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Arvind Krishna: 6 Reasons IBM Is ‘Positioned To Lead’ Hybrid Cloud, AI

In a letter to investors highlighting some of the biggest opportunities ahead, the IBM CEO pointed to Red Hat OpenShift, reimagined workflows with AI and working with partners to drive consumption.

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Reimagined Workflows With AI

With more than 40,000 clients using IBM to deploy AI at scale, Krishna estimates that the current enterprise deployment rate of AI is only in the single digits. IBM’s AI platform runs on-premises and on private and public clouds--and has use cases ranging from IT operations automation through a partnership between ServiceNow on Watson AIOps and creating multilingual chatbots through Watson Assistant, natural language processing and enterprise AI search capabilities. “We focused on modernizing clients’ applications and reimagining their workflows with AI,” Krishna said.

Part of IBM’s recent investments in AI include IBM Spectrum Scale Data Acceleration for AI, software that should allow access and data movement between IBM Spectrum Scale and object storage stored on-premises or in the cloud.

 
 
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