CK Ong

Director, Data Product GSK

Day 1 - Tuesday 19th January 2027

9:00 AM Opening Panel Discussion: From Isolated Success to Enterprise Scale: What Separates Leading Data Product Organisations?

Many enterprises can point to successful individual data products, but far fewer have created a repeatable model for delivering value across domains. This opening discussion examines the decisions that distinguish organisations building sustainable product ecosystems from those accumulating disconnected products, platforms and pipelines.

• Defining what good looks like beyond the first successful products

• Aligning ownership, governance, funding and delivery around business outcomes

• Creating the conditions for adoption, reuse and measurable enterprise value

2:30 PM Panel Discussion: Data Contracts, Product Ownership and the End of Pipeline Chaos

As organisations scale self-service capabilities, platform-led delivery and federated ownership models, unclear expectations between producers and consumers often lead to delays, duplication, quality issues and mistrust. Data contracts are emerging as a practical mechanism for creating accountability, transparency and consistency across increasingly distributed environments. This panel explores how enterprises are combining data contracts, product ownership and platform standards to improve delivery at scale.

• Establishing clear ownership and accountability between data producers and consumers

• Leveraging data contracts to improve reliability, trust and service expectations

• Reducing delivery bottlenecks across domain-led and federated environments

• Balancing standardisation with flexibility as product portfolios grow

• Embedding contracts into day-to-day product and engineering workflows

Day 2 - Wednesday 20th January 2027

9:00 AM Opening Panel Discussion: AI, Automation and the Reality Gap

Organisations are investing heavily in AI and automation, but many initiatives remain disconnected from everyday work or struggle to demonstrate meaningful business value. As leaders move beyond experimentation, they must identify where automation genuinely improves outcomes, define the role of human judgement and establish clear governance around AI-enabled decisions.

• Separating valuable use cases from expensive experimentation

• Moving from isolated pilots to meaningful adoption across the business

• Deciding which decisions and tasks should be automated, and which require human oversight

• Establishing governance and accountability for AI-enabled outcomes

• Demonstrating value through productivity, decision quality and measurable business impact

Check out the incredible speaker line-up to see who will be joining CK.

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