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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold.

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Stéphan Donzé, Founder and CEO at AODocs – Interview Series

Unite.AI

Stphan Donz is the founder and CEO of AODocs, a cloud-native document management platform that transforms enterprise content into actionable intelligence. Unlike legacy systems limited to basic storage, AODocs combines robust document control with workflow automation, enabling businesses to streamline complex processes across industries.

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The Transformative Impact of AI on M&A Dealmaking

Unite.AI

For instance, AI can streamline the organization and categorization of files needed for review by investors or buyers, reducing human error and ensuring compliance with regulatory requirements. AI and and generative AI can automate many of the manual, time-consuming tasks that are critical to the due diligence process.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning Blog

In this post, we focus on one such complex workflow: document processing. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

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Tennr Secures $37M Series B to Revolutionize Healthcare Document Processing with AI

Unite.AI

Tennr is using artificial intelligence (AI) to revolutionize how healthcare organizations manage and process the mountains of documents that flow through their practices daily. These models read, categorize, and respond to the complex, often messy documents that pass between healthcare providers.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Today, were excited to announce the general availability of Amazon Bedrock Data Automation , a powerful, fully managed feature within Amazon Bedrock that automate the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications. billion in 2025 to USD 66.68

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What is voice intelligence and how does it work?

AssemblyAI

Here’s an example of a workflow a company could build to use these models together:  Take a customer support call: The system transcribes the conversation, identifies the customer's issue through NLP, detects frustration through sentiment analysis, categorizes the problem type, and flags important moments for review.