CIO
AUGUST 19, 2024
Yet as organizations figure out how generative AI fits into their plans, IT leaders would do well to pay close attention to one emerging category: multiagent systems. Agents come in many forms, many of which respond to prompts humans issue through text or speech. A similar approach to infrastructure can help.
AWS Machine Learning - AI
SEPTEMBER 6, 2024
In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.
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AWS Machine Learning - AI
APRIL 10, 2025
Special thanks to Roy Allela, Senior AI/ML Specialist Solutions Architect for his support on the launch of this post. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.
AWS Machine Learning - AI
MARCH 13, 2025
The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.
AWS Machine Learning - AI
NOVEMBER 24, 2023
This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.
O'Reilly Media - Ideas
NOVEMBER 19, 2024
One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s.
AWS Machine Learning - AI
APRIL 23, 2025
This endpoint based architecture provides decoupling between the other processing, allowing independent scaling, versioning, and maintenance of each component. The decoupled nature of the endpoints also provides flexibility to update or replace individual models without impacting the broader system architecture.
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