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Tag: Amazon QuickSight

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock | Amazon Web Services

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large...

Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services

We believe generative AI has the potential over time to transform virtually every customer experience we know. The number of companies launching generative AI...

Your guide to generative AI and ML at AWS re:Invent 2023 | Amazon Web Services

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! You marked your calendars, you booked...

Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization | Amazon Web Services

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework...

Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights | Amazon Web Services

An established financial services firm with over 140 years in business, Principal is a global investment management leader and serves more than 62 million...

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga? | Amazon Web Services

There’s a kind of magic that surrounds a soccer shot so powerful, it leaves spectators, players, and even commentators in a momentary state of...

Announcing New Tools to Help Every Business Embrace Generative AI | Amazon Web Services

From startups to enterprises, organizations of all sizes are getting started with generative AI. They want to capitalize on generative AI and translate the...

Visualize an Amazon Comprehend analysis with a word cloud in Amazon QuickSight | Amazon Web Services

Searching for insights in a repository of free-form text documents can be like finding a needle in a haystack. A traditional approach might be...

Automatically generate impressions from findings in radiology reports using generative AI on AWS | Amazon Web Services

Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. In a typical workflow, the radiologist supervises,...

Predict vehicle fleet failure probability using Amazon SageMaker Jumpstart | Amazon Web Services

Predictive maintenance is critical in automotive industries because it can avoid out-of-the-blue mechanical failures and reactive maintenance activities that disrupt operations. By predicting vehicle...

Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation | Amazon Web Services

Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 5: Hosting | Amazon Web Services

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we have helped hundreds of...

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