MLOps Acceleration (Services)

AIB2BSMBAutomation
Written By Bruno Carrier

Overview

For a customer with resource constraints, we combined Data Science and Engineering practices to streamline AI development. Our approach integrates model development and deployment with automated testing and simplified management. This accelerated time-to-market while improving model quality and operational resilience through standardized development pipelines.

Challenges

The customer aimed to enhance their AI development capabilities by adopting a streamlined approach to model development and deployment. Integrating Data Science and Engineering practices enabled a cohesive solution that automates testing and simplifies management. This approach accelerated time-to-market, improved model quality, and built operational resilience through standardized development pipelines.

Results and Benefits

Faster model deployment with higher reliability. Reduced operational toil. Better visibility and control.

AWS Services

Amazon SageMaker, Amazon S3

Customer details

  • Industry: Services

  • Company Type: Mid-sized Enterprise

  • Location: France

  • Project Timeline: 2 weeks

Bruno Carrier https://benilar.com
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