IBM Unveils the Watsonx Platform to Power Next-Generation … – IBM Newsroom

ARMONK, N.Y., May 9, 2023 /PRNewswire/ — Today, IBM (NYSE: 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. Enterprises turning to AI today need access to a full technology stack that enables 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.
IBM Think 2023
Also at Think, IBM is announcing further planned advancements, including a GPU-as-a-service infrastructure offering designed to support AI-intensive workloads, an AI-powered dashboard to measure, track, manage, and help report on cloud carbon emissions, and a new practice for watsonx and generative AI from IBM Consulting that will support client deployment of AI.
With watsonx, IBM is offering an AI development studio with access to IBM-curated and trained foundation models and open-source models, access to a data store to enable the gathering and cleansing of training and tuning data, and a toolkit for governance of AI into the hands of businesses that will provide a seamless end-to-end AI workflow that will make AI easier to adapt and scale.
"With the development of foundation models, AI for business is more powerful than ever," said Arvind Krishna, IBM Chairman and CEO. "Foundation models make deploying AI significantly more scalable, affordable, and efficient. We built IBM watsonx for the needs of enterprises, so that clients can be more than just users, they can become AI advantaged. With IBM watsonx, clients can quickly train and deploy custom AI capabilities across their entire business, all while retaining full control of their data." 
Clients will have access to the toolset, technology, infrastructure, and consulting expertise to build their own — or fine-tune and adapt available AI models — on their own data and deploy them at scale in a more trustworthy and open environment to drive business success. Competitive differentiation and unique business value will be able to be increasingly derived from how adaptable an AI model can be to an enterprise's unique data and domain knowledge.
The IBM watsonx platform consists of three unique product sets to address these needs: 
IBM watsonx.ai: A next generation enterprise studio, expected to be generally available in July 2023, for AI builders to train, test, tune, and deploy both traditional machine learning and new generative AI capabilities powered by foundation models through an open and intuitive user interface. 
IBM watsonx.data: A fit-for-purpose data store built on open lakehouse architecture that is optimized for governed data and AI workloads, supported by querying, governance, and open data formats to access and share data. The solution is expected to be generally available in July 2023 and:
IBM watsonx.governance: An AI governance toolkit to enable trusted AI workflows. The solution, expected to be generally available later this year:
With the watsonx platform, clients are enabled to meet the needs of their organization in five key areas of their business: interacting and conversing with customers and employees; automating business workflows and internal processes; automating IT processes; protecting against threats; and tackling sustainability goals.
IBM also plans to infuse watsonx.ai foundation models throughout all its major software products going forward, for example: 
Also at Think 2023, IBM will announce a number of additional upcoming offerings that are planned to help drive AI adoption, including: 
The Think 2023 broadcast can be accessed at www.ibm.com/events/think. During his keynote airing Tuesday, May 9, 8:30 a.m. – 9:15 a.m. EDT, IBM CEO and Chairman Arvind Krishna will be joined on stage by leaders from Delta Airlines, Citi, and Red Hat to discuss their visions for creatively turning challenges into opportunities with hybrid cloud and AI. On Wednesday, May 10, 4:30 p.m. – 5:00 p.m. EDT, Darío Gil, Senior Vice President and Director of IBM Research, will give a keynote on how generative AI can be applied for business use cases.
Following the flagship event in Orlando, Think on Tour will travel to more than a dozen cities around the world. For updates on confirmed cities, please visit: https://www.ibm.com/events/think/on-tour/.
About IBM
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. For more information, visit www.ibm.com.
Hugging Face and IBM to partner to help democratize access to foundation models
"To benefit from the latest AI capabilities, enterprises want to build on open-source machine learning: open-source models trained on accessible datasets that can run within a secure environment with compliance and proper data governance," said Clem Delangue, co-founder and CEO, Hugging Face. "We are excited to partner with IBM to deliver a top-tier developer experience based on Hugging Face open-source and community-driven machine learning, within the new watsonx platform offering the enterprise-readiness and trustworthiness of IBM."
Meta's PyTorch team and IBM change one line of code to massively improve AI model training
"Businesses today cannot get the most from their AI and cloud technologies unless these innovations are equipped to succeed at scale," Damien Sereni, Engineering Director, Meta. "Meta has enjoyed a multi-year collaboration with IBM to address this key challenge. And, with the release of IBM watsonx, the PyTorch team at Meta and IBM are collaborating further to build a production-ready software stack for end-to-end training, fine-tuning and inference of large-scale foundation models."
How IBM and NASA's AI foundation model can help track and adapt to climate change
"NASA is committed to the full, free and open sharing of over 100 PB of scientific data and information. This is the first-time foundation models have been applied to the immense archive of Earth science data and we are working with IBM to evaluate the foundation model stack within NASA's Science Managed Cloud Environment," said Kevin Murphy, Chief Science Data Officer at NASA. "Next-generation AI technology can expedite our analysis and discovery of mission-critical insights pertaining to Earth and climate-related issues, enabling scientists to gain insights that can help us protect our planet."
WIX leverages IBM large language models to improve customer care
"Wix is proud to leverage state-of-the-art IBM large language models to uncover novel insights from vast amounts of PII-stripped customer care data and thereby increase our support of more than 243 million clients across the globe," said Yoav Abrahami, Chief Architect at Wix and Head of Velo.
IBM's plans, directions, and intentions may change or be withdrawn at any time at IBM's discretion without notice. Information about potential future products and improvements is provided to give a general idea of IBM's goals and objectives and should not be used in making a purchase decision. IBM is not obligated to provide any material, code, or functionality based on this information.
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1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors. Savings may vary depending on configurations, workloads and vendors.
 
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