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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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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 109
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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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How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

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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",

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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 117
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The Essential Guide to WFM – Key Features to Look For

CCNG

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. If your platform produces amazing forecasts but no aligned schedules, then you likely have a data analytics platform and not a WFM platform.