This session will provide a high-level introduction to artificial intelligence (AI) and its practical impact on the organization. It will include key definitions, major trends, organizational and governance issues, and an overview of AI techniques. How to pragmatically introduce AI techniques in the organization to solve complex business problems? What are the steps to take (and to avoid) while implementing AI techniques? What are the AI best practices of organizations that are applying AI strategically?

Faster and optimal decision making is a competitive differentiator. But silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. A more networked approach is required, bringing together technologies such as optimization, graph analytics and AI. This session will provide practical guidance to bring your decision intelligence to the next level.

Understand key trends influencing the future of ML and data science. Get an insight in emerging ML capabilities that seemed outlandish just a few years ago, but are shaping the future of AI now. Learn about new roles, ideas and paradigms you shouldn't ignore. Plan for the future AI initiatives and improve your current AI solutions.

D&A has gone full circle. We're back at decision support, discussing more data-driven decisions that are much more concrete than before. It was hard to measure the business impact of a better decision; there is no parallel universe to test another decision. In this visionary session, we will explore how new insights and innovations create a more direct and measurable link between making decisions more data-driven and concrete business outcomes.