re:Invent 2024

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

Related Case Studies

Daylight Transport Logo

Daylight Transport

LTL transportation and logistics company improves database performance by 23x with AWS cloud data solutions

Read more
Upside Logo

Upside

Retail technology company improved retail promotion and recommendation engine with MLOps

Read more
Order.co Logo

Order.co

Fintech purchasing platform transforms data infrastructure and operations with AWS SageMaker AI

Read more

Accelerate your cloud native journey

Leveraging our deep experience and patterns

Get in touch