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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.

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Mastering customer health for complex enterprise relationships

Totango

For enterprise organizations, managing customer relationships is far from simple. For enterprises, a well-constructed customer health score isnt just a nice-to-have; its a strategic asset that empowers teams to manage complexity, sustain customer satisfaction, and scale their customer success efforts.

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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.

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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. So why is there still ongoing debate and angst about customer success not being treated as an equal partner to its sales peers?

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator Creating enterprise-grade, LLM-powered applications and integrations that meet security, governance, and compliance requirements has traditionally demanded the expertise of programmers and data scientists.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

Its sales analysts face a daily challenge: they need to make data-driven decisions but are overwhelmed by the volume of available information. They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels.

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