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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

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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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

In this post, we focus on one such complex workflow: document processing. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

APIs 82
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Answer questions from tables embedded in documents with Amazon Q Business

AWS Machine Learning

A large portion of that information is found in text narratives stored in various document formats such as PDFs, Word files, and HTML pages. Some information is also stored in tables (such as price or product specification tables) embedded in those same document types, CSVs, or spreadsheets.

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Guest Post: Here Are The Do’s & Don’ts of Social Media Customer Service

ShepHyken

Compile the most frequently asked questions in a shared document, determine the best possible answers, and distribute the document to your customer service team. . This document will act as a single source of truth your team can reference. Don’t engage with spam accounts . 4 Don’ts of Social Media Customer Service .

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Customer Success Needs to Grow (Up)

Speaker: Peter Armaly - Senior Director and Advisor of Customer Success at Oracle

Customer success is a well-established practice in the enterprise business world (70% of companies have a dedicated team, according to TSIA) and the benefits it delivers to customers are real and well-documented. Demand more accountability of the practice. With revenue, comes accountability. It’s time to go the distance.

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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning

Google Drive supports storing documents such as Emails contain a wealth of information found in different places, such as within the subject of an email, the message content, or even attachments. Types of documents Gmail messages can be sorted and stored inside your email inbox using folders and labels.

APIs 110
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Scalable intelligent document processing using Amazon Bedrock

AWS Machine Learning

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The Anthropic Claude 3 Haiku model then processes the documents and returns the desired information, streamlining the entire workflow.

APIs 122