Author name: aiepicentre

Streamline employee training with an intelligent chatbot powered by Amazon Q Business

Amazon Q, Amazon Q Business, Technical How-to /

Amazon Q Business is a generative AI-powered assistant for interacting with organizational knowledge and enterprise systems. In addition to providing built-in connectors and plug-ins to connect seamlessly to over 40 popular enterprise systems, Amazon Q Business provides the ability to interact seamlessly with other third-party applications using custom plugins. Some of the enterprise systems that […]

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Create a travel planning agentic workflow with Amazon Nova

Advanced (300), Amazon Bedrock, Amazon Nova, Generative AI /

Traveling is enjoyable, but travel planning can be complex to navigate and a hassle. Travelers must book accommodations, plan activities, and arrange local transportation. All these decisions can feel overwhelming. Although travel professionals have long helped manage these complexities, recent breakthroughs in generative AI have made something entirely new possible—intelligent assistants that can understand natural

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as

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Build a scalable containerized web application on AWS using the MERN stack with Amazon Q Developer – Part 1

Amazon Cognito, Amazon DocumentDB, Amazon Elastic Container Service, Amazon Q Developer, Technical How-to /

The MERN (MongoDB, Express, React, Node.js) stack is a popular JavaScript web development framework. The combination of technologies is well-suited for building scalable, modern web applications, especially those requiring real-time updates and dynamic user interfaces. Amazon Q Developer is a generative AI-powered assistant that improves developer efficiency across the different phases of the software development

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Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Customer Solutions /

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Platform Model Serving team is dedicated to developing and managing services that power large language models (LLMs) and other AI workloads within Salesforce. Their main focus

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Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs

Amazon Elastic Kubernetes Service, Amazon OpenSearch Service, Generative AI, Intermediate (200), Technical How-to /

Chat-based assistants powered by Retrieval Augmented Generation (RAG) are transforming customer support, internal help desks, and enterprise search, by delivering fast, accurate answers grounded in your own data. With RAG, you can use a ready-to-deploy foundation model (FM) and enrich it with your own data, making responses relevant and context-aware without the need for fine-tuning

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Scalable intelligent document processing using Amazon Bedrock Data Automation

Amazon Augmented AI, Amazon Bedrock, Amazon Bedrock Data Automation, Amazon Comprehend, Amazon SageMaker AI, Amazon SageMaker Ground Truth, Amazon Textract /

Intelligent document processing (IDP) is a technology to automate the extraction, analysis, and interpretation of critical information from a wide range of documents. By using advanced machine learning (ML) and natural language processing algorithms, IDP solutions can efficiently extract and process structured data from unstructured text, streamlining document-centric workflows. When enhanced with generative AI capabilities,

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Whiteboard to cloud in minutes using Amazon Q, Amazon Bedrock Data Automation, and Model Context Protocol

Amazon API Gateway, Amazon Bedrock Data Automation, Amazon Q, Amazon Q Developer /

Upgrading legacy systems has become increasingly important to stay competitive in today’s market as outdated infrastructure can cost organizations time, money, and market position. However, modernization efforts face challenges like time-consuming architecture reviews, complex migrations, and fragmented systems. These delays not only impact engineering teams but have broader impacts including lost market opportunities, reduced competitiveness,

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Bringing agentic Retrieval Augmented Generation to Amazon Q Business

Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI /

Amazon Q Business is a generative AI-powered enterprise assistant that helps organizations unlock value from their data. By connecting to enterprise data sources, employees can use Amazon Q Business to quickly find answers, generate content, and automate tasks—from accessing HR policies to streamlining IT support workflows, all while respecting existing permissions and providing clear citations.

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Empowering students with disabilities: University Startups’ generative AI solution for personalized student pathways

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Customer Solutions /

This post was co-authored with Laura Lee Williams and John Jabara from University Startups. University Startups, headquartered in Bethesda, MD, was founded in 2020 to empower high school students to expand their education beyond a traditional curriculum. University Startups is focused on special education and related services in school districts throughout the US. After students

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