Session Outline
Research shows that 80% of Data & AI investments either fail or lead to unused products. However, the main struggle is not with technology, but with organizational and human complexities. Adopting a “Product” centric approach is foundational to achieve success, but it also comes with many challenges at scale, to get a coherent and systematic approach across tens and sometimes hundreds of Data & AI products. Join us to learn pragmatic approaches, team topologies and organizational patterns to design, deliver and drive adoption of Data & AI products, along with real-life examples on how to optimize value, risks and costs. Lead with StratOps for a value-driven governance!
