This discussion examines IBM’s artificial intelligence operating model and addresses data sovereignty, identity and continuous governance for hybrid environments. It explores hybrid AI architectures, containerization, agentic workloads and machine identity and highlights practitioner-driven case studies that inform operational strategies.
Bruno Aziza, group vice president of software, data, AI, automation and security at IBM, discusses orchestration across data, technology, operations and regulation and the role of events such as TechXchange in sharing customer-driven lessons. Aziza emphasizes a shift from periodic to continuous governance, hybrid right-time data strategies, containerized workloads for consistent deployment and stronger identity frameworks for non-human agents. Aziza notes that operationalizing AI and practitioner peer sharing are essential to manage rapid model change and agent scale.