Enterprise Generative AI isn’t about plugging into a single model.
It’s about assembling the right services into a secure, governed, and scalable platform.
Many organizations know they want to adopt AI, but struggle to understand which AWS services truly matter and how they fit together.
▶ Building Generative AI Platforms on AWS
In Part 2 of our series, we move from “why AI matters” to “how it’s built.” Nathan Liston, Director of Data & Analytics at CleanSlate Technology Group, explains how AWS services combine to support enterprise-level Generative AI initiatives.
Rather than relying on a single tool, successful AI platforms are built by intentionally integrating:
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Foundational AI services like Amazon Bedrock
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Model development and training services like SageMaker
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Data services that ensure quality and accessibility
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Automation and observability tools that provide governance and scale
Nathan highlights how AWS provides not only access to foundational models, but also the guardrails and infrastructure required to support enterprise-grade AI adoption.
In this video, you’ll learn:
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Which AWS services enable Generative AI solutions
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The role Amazon Bedrock plays in enterprise AI
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Why data, automation, and monitoring are critical
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How AWS simplifies building trusted, scalable AI platforms
🎥 Watch the full video to hear Nathan’s breakdown, and don’t miss the other videos in this series on YouTube → https://youtu.be/V89PgxEWKDA
Learn how CleanSlate helps organizations migrate and modernize on AWS with confidence:
https://www.cleanslatetg.com/partners/aws/