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Build a custom UI for Amazon Q Business

AWS Machine Learning - AI

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. The following diagram illustrates the solution architecture. userMessage – An end-user message in a conversation.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure. Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow.

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The (Net)Flow That Kentik Makes Go: Know Your Traffic Flow Data Protocols

Kentik

NetFlow” may be the most common short-hand term for this network flow data, but that doesn’t mean it’s the only important protocol for the exchange of metadata related to flows transiting network infrastructure. So to help provide clarity, we’ve listed below names and descriptions for the main flow-data protocols supported by Kentik Detect.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. Additionally, you can access device historical data or device metrics.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on.

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Podcast with Kentik CEO Avi Freedman & Jim Metzler

Kentik

Addressing the visibility gaps left by legacy appliances in centralized data centers, Kentik NPM uses lightweight software agents to gather performance metrics from real traffic wherever application servers are distributed across the Internet. So in order to really have a network time machine, you need to be able to keep all that data.

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The Why and How of Interface Classification

Kentik

While that’s a key aspect of our mission, our unique big data platform for capturing, unifying, and analyzing network data actually supports a broader scope. Now that we understand what Interface Classification is we can look at various scenarios to see how you can use it when querying your network data in Kentik Detect.

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