The True Impact of AI: Assessing AI maturity, adoption, and generated value

AI is everywhere, with teams across the organization driving pilots and integrating AI into workflows. The assumption is that we are generating value, saving costs, and increasing efficiency and revenue. But how can we measure the actual value created by AI? In this insightful Powertalk, I will share our approach to assess AI maturity at BSH Home Appliances Group, including our “AI Readiness Test.” We will discuss and exchange metrics and KPIs for measuring AI adoption and AI value in organizations. Join us to explore how to measure the true impact of AI!

Moderator: Charlotte Witte, Cluster Alliance Manager of Data & Artificial Intelligence | BSH Home Appliances Group

Business-driven AI: Preparing for responsible innovation

The Powertalk starts with a short introduction speech followed by an interactive group discussion. Key outcomes will be:

• How to Align AI with business goals and objectives
• How to measure the value of AI initiatives and report this to your C-Suite
• Ensure model explainability
• Embed fairness, transparency, and compliance into your AI lifecycle
• Establishing AI Governance through people, policies, technology, and processes to maximize data asset value and reduce risk

Speaker: Gaston Hummel, EMEA Lead Strategic Data Services | Precisely 

Adding Organisational Context to Data Products for Agentic AI

Many organisations are building frameworks of interoperable data through data products, data contracts, and data marketplaces to make their data findable, accessible, interoperable, and reusable (FAIR). With the adoption of standards for data products and contracts – and their publication in data marketplaces – these assets become not only discoverable by humans, but also programmatically accessible. This creates a scalable path toward AI‑ready data and automation.

Data products provide access to high‑quality data along with essential context such as definitions, ownership, governance, and usage rules. However, this context only describes the data product itself. It does not capture the wider organisational context: how the organisation works, how decisions are made, what assumptions are baked into operations, and how value is created.

So how do we capture this institutional knowledge – our organisational memory – in a way that enriches automation and enables AI systems to act in alignment with company principles?

In this session, we will explore the key capabilities enabled by data products and invite participants to discuss (or debate!) how organisational knowledge can be modelled, shared, and applied to agentic AI systems. Attendees will work hands‑on to map data products, identify missing context layers, and design lightweight mechanisms for capturing and operationalising institutional knowledge. The session blends theory, templates, and peer coaching to help participants move from abstract data‑culture aspirations to actionable design practices.

Moderator: Noemi Moreno Fabelo, Head of Data Strategy & Architecture | Cambridge University Press & Assessment

Hands-on Workshop

Moderator: Konstantin Riegel, Principal Solutions Engineer DACH | SnapLogic

Moderator: Viola Meisterling, Digital Officer | HPSG Boehringer Ingelheim Pharma GmbH & Co. KG

Practical insights on “New Ways of Working with AI” 

Moderator: Ali Farnoud, AI & Automation Lead |  Boehringer Ingelheim & Julian Kurz, Lead Expert Generative AI | HMS Analytical Software GmbH

Moderated by tableau/salesforce

Are you a data changemaker? Data doesn’t change anything—people do.
Be the change!

Data alone does not change an organization—people do. In many companies, data-driven transformation initiatives fail not because of technology, but because of a lack of willingness to change and the ability to implement change. This is where the data changemaker comes in: they are the driving force that translates data into decisions, actions, and sustainable results. We show why successful data strategies need more than just tools and dashboards—namely, people who build bridges between departments, IT, and management, empower others, and lead the way. Learn how you can become a data changemaker yourself and join the discussion: What does it take for data to lead to better decisions in everyday life?

Moderator: Janine Ellner & Lars Tams | OPITZ CONSULTING