Joanna Dabrowska

Despite its growing importance, the term “data product” still lacks a universal definition across industries which creates confusion, misalignment, and missed opportunities. This session explores how enterprises can clarify the relationship between data products and business outcomes, and why internal roles like platform architects, product managers, and data engineers are essential to building and sustaining them. Gain a more in-depth understanding of:

• Establishing the definition of ‘data product’, cross-industry.
• Building cross-functional roles to support the full lifecycle of data products.
• Connecting data products to business strategy to maximise impact and relevance.

This panel will focus on how to manage the inevitable changes in enterprise data, from growth in volume to shifts in structure and use. Attendees will gain insight from a range of perspectives regarding maintaining data consistency and reliability in the face of continuous change, including:

• Defining what being a data driven organisation actually means, beyond the buzz word.
• Using a problem-solving approach to establish what your organisation struggles with the most, why, and how to implement change.
• Building systems that support data agility while minimizing disruptions.

This interactive workshop led by Joanna Dabrowska – a Data & AI Leader, Consultant, and Speaker – is designed so that Heads of Data, product, AI and other leadership can delve into how enterprises can evolve from data-first strategies to AI-driven product thinking. Attendees will gain insight into the role of the AI product manager, how to build a vision and roadmap, and what it takes to lead in the age of AI product development. Learn how to embed AI as a core component of your data strategy by:

• Integrating AI into your data strategy from the get-go to drive product innovation.
• Defining the role and responsibilities of an AI product manager.
• Leading teams with clarity and purpose in AI product development.