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IBM launches Watsonx, an AI platform with open source models, governance

By Larry Dignan

IBM launched Watsonx, a platform for artificial intelligence models and generative AI, in a move that revives the Watson brand. IBM also announced a partnership with Hugging Face to bring open source AI models to the enterprise.

Last week, ServiceNow and Hugging Face announced a partnership on open source AI models.

For IBM, the Watsonx launch is a way to bring together foundational models for code, AIOps, digital labor, security and sustainability. IBM is looking to capitalize on the generative AI boom as well as its various use cases.

IBM announced the news at its Think conference. IBM said it is looking to provide a full enterprise stack to train, tune and deploy AI models. In addition, IBM is outlining GPU-as-a-service to support AI workloads.

Watsonx includes the following:

  • An AI development studio to access curated and trained open source models. The AI studio will also enable enterprises to manage the data and AI lifecycle.
  • The ability to build models on language as well as code, time-series and tabular data, geospatial data and IT events.
  • Access to a data store to train and cleanse data via IBM Watsonx.data, which is built on an open data lakehouse architecture. It will be generally available in July and manage workloads on-premise and in multi-cloud environments.
  • A set of governance tools via IBM Watsonx.governance, which aims to govern customer privacy, model bias and drift as well as provide transparency.
  • Hugging Face will contribute open-source libraries, models and datasets. IBM is looking to use the open source approach it has used historically for AI applications.

IBM will also include a Watson Code Assistant, AIOps Insights, Watson Assistant and Orchestrate and Environmental Intelligence Suite as part of the Watsonx foundation.

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