Rohit Shankarmani

Rohit Shankarmani

AI/ML/Data Product Lead A.P. Maersk
Rohit Shankarmani

Conference Workshop Day

10:30 AM Workshop: Garbage In, No Value Out: Building Data Products Customers Actually Trust and Pay For

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

Conference Day 1

9:00 AM Opening Panel Discussion: Embedding Data Product Thinking Across the Business to Drive Adoption and Better Decisions

Many organisations invest heavily in platforms and tools but struggle to realise value due to cultural resistance and misaligned incentives. This panel explores how enterprises manage the cultural shift required to support data products, AI adoption, and new ways of working, particularly across functions that have not traditionally engaged deeply with data.

 Aligning incentives and behaviours to support product thinking
 Embedding data and AI into everyday decision making
 Supporting organisation wide adoption through culture and leadership