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    IBM examines how enterprises can support agentic workloads in production, connecting existing systems, governance and human oversight to business outcomes.INFRA play_arrow

    IBM puts agentic workloads at the heart of its AI operating model

    Agentic workloads present a new operating challenge for enterprises putting artificial intelligence into production. As autonomous systems take on ongoing responsibilities, organizations must support decisions and actions across their data, applications and infrastructure. IBM Corp.’s approach draws on the experiences of clients scaling AI across their organizations. That work helped ...


      SECURITY

      AI cyber resilience and the trust gap

      Backup and recovery has evolved into data protection, security and cyber recovery. Today, the focus is on business resilience. The scope continues to expand, with growing attention to how attackers use artificial intelligence and how defenders can use it to better protect their assets. In new field research with our ...

      SECURITY

      AI cyber resilience and the trust gap

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