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At its annual Think conference, IBM announced the release of Watsonx, a new AI and data platform that will empower enterprises to scale and accelerate the impact of the most advanced AI with trusted data.
Today, enterprises require access to a full technology stack that allows them to train, tune, and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance – all in one place and to run across any cloud environment.
With Watsonx, IBM is providing businesses with an AI development studio that grants access to IBM-curated and trained foundation models and open-source models.
Furthermore, it provides a data store to enable the gathering and cleansing of training and tuning data and a toolkit for the governance of AI, making it easier to adapt and scale AI seamlessly.
Clients will receive access to a toolset, technology, infrastructure, and consulting expertise that allows them to build or adjust available AI models on their data. They will then be able to deploy these models on a larger scale in an open and trustworthy environment, which will lead to business success.
A company’s ability to adapt an AI model to its unique data and domain knowledge will increasingly result in competitive differentiation and unique business value.
Watsonx.ai: It is an upcoming next-generation enterprise studio, which will be available in July 2023. AI builders can use this studio to train, test, tune, and deploy traditional machine learning and new generative AI capabilities powered by foundation models through an intuitive and open user interface.
Watsonx.data: IBM developed Watsonx.data, a purpose-built data store, on an open lakehouse architecture that tailors to governed data and AI workloads. Supporting the data store are querying, governance, and open data formats, enabling access to and sharing of data. The solution will be available in July 2023.
Watsonx.governance: IBM Watsonx.governance is an AI governance toolkit that facilitates trusted AI workflows. It will be available later this year.
Watson Code Assistant: Developers will be able to generate code using a simple English language command through this solution, which uses generative AI. It is likely to be available later this year.
AIOps Insights: AI Operations (AIOps) capabilities will be enhanced with foundation models for code and NLP. This will provide greater visibility into performance across IT environments and help ITOps managers and SREs resolve incidents in a more cost-efficient way.
Watson Assistant and Watson Orchestrate: IBM will combine its digital labor products with an NLP foundation model to enhance employee productivity and customer service experiences.
Environmental Intelligence Suite: The geospatial foundation model will enable IBM EIS Builder Edition, which will be available for preview later this year. This will allow organizations to create customized solutions that address and mitigate environmental risks according to their unique needs and goals.
IBM will also be unveiling further advancements at the Think conference, which includes a GPU-as-a-service infrastructure offering designed to support AI-intensive workloads, an AI-powered dashboard that measures, tracks, manages, and helps report on cloud carbon emissions and a new practice for Watsonx and generative AI from IBM Consulting. This new practice will help support client deployment of AI.
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