Unlocking 90% of Dormant Data: Charlotte Hornets AI Computer Vision Analysis
Discover how Charlotte Hornets AI computer vision analysis turned 90% of unstructured video data into a 2025 NBA Summer League MVP and championship win.
Enterprises are sitting on a goldmine they can't see. As much as 90% of the data generated by organizations is unstructured, from video footage to call records. But while most let this data gather dust, the Charlotte Hornets used it to win a championship.
How Charlotte Hornets AI Computer Vision Spotted a Champion
According to MIT Technology Review, the Charlotte Hornets turned to AI to analyze raw game footage from smaller leagues that typically escape the notice of scouts. By partnering with Invisible Technologies, the team deployed advanced computer vision techniques like movement pattern analysis and player tracking to identify untapped talent.
The result was tangible. The AI-identified recruit was named the MVP at the 2025 NBA Summer League, leading the team to its first summer championship title. This victory wasn't just on the court; it was a win for data-driven intelligence over traditional guesswork.
The Architecture of Success: Fine-Tuning and FDEs
The project's success didn't come from a generic tool. The team utilized 5 foundation models, meticulously fine-tuned to understand basketball-specific contexts. Invisible Technologies employed Forward-deployed engineers (FDEs), a model popularized by Palantir, to bridge the gap between product engineering and the Hornets' operational reality.
- Data Preparation: AI can't solve a problem if the data isn't consumable.
- Contextual Calibration: Models must be taught to differentiate a basketball court from a football field.
- Clear Goals: AI pilot programs fail without a defined business purpose.
This content is AI-generated based on source articles. While we strive for accuracy, errors may occur. We recommend verifying with the original source.
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