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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

Data synthesis: The assistant can pull relevant information from multiple sources including from our customer relationship management (CRM) system, financial reports, news articles, and previous APs to provide a holistic view of our customers. Lets explore how we built this AI assistant and some of our future plans.

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Finally, the CRM agent was used to get additional information on the customer.

APIs 136
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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

Since that time, thousands of active users have asked hundreds of thousands of questions through Field Advisor, which we have embedded in our customer relationship management (CRM) system, as well as through a Slack application. The following screenshot shows an example of an interaction with Field Advisor.

Sales 112
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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning

This approach is particularly powerful when applied to mission-critical data such as enterprise resource planning (ERP) and customer relationship management (CRM) systems because these contain information about internal processes, supply chain management, and customer interactions.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

They use a highly optimized inference stack built with NVIDIA TensorRT-LLM and NVIDIA Triton Inference Server to serve both their search application and pplx-api, their public API service that gives developers access to their proprietary models. The results speak for themselvestheir inference stack achieves up to 3.1

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Speech Analytics: Garbage in, Garbage Out

OrecX

REAL TIME - Does your recording solution capture call audio in a real-time streaming manner so your transcription and analytics engine can process the call as it happens, or post-call? HIGH FIDELITY - Does your current call recording solution support upper-end audio sample format rates like G.7111 7111 and OPUS?

Analytics 127
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2025 Guide to the Omnichannel Contact Center: How to Drive Success with the Right Software, Strategy, and Solutions

Calabrio

Omnichannel contact center software is the engine that powers this unified view. In the meantime, if you follow the right best practices, you can open up a competitive advantage, turning your contact center into not only a hub for quality service but also an engine of growth. are necessary to create a seamless flow of information.