IBM Solutions
Meet the AI and Data Platform That’s Built for Business
Watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.
Deeper Insights Start with IBM watsonx. Get Started with a Storcom and IBM watsonx Pilot Today.
When you partner with Storcom 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 Storcom 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.
watsonx.data
AI starts with how your data is stored and governed in order to be trusted and scalable. Watsonx.data, built on a data lakehouse architecture, can significantly reduce the cost of your data warehouse by up to 50%, while simplifying access.
watsonx.ai
With watsonx.ai, you can train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.
watsonx.governance
Watsonx.governance is designed to automate and accelerate workloads across the AI lifecycle while providing risk management and facilitating regulatory compliance.
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.
