  This paper presents a case study of how Petco, a leading pet retailer,
innovated their pet health analysis processes using the Media Insights Engine
to reduce the time to first diagnosis. The company leveraged this framework to
build custom applications for advanced computer vision tasks, such as
identifying potential health issues in pet videos and images, and validating AI
outcomes with pre-built veterinary diagnoses. The Media Insights Engine
provides a modular and extensible solution that enabled Petco to quickly build
machine learning applications for media workloads. By utilizing this framework,
Petco was able to accelerate their project development, improve the efficiency
of their pet health analysis, and ultimately reduce the time to first diagnosis
for pet health issues. This paper discusses the challenges of pet health
analysis using media, the benefits of using the Media Insights Engine, and the
architecture of Petco's custom applications built using this framework.
