What are the top AI enterprise productivity use cases?

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VP of Engineering3 months ago

There are two fundamental approaches to enterprise productivity: One is to use the new technology to do the old work better. And another is to use the new technology to evolve the work into the new domain - which requires a paradigm shift in a way of doing things.

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Director of Systems Operations in Healthcare and Biotech3 months ago

As others have stated, it really depends on your industry and use case. The good thing about the state of AI is, if you have great data then AI can be applied and utilized in almost any situation. It really comes down to great data. 

Director of IT3 months ago

I don't know about top use cases but these come to mind from my work - Compliance: AI drafts policies and standards, IT Third Party Risk:  AI takes security controls/questionnaires and scans vendor provided documentation to validate if the vendor is covering key areas.  AI can take multiple documents and scan through them simultaneously, Controls/Risk:  AI matching controls to frameworks and/or designing risk assessments. It is limited by the imagination of the user. It has its problems and it hallucinates and provides incorrect results more than one would think, but overall, it is a significant time saver. Our IT utilizes code generation capabilities of AI. 

Director of Product Management in Healthcare and Biotech3 months ago

We have implemented Data extraction from documents and specific healthcare use cases with significant success. Not to mention the code generation and productivity boost for IT organizations. 

Director of IT in Insurance (except health)3 months ago

From the various forums I have been to - document extraction (operational, invoice etc) or document review, coding/testing assistants and IVR (call centre / routing) seems to be the top productivity items for AI right now.     

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