2023-07-11 13:24:03
IBM announces availability of watsonxits AI and data platform. Announced during Think, IBM’s global event, in Maywatsonx has three products to help organizations accelerate and scale AI: watsonx. ai studio for new foundational models, generative AI and machine learning (available now); watsonx. data for storage with the flexibility of a data lake and the performance of a data warehouse (available now); It is watsonx. governancea toolkit to help enable AI workflows to be built with accountability, transparency, and explainability (available later this year).
Designed to help customers address massive data volume, complexity, cost and governance challenges when scaling AI workloads, watsonx. data enables organizations to access all of their information across on-premises and cloud environments through a single point of entry.
Watsonx makes it possible for customers and partners to specialize and implement models for enterprise use cases across different domains or to build their own models. To date, the platform has been used by over 150 organizations across industries from telecom to banking who are participating in the beta and technology preview programs, with over 40 testimonials initially shared.
The IBM Consulting role at watsonx provides deep knowledge in generative AI, as well as industry experience, that can help accelerate clients’ business transformations. Just as IBM established the successful hybrid cloud services business on the Red Hat® OpenShift® platform, IBM Consulting aims to be the leading provider of consulting services for watsonx.
Addressing the global need for foundational models, IBM announces new GPU offerings on IBM Cloud, a custom AI infrastructure designed to support intensive enterprise computing workloads. Later this year, IBM will offer a complete, high-performance and flexible AI-optimized infrastructure, delivered as a service on the IBM Cloud, to service and train foundational models.
Throughout 2024, IBM will make significant releases. For the remainder of this year, the company will focus on foundational models, expanding enterprise use cases beyond natural language processing (NLP) and operationalizing over 100 billion parameter models for targeted and custom use cases, paving the way for widespread adoption. broader corporate.
IBM will also bring its AI governance capabilities, helping companies implement end-to-end governance, reducing risk and improving compliance with growing AI and industry regulations. AI governance should never be an afterthought, which is why we encourage our customers to start this process in their machine learning models of today and foundational models of tomorrow.
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