In order to break AI siloes for enterprises that are caused by vendor lock-in, IBM is making its AI engine IBM Watson portable across any cloud.
IBM Watson helps enterprises to use artificial intelligence (AI) for improving the business performance. It comes with a set of development tools, applications, machine learning models, and management services. These resources are used to mine data, predict outcomes, and automate time- and resource-sensitive processes.
The aim behind making Watson available on every cloud is to provide businesses a simpler and faster way to build and deploy AI models and applications without worrying about the vendors they have chosen for other technologies. They will now be able to deploy AI wherever their data resides.
Adoption of AI is rapidly increasing among enterprises, but many companies still find it difficult to take their projects ahead. As per a report by MIT Sloan, 81% of enterprises aren’t sure about the data needed for AI or what are the right ways to access that data.
“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.”
Enterprises will now be able to integrate IBM Cloud Private for Data (ICP for Data), Watson and Watson OpenScale on premises, private cloud, public cloud, and hybrid-multicloud. This will allow them to implement AI into their applications, regardless of the location of app.
IBM mentioned that the new flexibility will remove scalability obstacles, because enterprises can now store their data in the environment of their preference and take Watson to that data.