Data & Analytics

Chairpersons welcome and opening remarks.

Hear how a multinational enterprise built and scaled an internal AI-as-a-Service platform to serve business units across the organisation.

The session explores platform design, service integration, team enablement, and the benefits of centralised infrastructure for decentralised intelligence.

This panel brings together enterprise leaders to explore the harsh realities of AI deployment. What makes the difference between models that thrive in production and those that fail to gain traction?

• Lessons learned from failed deployments
• Strategies for long-term value delivery
• Cross-functional integration: tech, ops, and business alignment
• Governance and change management

Every AI use case has its own specialized model, but the real efficiency comes from a shared foundation. In this session, Occidental Petroleum’s Chief of AI presents a practical approach through a real-world case study, showing how a unified enterprise platform can scale AI across the petrochemical business.
-Learning how a shared AI infrastructure supports diverse use cases
-Discovering practical strategies for streamlining data processing, deployment, and monitoring
-Lessons from a real-world enterprise AI case study that reduced costs and accelerated delivery”

A leading global retailer shares how they used AI to drive measurable value in customer engagement and operations. Learn how they approached dynamic pricing, inventory optimisation, and personalisation at massive scale.

Should you build your AI capabilities in-house or buy from a vendor? This panel dives deep into the decision-making process across various sectors.

• Off-the-shelf platforms vs in-house custom solutions
• Vendor lock-in, IP ownership, and long-term costs
• Perspectives from banking, healthcare, and telecom leaders

This session walks through how one financial institution modernised its forecasting, scenario planning, and risk modelling using AI. From legacy spreadsheets to scalable ML pipelines—learn what worked and what needed to change culturally and technically.

Why are some AI initiatives repeatable while others stall? This closing session explores the organisational enablers of AI at scale, including cross-functional alignment, agile data governance, and internal education strategies. Walk away with a framework for embedding AI maturity across the enterprise.