How AI Observability Ensures Success at Scale; Insights from Venky Veeraraghavan, CPO at DataRobot

Ensuring the success of AI implementations involves more than just deploying models; it requires continuous monitoring and management of these models to detect and prevent unexpected behaviors. AI observability is a critical component in this process, allowing organizations to gain insights into how their AI systems operate in real-time. By identifying and addressing issues proactively, AI observability helps maintain the reliability and trustworthiness of AI applications at scale. This week, we have Venky Veeraraghavan, Chief Product Officer at DataRobot who leads the Product Team and is instrumental in shaping and implementing their AI platform. With more than twenty-five years of experience in product leadership, including positions at Microsoft and Trilogy, Venky has dedicated over