Cloud Managed Services
SpringML Capabilities
Dedicated technical account manager to review system health, cost optimizations and to provide recommendations to improve business operations
Support to extend your technical teams to ensure the availability of your business critical applications
Review data pipeline operations and model inferencing to ensure high availability
Periodic assessment on security, user experience and model accuracy and ensure the smart workflows stay relevant.
Protect, maintain and optimize your cloud investments with SpringML’s managed services.
The hidden truth in AI projects is the design and development is relatively easy. The hard part is the management of the data pipeline and keeping the intelligent workflows be continuously trained so that it’s relevant. We started with a clean sheet of paper to understand the need of enterprises when it comes to managed services.
At SpringML, we have a dedicated team that specializes in DevOps for AI projects. We provide customers a dedicated team, fit to purpose monitoring tools and automated incident management tool to efficiently run these next-generation applications smoothly.
SpringML offers managed services to maintain workloads that are migrated cloud, ensure ML models stay relevant and data pipeline is built to support the business insights the users are looking for.
SpringML’s managed services are designed to ensure workflows stay relevant
Provide DevOps support for application maintenance in cloud
We provide a guided action plan for our customers on the operating plan for ML models. There is a general misconception that highly accurate model translates to high business outcomes.
Our team of qualified data engineers ensures the data pipeline and the analytics workload run continue to operate at the high levels of availability.
Provide DevOps support for application maintenance in cloud
Our team of qualified data engineers ensures the data pipeline and the analytics workload run continue to operate at the high levels of availability.
We provide a guided action plan for our customers on the operating plan for ML models. There is a general misconception that highly accurate model translates to high business outcomes.
Thought Leadership
Check out our recent blogs and videos on best practices.
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We’re ready to maintain your intelligent workflows.
