Cheung suggests that enterprises need AI that is accurate, scalable, and adaptable.
Global technology giant IBM plans to launch Watsonx, a next-generation artificial intelligence (AI) platform that leverages generative AI capabilities to help organizations make faster and more efficient decisions. increase.
Many global tech companies are jumping on the generative AI bandwagon.
Watsonx provides business users, data scientists and developers with self-service access to high-quality proprietary IBM foundational models, securely using their own data to build both traditional machine learning and new foundational models and the improving IBM AI and Data Platform.
“AI for business is stronger than ever with the development of our foundational model, which makes AI deployments much more scalable, affordable, and efficient,” said IBM chairman. said Arvind Krishna, Chief Executive Officer and Chief Executive Officer, at IBM’s annual Think conference in 2016. It will be held in the United States from May 9th to 11th.
IBM built Watsonx to meet the needs of enterprises to rapidly train and deploy custom AI capabilities across their business while having complete control over their data.
“Enterprises need AI that is accurate, scalable, and adaptable. Enterprises need AI that delivers reliable and accurate results, can be rapidly built and extended across clouds, and is easy to adapt to new scenarios and use cases. We want an AI that can adapt to,” said Director Kitman Chan. At a virtual press conference held Wednesday, IBM Technology — Software reported on the percentage of its technology sales destined for APAC.
An IBM survey found that 41% of IT professionals are considering generative AI in their organization, and 27% are actively using it.
“The potential for AI in all generations and interactions with information is enormous. However, IBM recognizes that a different technology platform is needed to deliver this to businesses. That’s why we put together the Watsonx product,” said Cheung.
He added that Watson has been IBM’s flagship brand for many years, and IBM has continued to invest in AI technology.
“This is our future direction and how we see AI in the next decade. We are providing a platform that can help scale and deliver this next-generation AI technology,” said Cheung. rice field.
“We are looking to solve business problems, so it is important that this platform helps our customers deploy their models in an accurate, scalable and adaptive way. That is why now is the time to deploy Watsonx. I think it is the right time to do so.”
Early use cases range from digital labor, IT automation, application modernization, security to sustainability.
The watsonx platform consists of three unique sets of products. The first — IBM watsonx.ai — is our next-generation enterprise studio, slated for general availability in July 2023. It is for AI builders to train, test, tune, and deploy both traditional machine learning and new generative AI capabilities. Build foundational models through an open and intuitive user interface.
The second (IBM watsonx.data) is a purpose-built data store optimized for governed data and AI workloads, with query, governance, and open data formats to access and share data Supported by This solution is planned for general availability in July 2023.
The third — IBM watsonx.governance — is an AI governance toolkit that enables trustworthy AI workflows. This solution will be available later this year.
Cheung said AI is projected to generate nearly US$16 trillion by 2030. But as companies rush to adapt AI, people need to remember that consumer AI applications are different from business AI applications, especially when it comes to underlying models and generative AI.
