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IBM and Palantir Partner On Low-Code AI Development
IBM and Palantir are partnering to make it easier to develop and deploy low-code AI applications to IBM’s hybrid cloud.
IBM is all-in on hybrid cloud, with plans to split the company and spin off its legacy business into an independent company, while the core company focuses on the cloud. As it moves toward that goal, IBM has been shoring up its cloud business, buying up startups and inking deals with complimentary companies.
The latest deal involves partnering with Palantir, with the two companies announcing a new product, Palantir for IBM Cloud Pak for Data. The new application is designed to address the disparity between those companies that want to deploy AI and companies that have the necessary experience. According to IBM, 75% of business are exploring AI implementation. Unfortunately, 37% have limited AI experience, while 31% cite data silos and data complexity as major challenges.
Palantir for IBM Cloud Pak for Data is designed to address these challenges by bringing a no-code/low-code approach to AI application development.
The new product will leverage Palantir Foundry and will integrate with IBM Cloud Pak for Data services, such as Watson, providing an information architecture that includes data and AI with built-in governance. It is designed to provide an easy to use “no-code/low-code” environment for building applications that use AI to inform data-driven decision making and automate tasks and processes. Built on Red Hat OpenShift, Palantir for IBM Cloud Pak for Data is intended to help businesses reduce data silos, integrate data sources across hybrid cloud environments, and govern data throughout the AI lifecycle. The product is being designed to help users securely build and deploy AI applications with that data quickly, to rapidly complement and extend existing enterprise systems and accelerate their digital transformation.
The new application will be available in March 2021 and may very well help speed the adoption of AI.
IBM and Palantir Partner On Low-Code AI Development
Matt Milano
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