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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning - AI

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

AWS 107
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Scaling Kafka at Honeycomb

Honeycomb

When you send telemetry into Honeycomb, our infrastructure needs to buffer your data before processing it in our “retriever” columnar storage database. Using Apache Kafka to buffer the data between ingest and storage benefits both our customers by way of durability/reliability and our engineering teams in terms of operability.

Storage 145
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Netflix at AWS re:Invent 2019

Netflix Tech

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 15
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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning - AI

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. Deploying the QnABot solution builds the following environment in the AWS Cloud.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Reduced operational overhead – The EMR Serverless integration with AWS streamlines big data processing by managing the underlying infrastructure, freeing up your team’s time and resources. This enhances the overall security of your data processing pipelines and helps you maintain better control over the access to your AWS resources.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries.

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Netflix at AWS re:Invent 2019

Netflix Tech

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 40