Caylent Catalysts™
Serverless Data Lake
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.
Caylent Catalysts™
MLOps Strategy
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.
Engagement Details
MLOps Strategy
Highlights
- Take advantage of AWS managed services in the Amazon SageMaker AI family and infrastructure innovations like Inferentia and Tranium to greatly reduce time to market and runtime costs
- Leverage the AWS Well-Architected Machine Learning Lens to define your MLOps strategy and roadmap with cloud and technology best practices
Deliverables
- MLOps strategy, data engineering, model engineering, and operations workshops
- Data landscape summary of data sources, transformations, complexity, stages, and destinations
- Implementation plan with initial business cases and models
- All diagrams and documentation developed during the engagement including source code, scripts, templates, and other technical artifacts
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Caylent Catalysts™
Data Modernization Strategy
From implementing data lakes & migrating off commercial databases to optimizing data flows between systems, turn your data into insights with AWS cloud native data services.
Caylent Catalysts™
Enhanced AWS Control Tower
Accelerate the adoption of a production ready AWS foundation, and establish automated security guardrails to keep existing and new accounts in compliance with your desired security posture.
