IBM Watson Is Now Available Anywhere
IBM announced a new chapter in the journey from AI experimentation to wide-scale deployment and industry transformation. The company has made Watson portable across any cloud and empowered businesses to prevent vendor lock-in and start deploying AI wherever their data resides.
"Businesses have largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data," said Rob Thomas, General Manager, IBM Data and AI. "With most large organizations storing data across hybrid cloud environments, they need the freedom and choice to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure we can help businesses accelerate their transformation through AI."
With a set of applications, development tools, machine learning models, and management services, Watson is helping organizations around the world mine their data, predict outcomes, and automate time- and resource-sensitive processes. At the heart of announcement is a series of new Watson microservices built for ICP for Data that are based on open source technologies and easily scalable across cloud environments. Based on the open-source Kubernetes technology, new services can be run on IBM Cloud, and other public, hybrid or multi-cloud environments.
The new Watson services join Studio and Machine Learning, among other services, which are currently available on ICP for Data. Later this year, IBM will bring additional services to ICP for Data, including Knowledge Studio and Natural Language Understanding. In addition to this news, IBM also announced that Machine Learning is being extended with a new Accelerator that enables high performance GPU clustering on Power Systems and X86 systems.
In addition to the release of these solutions, IBM announced a forthcoming software capability, called Business Automation Intelligence with Watson. With this new software, business leaders will be able to apply AI directly to applications, helping to strengthen their workforce, from clerical to knowledge workers, to intelligently automate work from the mundane to the complex. In addition, the software will measure the level of impact and effectiveness of AI on business outcomes.