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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what does and doesn’t work, as well as how to improve their sales, purchasing, and communication processes. Many commercial generative AI solutions available are expensive and require user-based licenses.

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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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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes.

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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

In the same spirit of using generative AI to equip our sales teams to most effectively meet customer needs, this post reviews how weve delivered an internally-facing conversational sales assistant using Amazon Q Business. Not only that, but our sales teams devise action plans that they otherwise might have missed without AI assistance.

Sales 98
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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

AWS Machine Learning

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. For sales representatives, it empowers them with deeper insights, enabling more informed recommendations.

Sales 106
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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning

Amazon Q Business enables users in various roles, such as marketers, project managers, and sales representatives, to have tailored conversations, solve problems, generate content, take action, and more, all through a web-based interface. This connector allows you to query your Gmail data using Amazon Q Business as your query engine.

APIs 118
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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. Sonnet prediction accuracy through prompt engineering. client = boto3.client("bedrock-runtime",

Education 107