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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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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.

Sales 99
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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. The connector supports authentication using a Google service account.

APIs 117
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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations).

Sales 125
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Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

Align CPQ with Your Sales Strategy A CPQ system that operates in isolation from the broader sales strategy leads to misaligned workflows, inconsistent pricing approvals, and disconnected customer interactions. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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

AWS Machine Learning

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",