Build AI Agents in Minutes with Comprehensive Enterprise Capabilities
At its annual THINK event, IBM announced powerful new hybrid technologies aimed at revolutionizing enterprise AI. These innovations enable businesses to build and deploy AI agents quickly and at scale, leveraging their own enterprise data to break down silos and drive ROI.
Meeting the Demands of a Fragmented Digital Landscape
With over a billion apps expected by 2028, seamless integration and orchestration across hybrid environments are more critical than ever. However, a recent IBM CEO study revealed only 25% of AI initiatives are delivering the ROI organizations expect. IBM's hybrid approach aims to overcome these challenges.
watsonx Orchestrate: A Comprehensive Agent Toolkit
IBM’s watsonx Orchestrate now provides the industry’s most complete suite of enterprise-ready AI agent capabilities:
- Rapid agent creation with tools for no-code to pro-code users
- Pre-built domain agents for HR, sales, procurement, and utility tasks
- Integration with over 80 enterprise apps including Salesforce, Adobe, SAP, Microsoft, and ServiceNow
- Advanced orchestration for managing multi-agent systems and complex workflows
- Agent observability for performance, governance, and optimization
The new Agent Catalog offers access to 150+ agents and tools from IBM’s ecosystem partners, including Box, MasterCard, Oracle, 11x, and Symplistic.ai.
Automating Hybrid Cloud Integration with webMethods
To streamline integrations, IBM introduced webMethods Hybrid Integration, a next-gen solution that automates integration across APIs, apps, partners, and data transfers.
An independent Forrester TEI study reported significant benefits for organizations using IBM integration tools:
- 176% ROI over three years
- 40% reduction in downtime
- 33% time savings on complex projects
- 67% time savings on simple projects
Unlocking Enterprise Value in Unstructured Data
Unstructured data holds immense potential for generative AI. The upgraded watsonx.data platform introduces an open data lakehouse combined with data fabric features like governance and lineage tracking. Results show up to 40% improved AI accuracy compared to traditional retrieval-augmented generation (RAG).
New additions include:
- watsonx.data integration – unified orchestration across data formats and pipelines
- watsonx.data intelligence – AI-powered insights from unstructured data
IBM is also acquiring DataStax to enhance vector search and deepen generative AI capabilities. Additionally, watsonx is now available as an API provider within Meta’s Llama Stack.
AI at Scale with IBM LinuxONE 5
IBM introduced LinuxONE 5, a new Linux platform capable of 450 billion AI inference operations per day. Key features include:
- On-chip Telum II AI processors and upcoming IBM Spyre Accelerator
- Confidential containers and quantum-safe encryption
- Up to 44% lower total cost of ownership over five years versus comparable x86 solutions
IBM has also expanded collaborations with AMD, Intel, NVIDIA, and CoreWeave for compute and data-intensive workloads.
Explore More
To read all announcements from THINK, visit the IBM Newsroom.
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