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IBM® watsonx.ai™ AI studio is part of the IBM watsonx ™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle.
Watsonx is IBM's commercial generative AI and scientific data platform based on cloud. It offers a studio, data store, and governance toolkit. It supports multiple large language models (LLMs) along with IBM's own Granite.
Get started for free with IBM® watsonx.ai™ to build with our new studio for foundation models, generative AI and machine learning.
IBM watsonx Assistant is a next-gen conversational AI solution that empowers anyone in your organization to effortlessly build generative AI Assistants that deliver frictionless self-service experiences to customers across any device or channel, help boost employee productivity, and scale across your business.
May 9, 2023 · IBM, at its annual Think conference, announced IBM watsonx, a new AI and data platform to be released that will enable enterprises to scale and accelerate the impact of the most advanced AI with trusted data.
Apr 2, 2024 · IBM watsonx.ai is the state-of-the-art foundation model studio with which users can build generative AI-powered applications. Watsonx.ai also contains the ability to train classical machine learning models and provides all the necessary tools to cleanse and prepare data before building models.
IBM watsonx is an AI and data platform designed to help you deploy and embed AI across your business. Get started by exploring these high-impact use cases. Scaling Generative AI for business.
May 9, 2023 · Watsonx, IBM’s next-generation AI platform, is designed to do just that. It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems.
May 21, 2024 · IBM announced several new updates to its watsonx platform one year after its introduction, as well as upcoming data and automation capabilities designed to make artificial intelligence (AI) more open, cost effective, and flexible for businesses.
