Watsonx: The AI and Data Platform That’s Built for Business
IBM watsonx is a portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity.
Deeper Insights Start with IBM watsonx. Get Started with a CDW and IBM watsonx Pilot Today.
When you partner with CDW and IBM, you gain access to a funded multi-disciplinary team to prioritize use cases and innovate a generative AI solution, tailored to your business needs. Make the most of watsonx's core components, including a studio for new foundation models, a data store built on open data lakehouse architecture and a toolkit to accelerate AI workflows that are built with responsibility, transparency and trust.
Built for Business, Designed to Scale
Unlock more value from your data insights with IBM's most trusted, targeted platform, watsonx. When you partner with CDW and IBM, you get experts to assess your AI workflow needs and who can build out a solution to scale as your business grows. See how watsonx can redefine how your business uses data.
IBM watsonx Orchestrate
Boost productivity by streamlining the creation, deployment and management of AI assistants and agents to automate business and customer-facing operations.
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IBM watsonx Code Assistant
Enhance developer productivity and speed up time to market by integrating AI throughout the application lifecycle. Automate development tasks and simplify workflows.
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IBM watsonx.data
Handle, organize, and connect reliable data from any source, in any format to accelerate AI insights. Plus, enhance the accuracy and effectiveness of your AI applications.
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IBM watsonx.governance
Automate governance to effectively manage AI risks, ensure regulatory compliance and build responsible, transparent AI workflows.
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Deliver Full Transparency on Decision Making from Your Data
IBM's watsonx.governance offers a powerful new toolkit for your data. Often organizations see AI as a black box without transparency into its insights. But with watsonx.governance you can design AI based on principles of responsibility, transparency and trust. Make it simple to trace and document data sets and models so you can consistently explain AI's decisions.