Parth Kapoor

AI is making it faster than ever to prototype bespoke analytics experiences and show customers new ways of understanding their supply chains. But a compelling front end is not yet a scalable data product. Behind every personalised view sit difficult questions around data availability, engineering capacity, governance, security and whether the insight can improve real operational decisions.

Drawing on experience developing customer-facing products at Maersk, Parth will explore how teams can harness AI-enabled prototyping without overpromising, and turn individual customer ideas into governed analytics products that can scale.

• Using AI to accelerate customer discovery and prototype bespoke analytics experiences

• Creating safe environments for experimentation without generating an unmanageable backlog

• Balancing customer customisation with reusable product foundations, governance and security

• Scaling data engineering when demand for personalised products grows faster than delivery capacity

• Building applied analytics that helps customers anticipate disruption and move goods more reliably and cost-effectively