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IBM today announced that it is freeing its Watson-branded AI services like the Watson Assistant for building conversational interfaces and Watson OpenScale for managing the AI lifecycle from its own cloud and allowing enterprises to take its platform and running it their own data centers. In a way, you can think of this as Watson as a managed service.
“Clients are really struggling with infusing AI into their applications because the data is distributed in multiple places,” IBM Watson’s CTO and chief architects Ruchir Puri told me when I asked him for IBM’s reasoning behind this move. “It’s in these hybrid environments, they’ve got multiple cloud implementations, they have data in their private cloud as well. They have been struggling because the providers of AI have been trying to lock them into a particular implementation that is not suitable to this hybrid cloud environment.”
Decision - Watson - Cloud - IBM - Businesses
So with this decision of bringing Watson to any cloud, IBM wants to give these businesses the option to bring AI to their data, which is significantly harder and costlier to move, after all. Purir also stressed that many enterprises have long wanted to use AI to make their operations more efficient, but they needed to run their AI tools in an environment that they control and feel comfortable with.
At the core of the technical specifications for running Watson in their public or private cloud is IBM Cloud Private, the company’s private cloud platform that uses open source technologies for running tools and services like Kubernetes and Cloud Foundry. That’s the platform that allows enterprises to...
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