IBM Unveils New Hybrid AI Technologies to Transform Enterprise AI Deployments
At its annual THINK event, IBM introduced new hybrid technologies aimed at eliminating the challenges that businesses face in scaling AI. These innovations are designed to help companies build and deploy AI agents using their own enterprise data, making AI more accessible and practical for a wider range of industries.
Increasing Pressure to Scale AI
As AI adoption accelerates, IBM notes that businesses are under increasing pressure to scale across fragmented environments. The company estimates that over one billion apps will emerge by 2028, adding to the complexity of the AI ecosystem.
According to a recent IBM CEO study, AI investments are expected to more thaHn double in the next two years, with businesses accelerating the adoption of AI agents. However, only 25% of AI initiatives have yielded the expected return on investment, often due to disconnected technology systems.
Empowering Businesses with watsonx Orchestrate
IBM's watsonx Orchestrate streamlines enterprise AI adoption with tools to build custom agents in under five minutes, supports pre-built agents for HR, sales, and procurement, and integrates with 80+ major business apps like Salesforce and SAP. It enables seamless coordination across workflows and includes observability features for performance, optimization, and governance.
IBM also launched web Methods Hybrid Integration, a solution that automates integrations across hybrid cloud environments. The new system replaces rigid workflows with intelligent, agent-driven automation to manage sprawl across apps, APIs, and events.
According to a Forrester Consulting study, organizations adopting webMethods saw a 176% ROI over three years, with significant reductions in downtime and time savings on complex projects. This technology aims to support businesses in managing their hybrid cloud infrastructures while enhancing security and operations.
Unlocking Unstructured Data for AI
IBM is also improving how businesses access and utilize unstructured data through its watsonx.data platform. With new capabilities for data lineage tracking, governance, and activation, businesses can now use unstructured data from sources like contracts and spreadsheets to enhance their AI models. IBM’s acquisition of DataStax will further bolster its ability to integrate unstructured data into generative AI workflows.
Also read: IBM’s New z17 Mainframe Set to Boost Sales Cycle With AI-Powered Capabilities
Introducing IBM LinuxONE 5 for Secure, High-Performance AI
To further support AI scalability, IBM introduced the IBM LinuxONE 5, its most advanced platform for running data, applications, and trusted AI. It has advanced AI accelerators, such as the Telum II and the Spyre Accelerator, that are used to increase AI performance and lower costs and power consumption. The platform can handle up to 450 billion AI inference operations per day, with it being suitable for massive-scale deployments of AI.
IBM continues to grow its partnerships with leading technology vendors such as AMD, Intel, NVIDIA, and CoreWeave to provide new solutions for compute-intensive applications and AI-enhanced data, helping businesses to have the capabilities needed to grow their AI capabilities cost-effectively.
