Topic: Governing AI and Data Science Projects Effectively Abstract: AI and Data Science projects present unique challenges due to their inherent uncertainty and non-deterministic outcomes. This talk explores the distinct governance paradigms and management structures needed to effectively steer these projects. We'll delve into innovative decision-making frameworks that embrace the unpredictable nature of AI and ML, equipping leaders with strategies to navigate complexity and drive successful outcomes in this dynamic field. Luv Suneja is a Data Scientist at Aramex, Dubai with 6 years of experience in deploying production ready use cases. He specializes in AI and ML solutions for logistics and supply chain, having led projects such as AI-powered chatbots, address prediction systems, and driver performance optimization. Luv holds a Master's in Electrical and Computer Engineering from Georgia Tech and is an AWS certified Developer and has an AWS speciality certificate in Machine Learning. His work has resulted in significant improvements in operational efficiency and cost savings.