At its annual Think conference, IBM has announced a sweeping expansion of its enterprise AI and hybrid cloud portfolio. The updates center on a new operating model designed for the "agentic enterprise," moving beyond fragmented AI deployments toward a redesigned business structure. The new suite of tools addresses the "AI payoff gap" by integrating multi-agent orchestration, real-time data streaming, and intelligent infrastructure operations with a focus on governance and scale.
IBM evolves watsonx Orchestrate into a multi-agent control plane for governing thousands of AI agents.
IBM Concert platform launches to provide AI-powered, cross-domain visibility and intelligent response for IT operations.
IBM Sovereign Core is introduced to embed regulatory policy and governance directly into infrastructure runtimes.
Real-time data integration is enhanced through IBM Confluent, utilizing Kafka and Flink technologies.
IBM Bob and Concert Secure Coder embed security and automated remediation into developer workflows.
Strategic collaborations with NVIDIA and Nestlé demonstrate significant cost and performance improvements in data processing.
IBM’s latest strategy is built on four integrated pillars: agents, data, automation, and hybrid cloud. This approach acknowledges that running AI at scale requires the same rigor as critical infrastructure. By focusing on these four areas, IBM aims to help organizations transition from isolated AI projects to a unified system where autonomous agents execute tasks across the business while remaining auditable and governed.
"The enterprises pulling ahead are not deploying more AI – they're redesigning how their business operates," said Arvind Krishna, Chairman and CEO, IBM. "Running AI in the enterprise requires a new operating model, and IBM is enabling organizations to manage AI-driven systems with the same rigor, governance, and scale as their most critical infrastructure."
A major highlight of the conference is the introduction of IBM Concert. This platform acts as an "air traffic control" for IT operations, correlating signals across applications and networks to move teams from passive monitoring to coordinated action. Furthermore, to address the complexities of global regulations, IBM Sovereign Core provides a platform where policy is embedded at the infrastructure level. This ensures that AI workloads remain compliant even as cross-border jurisdictions and regulatory requirements evolve.
To bolster the data foundation required for these systems, IBM is leveraging its acquisition of Confluent to deliver real-time data streaming. This is paired with "Context" in watsonx.data, a federated layer that allows AI to reason reliably over business data with semantic meaning and explainability. These advancements aim to ensure that the "agentic enterprise" operates on a foundation of real-time, trusted, and governed information.
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.
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