Case studies
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Implementing DevOps, Optimizing Costs
- DevOps
- Infrastructure
- devops as a service
- +3DevOpsInfrastructuredevops as a service
Enhancing advance MLOps platform
devopsbay worked with Algorithmia on a platform for managing AI/ML models. We implemented central management and flexible deployment options. We added integrations with Kafka and Bitbucket SCM. The results were faster model deployment, better scalability and lower operational costs. The client gained a comprehensive tool for managing the lifecycle of AI/ML models.
Optimize e-commerce costs
The {descrb} project aimed to optimise e-commerce costs by automating the creation of product descriptions. We used the synergy of NLP models and our own hosted LLama for better data control. We also implemented a Confidence Index to assess the quality of the content generated. The results? A reduction in description creation time from 30 minutes to less than a minute, an increase in conversions by 25% and traffic by 10%.
Change the data from chaos to clarity
devopsbay helped a multinational manufacturing company on a project to speed up the data preparation process by 70% by implementing DataRobot Data Prep. The project focused on automating the cleaning and transformation of data from multiple sources, significantly reducing the time required to prepare data for analysis.
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Implementing DevOps, Optimizing Costs
The military defense platform to deter and defend
Enhancing advance MLOps platform
Change the data from chaos to clarity
Deploying Kubernetes on heterogeneous hardware
Datarobot - the fortune 500 company improve its infrastructure
Optimize e-commerce costs
Transforming Cloud AI with devopsbay's Scalable Platform Solution
