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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning Blog

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.

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AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale

AWS Machine Learning Blog

We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Canva uses AWS to power 1.2

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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning Blog

Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers.

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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

Flipboard

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports).

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Don’t miss AWS re:Invent 2024: Big AI announcements await

Dataconomy

Tens of thousands of cloud computing professionals and enthusiasts will gather in Las Vegas for Amazon Web Services’ (AWS) re:Invent 2024 from December 2-6. AWS re:Invent 2024: Generative AI in focus at Las Vegas event Attendees can expect a robust emphasis on generative AI throughout the event, with over 500 sessions planned.

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Streamline grant proposal reviews using Amazon Bedrock

AWS Machine Learning Blog

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. Historically, AWS Health Equity Initiative applications were reviewed manually by a review committee. The team used DynamoDB, a NoSQL database, to store the personas, rubrics, and submitted proposals.

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Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency

AWS Machine Learning Blog

Agent function calling represents a critical capability for modern AI applications, allowing models to interact with external tools, databases, and APIs by accurately determining when and how to invoke specific functions. You can track these job status details in both the AWS Management Console and AWS SDK.

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