Daylight Transport
Caylent Catalysts™
MLOps with SageMaker AI
Leverage Amazon SageMaker AI's MLOps toolset to reduce your time-to-market, streamline administrative tasks, lower your operational costs, and free up valuable time for data scientists and engineers to focus on innovation and differentiation.
What is it?
Let your Data Scientists be Scientists and let automation do the rest
At Caylent, we recognize that the key to successfully using AI to transform and scale your business is automating the operational aspects through modern ML Operations (MLOps) workflows. MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the machine learning development lifecycle. Without this level of automation, Artificial Intelligence projects can be slow to market, cost-prohibitive, and resource-intensive.
Let Amazon SageMaker AI's MLOps toolset help reduce your time-to-market, streamline administrative tasks, lower your operational costs, and free up valuable time for data scientists and engineers to focus on innovation and differentiation.
Engagement Details
Explore our other Caylent Catalysts™ packages
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Plan and implement an MLOps strategy unique to your team's needs, capabilities, and current state, unlocking the next steps in tactical execution by offloading the infrastructure, data, operations, and automation work from data scientists.
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Rapidly implement a foundational low-code data lake with Caylent's data engineering experts who will also enable your teams for no-code exploratory data analysis.
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