IBM has unveiled new hybrid technologies to accelerate enterprise AI, enabling businesses to build and deploy AI agents using their own enterprise data.
"The era of AI experimentation is over. Today's competitive advantage comes from purpose-built AI integration that drives measurable business outcomes," said Arvind Krishna, chairman and CEO, IBM.
New capabilities
IBM offers a comprehensive suite of enterprise-ready agent capabilities in watsonx Orchestrate. The portfolio includes a build-your-own-agent in under five minutes, pre-built domain agents, integrationwith 80+ leading enterprise applications, agent orchestration, and agent observability.
IBM unveils the new Agent Catalog in watsonx Orchestrate, a comprehensive resource that simplifies access to 150+ agents and pre-built tools from both IBM and its wide ecosystem of partners.
IBMhas also introduced webMethods Hybrid Integration, an intelligent and agent-driven automation solution that aims to help manage integrations across apps, APIs, B2B partners, events, gateways, and file transfers in hybrid cloud environments.
Moreover, the new watsonx.Data aims to bring together an open data lakehouse with data fabric capabilities, helping unify, govern, and activate data across silos, formats, and clouds, and claims to lead to 40% more accurate AI than conventional RAG.
IBM also introduces watsonx.data integration, a single-interface tool for orchestrating data across formats and pipelines, and AI-powered watsonx.data intelligence to extract deep insights from unstructured data.
The introduction of IBM LinuxONE 5, its most secure and performant Linux platform for data, applications, and trusted AI unveils the ability to process up to 450 billion AI inference operations daily. Its innovations include IBM's State-of-the-art AI accelerators, advanced security offerings, and significant costs and power consumption reductions.
IBM has also expanded its GPU, accelerator and storage collaborations with AMD, CoreWeave, Intel, and NVIDIAtoprovide new solutions for compute-intensive workloads and AI-enhanced data.
