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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows. AI/ML specification report generation for regulatory compliance AWS maintains compliance certifications for various industry standards and regulations.

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Generative AI is Shaping The Future of Contact Centers in 2024

Balto

But that’s just a small part of what you can do with an advanced language model — you can do more things, such as comparing this quarter’s metrics with those of the previous quarters. 115% Increase in Compliance: Ensure regulatory compliance and build a contact center that operates seamlessly within industry standards. $3M+

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. See demos on how to build analytics dashboards and integrations between LLMs and Amazon QuickSight to visualize your key metrics.