Overview
EarthSnap: Transforming AI Image Identification with MLOps & Managed AIProvectus |
Analytics & Modeling - Machine Learning Application Infrastructure & Middleware - Event-Driven Application | |
Cement Construction & Infrastructure | |
Maintenance Product Research & Development | |
Computer Vision Construction Management | |
Data Science Services Training | |
Operational Impact
Provectus helped Earth.com to get EarthSnap back on track. In three months, they designed, built, and implemented fully automated, end-to-end ML pipelines for real-time CV models. The pipelines made ML workflows more observable and facilitated the deployment of new versions of the models, gradually improving and extending them by adding recognition of new species. The enhancements helped Earth.com to reduce engineering heavy lifting and minimize administrative costs. Now, with all components of EarthSnap modernized, Earth.com is ready for future expansion. As part of Managed AI Services, Provectus reduced the infrastructure management overhead, established well-defined SLA and processes, ensured 24/7 coverage and support, and increased overall infrastructure stability, including production workloads and critical releases. They initiated a series of enhancements to deliver their Managed MLOps Platform and improve ML engineering. By collaborating with Provectus, Earth.com was able to release the EarthSnap application on both the Appstore and Playstore ahead of schedule. | |
Quantitative Benefit
Fully automated, end-to-end ML pipelines delivered in 3 months | |
Flexible and easily customizable ML solution for faster, at-scale ML | |
Reduced heavy lifting and minimized administrative costs project-wide | |