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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning

With the rise of powerful foundation models (FMs) powered by services such as Amazon Bedrock and Amazon SageMaker JumpStart , enterprises want to exercise granular control over which users and groups can access and use these models. We provide code examples tailored to common enterprise governance scenarios.

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Enterprise Contact Center Solutions: A Game Changer

NobelBiz

With the growing customer expectations, enterprises are under great pressure to deliver exceptional service. At the core of this modern transformation lie Enterprise Contact Center Solutions , sophisticated platforms designed to streamline communication, enhance productivity, and drive customer satisfaction.

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DMG Consulting Releases 2023 – 2024 Enterprise Workforce Engagement Management Product and Market Report

DMG Consulting

The Report explores how workforce engagement management (WEM) suites are transforming into next-gen platforms that support the increasingly complex and varied requirements of contact centers and all other customer-facing departments that leverage them to improve the customer experience (CX), employee experience (EX), and productivity.

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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support. You can use this post as a reference to build secure enterprise applications in the Generative AI domain using AWS services.

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Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. This approach can give your teams access to image editing foundation models (FMs) using Amazon Bedrock. file: window._config

APIs 82
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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 87
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Streamline Sales Processes with Enterprise CPQ

Cincom

Managing sales processes across large organizations is complex. From coordinating teams to configuring quotes, enterprise companies face immense challenges keeping sales operations running smoothly. Centralized Pricing Management: Pricing data gets consolidated within CPQ. Related: What Is Configure Price Quote Software?