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Enterprise AI and the Paradox of Accuracy

October 29, 2018 | Business, Data Science, Opinion Piece

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As more organizations begin to experiment with AI in their internal operations, an interesting paradox is developing. The best way to think about the state of AI is that it behaves as a powerful mimic. Because of this, AI often uncovers significant inconsistencies in the existing process it has been applied to. As a result, the conclusion is often that AI is not yet smart enough to perform the task, when in reality AI is simply uncovering existing inconsistencies in the human process being automated. With that said, there are a few key success factors that can help users overcome these inflated expectations.
Our CEO, Tom Wilde, discusses this topic in his article featured on Datanami.com

Read the full article to learn how to overcome the unrealistic expectations that come with deploying AI >>

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Increase intake capacity. Drive top line revenue growth.

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Unstructured Unlocked podcast

April 10, 2024 | E44

Unstructured Unlocked episode 44 with Tom Wilde, Indico Data CEO, and Robin Merttens, Executive Chairman of InsTech

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March 27, 2024 | E43

Unstructured Unlocked episode 43 with Sunil Rao, Chief Executive Officer at Tribble

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March 13, 2024 | E42

Unstructured Unlocked episode 42 with Arthur Borden, VP of Digital Business Systems & Architecture for Everest and Alex Taylor, Global Head of Emerging Technology for QBE Ventures

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