(Image from IBM's official website)
"In this hybrid environment, they deploy multiple clouds, and some data is stored in private clouds. They are hard to do because AI providers always want to lock them in a particular cloud, but this is not suitable for today's hybrid cloud environment.
So after opening Watson, IBM hopes that these companies can apply AI to their data. Prey also stressed that many companies have long wanted to improve operational efficiency through AI, but they need to run AI tools in an environment they can control and feel comfortable with.
IBM's current open focus is Watson's assistant to build a dialogue interface and Watson OpenScale to manage the life cycle of AI. "Our current features are based on our two flagship products, which solve a considerable portion of the use cases we encounter." "For the rest of this year, we'll introduce other features into the platform. For example, Watson Knowledge Workshop will join this group, and Watson's Natural Language Comprehension (NLP) capability in our current public cloud environment will also be introduced.
In this way, IBM will provide a full range of tools for businesses, Pryer said.DevelopmentIt can be used to run AI models, whether structured or unstructured. In addition, it can also detect and manage the life cycle comprehensively.
IBM also announced today that it will launch a new version of Watson Machine Learning Accelerator, introducing a high-performance GPU cluster to Power System and x86 systems, promising to accelerate AI performance up to 10 times.