In this moment, excerpted from the session “Image Tagging AI Case Study: A Customer Story,” Michael Simms, VP Data & AI, Columbus, demonstrates the results that their AI solution can achieve over time to improve accuracy.
Key Takeaways
- Applying data to AI: When implementing AI for Mad Engine, Columbus built out an engine that combined various AI technologies, like those from OpenAI and ChatGPT. They started pulling historic data to improve the AI engines and increase accuracy.
- Increased accuracy: As they are able to add more information, the AI has been learning and becoming increasingly more accurate.
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