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Thought Leadership

Amazon SageMaker now collaborates with Amazon DataZone to enhance the management of machine learning processes.

Amazon has announced an integration between Amazon SageMaker, a fully managed machine learning (ML) service, and Amazon DataZone, a data management service. This integration is planned to facilitate infrastructure setup with security controls, collaboration on ML projects, and management of access to data and ML assets. When solving business issues using ML, one creates ML models…

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Utilize chatbot automation for obtaining documents and data through the use of Agents and Knowledge Bases in Amazon Bedrock.

The article discusses the challenges faced by many customers in managing diverse data sources and presents a solution for developing a chatbot capable of answering queries using both documentation and databases. The chatbot leverages Amazon's fully-managed service, Amazon Bedrock, which uses high-performing Foundation Models (FMs) from leading AI companies, dealing with structured and unstructured data. Amazon…

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Boost LLM efficiency by integrating human and AI responses on Amazon SageMaker for Amazon Engineering.

Amazon’s EU Design and Construction (Amazon D&C) team is in charge of designing and constructing Amazon warehouses. They have to sift through a large number of documents and information to ensure the warehouse designs meet high standards. As part of a pilot scheme, Amazon D&C implemented an AI-powered solution built on Amazon SageMaker to help…

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Enhance the performance of LLM with inputs from human and AI on Amazon SageMaker, as a part of Amazon Engineering.

The Amazon EU Design and Construction (D&C) team has developed an artificial intelligence (AI) powered solution that improves the accuracy and efficiency of the construction process of Amazon warehouses. This solution involves a language learning model (LLM) which allows engineers to retrieve relevant information from a large volume of unorganized documents, improving the quality and…

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Discover concealed associations in unstructured financial data using Amazon Bedrock and Amazon Neptune.

Portfolio managers in the asset management industry face challenges in identifying secondary and tertiary impacts on their portfolio companies originating at suppliers, customers, partners, or other entities in their ecosystem. This piece illustrates an automated system that combines knowledge graphs and generative AI to help in identifying such risks. The system scans real-time news and…

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Improve the efficiency of code review and authorization using generative AI through Amazon Bedrock.

In the software development world, code review and approval are vital steps for ensuring software quality, functionality, and security. However, managers often face challenges with these processes, including lack of technical expertise, time constraints, high volumes of change requests, manual effort requirements, and necessary documentation. Generative artificial intelligence (AI) combined with AWS deployment tools and…

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The progression of PGA TOUR’s AI-powered virtual assistant, from initial idea through the development process to the finished prototype.

Artificial intelligence (AI) experts from Amazon and the PGA Tour have developed a prototype virtual assistant that uses large language models (LLMs) and the Retrieval-Augmented-Generation (RAG) framework to provide real-time, interactive data and information to fans. This post summarises a project that involved the AWS Generative AI Innovation Center, AWS Professional Services and the PGA…

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Enhancing extensive neural network training on CPUs with ThirdAI and AWS Graviton.

Artificial intelligence (AI) startup ThirdAI has examined the potential for AWS Graviton3 processors to boost the speed of neural network training on its unique CPU-based deep learning engine. The company developed BOLT, a sparse deep learning engine designed to train and deploy models on standard CPU hardware rather than costly GPUs. The company tested the…

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