Over the past decade, organizations have moved from early data science experiments to enterprise-wide AI adoption—now accelerated by the rise of generative AI. While some initiatives have delivered measurable impact, many have stalled or failed to meet expectations. This session reflects on the key lessons learned from this journey, examines how generative AI is reshaping the AI landscape, and explores practical strategies to ensure future AI projects deliver sustainable value.

Join this session, to learn more about:

• The most common success factors and pitfalls in AI and data science projects
• How generative AI is transforming technology choices in AI strategies
• Practical ways to align AI initiatives with business objectives, scale responsibly, and prepare for emerging opportunities