Overview
As GameChanger elevates youth sports, CloudFactory’s Model Monitoring & Oversight works behind the scenes to build greater confidence in AI models' output and performance.
Services Used
Model Monitoring & Oversight
Industry
Sports Analytics
Company Size
150 - 200
GameChanger has big goals for models in the real world!
Reliability of computer vision models
Resolving low-confidence inferences and edge cases
Verifying production models’ behavior against key risk frameworks
Meet Our Client
GameChanger is taking youth sports to a new level with apps that capture the essence of youth sporting events with professional-level coverage. Its mobile platforms unify sports moments for coaches, parents, volunteers, fans, and athletes, offering everything from scores and stats to live streaming and highlight reels in a single location.
Volunteers manage scoring, recruiters analyze player data, athletes create portfolios, family members offer support, and coaches evaluate gameplay—all with artificial intelligence (AI) being front and center.
Their Challenge
AI is not only crucial to GameChanger’s business model, but it’s also a key player in the satisfaction and experience of sports application users. In order to delight friends, family, and all involved, the AI models driving those apps must perform optimally in real-world scenarios.
“GameChanger wanted to prioritize the quality, robustness, and performance of our models, and so that led us into discussions with CloudFactory for how we could use their Model Monitoring & Oversight solution to achieve that.”
GameChanger needed to make sure their models performed as expected in production. This was an acute issue for them because of the varying seasons and distribution of data rapidly changing from indoor to outdoor events.
The priority was for their AI models to handle those changes gracefully, preserving the high performance required.
CloudFactory has been very supportive in figuring out how their Model Monitoring & Oversight solution fits with our use cases and enabling our initial implementations rapidly, accelerating the time to get a working prototype into market.
Leonard Grazian
Engineering Manager, Computer Vision, GameChanger
Our Solution
GameChanger’s goals were threefold:
- Model monitoring for reliability of computer vision models against human-verified ground truth
- Exception handling for resolving low-confidence inferences and edge cases for production workflows.
- Model auditing for verifying production models’ behavior against key risk frameworks from a trusted third party.
The CloudFactory Model Monitoring & Oversight solution hit it out of the park in meeting those goals, automating systematic review of model inference to help AI teams observe and improve models in production.
The Results
Well, if you were at a youth baseball game, we’d tell you that the game just started. We’re in the early innings of the AI journey in monitoring and managing GameChanger’s apps across youth sports.
So far, CloudFactory continues to crush it when it comes to combining technology and human talent to ensure model performance by continually monitoring models and reacting quickly to resolve errors or anomalies and reduce incidents.
The ultimate goal is to help GameChanger improve model reliability and deploy into production with confidence. So far, CloudFactory is right on track.
“We’re driving better oversight and observability in our production AI models. Through our partnership with CloudFactory and its Model Monitoring & Oversight solution, we’re improving monitoring and proactively detecting model degradations faster to minimize downtime.”
As GameChanger and CloudFactory continue to work together, we’ll be back in the later innings to give you an update on how things are progressing…so grab a drink and some popcorn, and we’ll see you soon!
Ready to get started? We are.
We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
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