Scaling "Data & AI Products", "Data Mesh", and "GenAI": prioritization, alignment and governance for responsible value creation

Despite the high ambitions to capitalize on Data & AI, an overwhelming 92% of organizations struggle with the organizational and human complexities that hinder the realization of their full potential.

The key to success lies in embracing innovative concepts like "Data & AI Products", "Data Mesh", and GenAI — not just as buzzwords, but as fundamental building blocks for a scalable, value-driven enterprise.

We'll delve into how a "Product" mindset can revamp your strategy, the implementation of a "Data Mesh" to de-silo information, and the capture of AI and GenAI business opportunities to enhance agility and responsiveness to new demands.

Concurrently, there's a pressing need to synchronize delivery roadmaps, effectively manage interdependencies, and institute a governance model that complies with regulations like the EU AI Act and also adheres to rigorous internal standards for ethical and responsible Data & AI utilization.

In our session, we will share tangible, pragmatic approaches, methods, and frameworks designed to evaluate, monitor, and showcase the value, risks, and costs associated with your Data & AI investments. These tools are adaptable to your organization's specific maturity level, organization structure, and the particular stages of your initiatives and Data & Analytics products lifecycle.

Join us to transform your strategy and adopt a truly 'value-driven' approach, ensuring that your Data & AI investments generate responsible and sustainable returns.