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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Amazon Machine Learning, Amazon Q, Amazon Q Business, Customer Solutions, Generative AI, Technical How-to /

Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative […]

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How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service

Amazon Bedrock, Amazon OpenSearch Service, Customer Solutions /

Handmade.com is a leading hand-crafts product marketplace, offering unique, seller-contributed items to customers around the world. With over 60,000 products in the catalog and some percentage of listings containing basic descriptions that could be improved for better search and search engine optimization (SEO) performance, the need for automation became evident. Manual processing, consuming on average

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How Nippon India Mutual Fund improved the accuracy of AI assistant responses using advanced RAG methods on Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Customer Solutions /

This post is co-written with Abhinav Pandey from Nippon Life India Asset Management Ltd. Accurate information retrieval through generative AI-powered assistants is a popular use case for enterprises. To reduce hallucination and improve overall accuracy, Retrieval Augmented Generation (RAG) remains the most commonly used method to retrieve reliable and accurate responses that use enterprise data

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Optimizing enterprise AI assistants: How Crypto.com uses LLM reasoning and feedback for enhanced efficiency

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Customer Solutions /

This post is co-written with Jessie Jiao from Crypto.com. Crypto.com is a crypto exchange and comprehensive trading service serving 140 million users in 90 countries. To improve the service quality of Crypto.com, the firm implemented generative AI-powered assistant services on AWS. Modern AI assistants—artificial intelligence systems designed to interact with users through natural language, answer

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Build an intelligent eDiscovery solution using Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Best Practices, Customer Solutions, Generative AI, Technical How-to /

Legal teams spend bulk of their time manually reviewing documents during eDiscovery. This process involves analyzing electronically stored information across emails, contracts, financial records, and collaboration systems for legal proceedings. This manual approach creates significant bottlenecks: attorneys must identify privileged communications, assess legal risks, extract contractual obligations, and maintain regulatory compliance across thousands of documents

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How PerformLine uses prompt engineering on Amazon Bedrock to detect compliance violations 

Amazon Bedrock, Amazon Bedrock Prompt Management, Amazon Nova, Artificial Intelligence, AWS Lambda, Compliance, Customer Solutions, Generative AI, Serverless /

This post is co-written with Bogdan Arsenie and Nick Mattei from PerformLine. PerformLine operates within the marketing compliance industry, a specialized subset of the broader compliance software market, which includes various compliance solutions like anti-money laundering (AML), know your customer (KYC), and others. Specifically, marketing compliance refers to adhering to regulations and guidelines set by

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Kyruus builds a generative AI provider matching solution on AWS

Amazon Bedrock, Amazon OpenSearch Service, Customer Solutions, Healthcare /

This post was written with Zach Heath of Kyruus Health. When health plan members need care, they shouldn’t need a dictionary. Yet millions face this exact challenge—describing symptoms in everyday language while healthcare references clinical terminology and complex specialty classifications. This disconnect forces members to become amateur medical translators, attempting to convert phrases like “my

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Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Amazon Nova, Customer Solutions /

This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a powerful way to boost audience engagement and extend content value for content publishers. These short, high-impact clips capture key moments that drive viewer retention, amplify reach across social media, reinforce brand identity, and open new

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How PayU built a secure enterprise AI assistant using Amazon Bedrock

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Customer Solutions, Generative AI /

This is a guest post co-written with Rahul Ghosh, Sandeep Kumar Veerlapati, Rahmat Khan, and Mudit Chopra from PayU. PayU offers a full-stack digital financial services system that serves the financial needs of merchants, banks, and consumers through technology. As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’

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Accelerate generative AI inference with NVIDIA Dynamo and Amazon EKS

Amazon Elastic Kubernetes Service, Customer Solutions /

This post is co-written with Kshitiz Gupta, Wenhan Tan, Arun Raman, Jiahong Liu, and Eiluth Triana Isaza from NVIDIA. As large language models (LLMs) and generative AI applications become increasingly prevalent, the demand for efficient, scalable, and low-latency inference solutions has grown. Traditional inference systems often struggle to meet these demands, especially in distributed, multi-node

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