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How do you diffuse AI into the real world? — Varun Shenoy, Long Lake

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youtube.com
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AI Engineer
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Long Lake's approach to applying AI in services is to own and operate the businesses where the work happens. Its conference talk argues that ownership puts responsibility for deployment failures inside the same organization that can change the process.

The talk emphasizes work whose useful details are often absent from public training material, such as coordinating vendors to repair a roof. Those tasks nevertheless produce observable outcomes: the repair either happened or it did not. The proposed advantage is access to both the operating process and evidence of completion, allowing AI systems to be evaluated against the service delivered.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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