Conference Workshop Day
9:30 am - 10:30 am
Workshop: Enabling AI in the Enterprise: Building Context, Controlling Cost, and Proving Value
Juan Carlos Vázquez -
Director, Data Platform,
Delivery Hero
As organisations push to adopt AI at speed, many are realising the real challenge is not access to tools, but creating the data context that makes those tools usable, scalable, and worth the investment. Without it, AI remains fragmented, inconsistent, and difficult to measure. In this interactive workshop, Juan Carlos works with participants to break down how AI is actually enabled at an organisational level. Using real scenarios, attendees will map how context is created and layered across their data products, explore where fragmentation or overlap exists, and work through how to structure AI enablement in a way that balances flexibility, cost, and control.
Mapping how context is built across your data products to enable effective AI and agent use cases
Identifying where fragmentation, duplication, or misalignment is limiting AI adoption and scalability
Working through how to structure AI enablement while managing cost, ROI, and organisational impact
10:30 am - 11:30 am
Workshop: Garbage In, No Value Out: Building Data Products Customers Actually Trust and Pay For
Rohit Shankarmani -
AI/ML/Data Product Lead,
A.P. Maersk
As AI becomes more accessible, the real differentiator is no longer the model, but the quality, governance, and usability of the data behind it. Yet many organisations still struggle to build data products that consistently deliver value, often focusing on outputs rather than solving real customer problems.
In this hands-on workshop, Rohit Shankaramani works through how to design data products that are trusted, usable, and grounded in real demand. Participants will explore their own use cases, challenge existing assumptions around data quality and ownership, and work through how to align products more closely with customer needs and business outcomes.
Assessing your current data products to identify gaps in quality, ownership, and usability
Redefining data products around real customer problems and measurable outcomes
Applying practical approaches to embed governance, security, and accountability into data product design
11:30 am - 12:30 pm
Workshop: From Data Mesh to Data Foundation: Designing Data Products and Teams That Actually Scale
Yang Zhou -
Head of Data Engineering & Platforms,
DFDS
Many organisations have experimented with data mesh, only to find that without the right maturity, it leads to fragmented ownership, inconsistent standards, and low reuse. At the same time, the rapid growth of AI is shifting where value sits, moving focus away from downstream models towards the quality and structure of foundational data.
In this hands-on workshop, Yang Zhou works with participants to rethink how their data products are structured and where teams should focus their effort. Through guided exercises, attendees will break down their current landscape, distinguish between foundational and derived data products, and explore how this impacts ownership, platform design, and the role of data engineers as AI becomes more embedded in development workflows.
• Differentiating between foundational and derived data products to prioritise where value is created
• Reframing the role of data engineers towards business understanding, architectural thinking, and product impact
• Identifying where current structures create fragmentation, technical debt, or low reuse, and defining how to simplify and scale
