IBM watsonx™ AI and data platform includes three core components and a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.
The core components include: a studio for new foundation models, generative AI and machine learning; a fit-for-purpose data store built on an open data lakehouse architecture; and a toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.
Why watsonx?
Accelerate responsible, transparent and explainable AI workflows for both generative AI and machine learning models
Foundation models make it possible to fine tune AI to an enterprise’s unique data and domain knowledge with a specificity that was previously impossible.
Make use of all your data, wherever it resides. Tap into a hybrid cloud architecture that provides the data foundation for extending AI deep into your business.
Improve data access, apply governance, cut costs, and get quality models into production faster.
The watsonx platform comprises three components, allowing you to customize your AI solution. Choose one or more components that align with your specific business use case and requirements.
AI assistants are pre-built applications powered by watsonx. Deploy them right out-the-box to do work without expert knowledge across a variety of business processes and applications, including automating customer service, generating code, and automating key workflows in departments such as HR.
“We recognize the importance of watsonx.data and the development of the open-source components that it’s built upon. We look forward to partnering with IBM to optimize the watsonx.data stack, achieving breakthrough performance through our joint technological contributions to the Presto open source community.”
– Das Kamhout, VP and Senior Principal Engineer, Cloud and Enterprise Software Group at Intel
“Having watsonx.ai to ease the organizational and contractual concerns and accelerators like NeuralSeek to speed implementation and maintenance time allow us to slash delivery time from 3–4 months down to 3–4 weeks for many customer care use cases.”
– Marc Martina, Owner, President/CEO, Technology Dynamics, Inc.
“We are especially interested in leveraging the summarization features in watsonx.ai to greatly improve service delivery. Providing IT agents with a comprehensive and accurate information source quickly and reliably eliminates the need to go through multiple documents manually. Integrating watsonx.ai capabilities with our data information sources, we can correlate and summarize information from various documents, delivering concise natural language answers.”
– David Tan, CTO, CrushBank Technology, Inc.
The largest geospatial foundation model—made by watsonx.ai with NASA data—is now open sourced on Hugging Face.
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. See Pricing for more detail. Unless otherwise specified under Software pricing, all features, capabilities, and potential updates refer exclusively to SaaS. IBM makes no representation that SaaS and software features and capabilities will be the same.