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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

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TechSee’s New Open Integration Launch Brings Computer Vision AI and Augmented Reality to the Customer Experience Technology Stack

TechSee

Everyone here at TechSee is excited about the launch of our brand new “Open Integration Platform,” a full API platform that puts the visual customer experience front and center. With over 30 million visual sessions logged annually, TechSee is the industry leader in visual service transformation.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Getting Data from your WFM System

Call Design

Most systems now have a web application and APIs that will allow some, if not all, required data to be collected and aggregated via a webservice. But what is the difference in how you get your data and which method is right for your circumstance? WFM systems are no different but accessing this data can vary from team to team. Maintenance.

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Why Audio Capture Vendors Hold your Call Recordings Hostage

OrecX

Some vendors claim it is complicated and time consuming to export your recordings in a playable, industry standard format - which it shouldn't be! With all this being said, you want a recording/audio capture solution that offers unbridled access to your own recorded data (in a standard exportable format) at no extra charge.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 128
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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning

Given the reasoning capabilities of LLMs, we decided to develop an automated per-article brand safety assessment based on industry-standard guidelines to provide advertisers with a real-time, granular view of the brand safety of 20 Minutes content. Amazon DynamoDB serves as the primary database for 20 Minutes articles.