Session Outline
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. Concurrently, there’s a pressing need to demonstrate alignment with business strategy, 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. The key to success lies in embracing and scaling innovative concepts like ‘Data & AI Products’ not just as buzzwords, but as fundamental building blocks for a scalable, value-driven enterprise.
Key Takeaways
- How a “Product” mindset can revamp your strategy, and the capture of Data & AI business opportunities to enhance agility and responsiveness to new demands.
- 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.
- The StratOps approach transforms your strategy to adopt a truly ‘value-driven’ approach, ensuring that your Data & AI investments generate responsible and sustainable returns.
During an on-site interview at the summit, Nicolas shares his thoughts on participating in an events like this. He also elaborates on the importance of knowledge-sharing among data and AI practitioners—the individuals who are instrumental in driving real-world outcomes.