Prabira Acharya explains that managing data storage without observability is like driving a car without a dashboard. The talk outlines the seven pillars of storage observability, the critical role of AI in analyzing vast amounts of data for anomaly detection and predictive analytics, and the evolution toward agentic AIOps for creating self-healing and self-managing storage infrastructures.
Amanda Downie explains the shift from reactive IT firefighting to proactive optimization, detailing how AI agents and LLMs use predictive analytics, topology mapping, and continuous learning loops to anticipate and prevent system issues before they occur.
Dr. Umair Shah, former Washington State Secretary of Health, and Dr. Gianrico Farrugia, CEO of Mayo Clinic, discuss the practical applications and strategic imperatives of AI in public health and clinical care. They explore how AI can shift public health from a reactive to a proactive model, the necessity for a new data-centric architecture in healthcare systems, and the transformative potential of generative AI beyond mere optimization of current workflows.