital transformation and AI to discuss how modern operating models are breaking down organisational silos, balancing governance with agility and creating measurable business outcomes from enterprise AI investment.

Discussion topics
• Aligning business strategy with AI investment
• Building AI-ready data platforms
• Product-centric operating models
• Governance without slowing innovation
• Measuring long-term enterprise value