IBM announced it is rolling out IBM watsonx—the enterprise-ready AI and data platform. watsonx comprises three products to help organizations accelerate and scale AI—the watsonx.ai studio for new foundation models, generative AI and machine learning (now available); the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture (now available); and the watsonx.governance toolkit to help enable AI workflows to be built with responsibility, transparency and explainability (coming later this year).
Watsonx allows clients and partners to specialize and deploy models for various enterprise use cases or build their own. To date, the platform has been shaped by more than 150 users across industries—from telco to banking—participating in the beta and tech preview programs.
IBM is also working with an expanding ecosystem of partners to co-create and innovate across industries and use cases—from space to sports—including work with NASA to build the first foundation model for analyzing geospatial data and Wimbledon, where watsonx was used to produce tennis commentary.
Today in watsonx.ai, AI builders can leverage models from IBM and from the Hugging Face community for a range of AI development tasks.
The models are pre-trained to support a range of Natural Language Processing (NLP) type tasks including question answering, content generation and summarization, text classification, and extraction.
Future releases will provide access to a greater variety of IBM-trained proprietary foundation models for efficient domain and task specialization.
Addressing the global need for foundation models, IBM announced new GPU offerings on IBM Cloud, an AI-tailored infrastructure designed to support enterprise compute-intensive workloads. Later this year, IBM is expected to offer full stack high-performance, flexible, AI-optimized infrastructure, delivered as a service on IBM Cloud, for both training and serving foundation models.
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