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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.

APIs 95
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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 95
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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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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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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. We provide the service account with authorization scopes to allow access to the required Gmail APIs.

APIs 105
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Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs

AWS Machine Learning

As an example, time-series forecasting allows retailers to predict future sales demand and plan for inventory levels, logistics, and marketing campaigns. In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting.

APIs 105
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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Finally, ODAP was designed to incorporate cutting-edge analytics tools and future AI-powered insights.