Serge Lucio, VP and GM of Agile Operations Division at Broadcom Inc., discusses the critical need for organizations to move beyond simplistic AI implementations, such as adding chatbots, and focus on building a solid data foundation. In 2026, the enterprise landscape is optimistic, but many businesses are failing to realize AI's full potential due to inadequate data strategies. Lucio identifies two imperatives: ensuring data completeness, consistency, and accuracy, and deploying intelligent AI agents capable of addressing complex business inquiries. He outlines three key operational pillars necessary for this transformation: Strategic Portfolio Management, which requires normalized and vetted data for effective decision-making; Network Observability, which necessitates the integration of diverse data forms into a unified system; and Enterprise Automation, which must evolve to prioritize data provenance and compliance. Ultimately, Lucio asserts that reliable data is the engine that drives successful AI deployment, enabling organizations to meet their goals and transform IT teams into strategic orchestrators.