Empowering digital transformation with .NET, ML and Azure
summary
A .NET Core and Azure pipeline combines custom C# predictive models, open‑source ML libraries and Docker containers with Azure autoscaling to ingest images, OCR and index records; it scales from a few hundred to processes up to 10,000 documents/day, moves workloads off Mono for smaller container images and cross‑platform deployment, and automates insurance reimbursements — reduced reimbursements from 10 days to 10 minutes while enabling searchable, cloud‑backed medical records.
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chapters (5)
- 0:00Start
- 1:07What tools are being used?
- 3:34How did they move from mono to .NET Core?
- 5:30What impact has their work had?
- 10:51Benefits of the cloud for the Caribbean
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