IBM is slated to announce a new suite of hybrid AI technologies at its annual Think conference, aimed at helping enterprises deploy generative AI agents across complex environments. The tools will allow companies to build these agents in five minutes, integrate them across over 80 applications, and scale operations on new platforms capable of 450 billion daily inference operations.

The announcement responds to growing demand as businesses face a projected surge in application development, which is over one billion apps expected by 2028. According to a recent study by IBM, leaders are doubling AI investments but struggling with disconnected systems and limited return on investment. 

“The era of AI experimentation is over,” IBM chairman and CEO Arvind Krishna said. “IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations.”

IBM’s watsonx Orchestrate platform now offers a comprehensive suite of AI agent capabilities, including pre-built domain agents for HR, sales, and procurement, alongside tools to build custom agents without code. 

The platform also integrates with major enterprise systems such as Microsoft, Salesforce, Oracle, SAP, and AWS, and provides agent orchestration, monitoring, and optimisation features.

A newly introduced Agent Catalog in watsonx Orchestrate includes over 150 agents and tools developed by IBM and partners like MasterCard and Salesforce, designed to support use cases ranging from prospect discovery to HR automation.

To address integration challenges, IBM also launched webMethods Hybrid Integration, which is designed to automate workflows across cloud and on-premise systems. For data management, IBM evolved its watsonx.data offering to activate unstructured data such as contracts and spreadsheets. Enhancements include new orchestration tools and AI-powered insight engines. Testing indicates this leads to AI agents that are up to 40% more accurate.

IBM also introduced IBM LinuxONE Emperor 5, designed to support AI at scale. The platform includes built-in AI accelerators and quantum-safe encryption technologies, and promises a 44% reduction in total cost of ownership over five years compared to equivalent x86 systems.

These releases are supported by expanded partnerships with AMD, Intel, NVIDIA, and others, reinforcing IBM’s strategy to help enterprises operationalise AI across hybrid cloud environments.

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