Overview
BasisAI: Accelerating AI Adoption with Google CloudGoogle Cloud Platform |
Analytics & Modeling - Machine Learning Cybersecurity & Privacy - Cloud Security | |
Equipment & Machinery Transportation | |
Product Research & Development Quality Assurance | |
Chatbots Predictive Maintenance | |
Cloud Planning, Design & Implementation Services Training | |
Operational Impact
The implementation of Google Cloud and the development of Bedrock have resulted in significant operational benefits for BasisAI. The company has been able to simplify the development experience and reduce the administrative burden, allowing data scientists to focus more on modeling. The use of Google Kubernetes Engine has enabled BasisAI to dynamically allocate resources to customer projects, saving costs on compute resources and reducing the time spent on infrastructure work. The company has also improved its security posture, identifying and resolving potential threats from misconfigurations and compliance violations. Furthermore, BasisAI has been able to provide its customers with full transparency on how each AI model works, promoting fairness and preventing unwanted biases. The company has also been able to test code before rolling into production, reducing the risk of issues in the deployment phase. | |
Quantitative Benefit
Speeds up business impact for customers deploying ML models from prototype to production in minutes, not months | |
Reduces infrastructure burden by 25% with machine learning operations (MLOps) that enable data scientists to focus on modeling | |
Reduces the time-to-market of ML systems by up to 70% | |