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Programmatically creating an IDP solution with Amazon Bedrock Data Automation

Programmatically creating an IDP solution with Amazon Bedrock Data Automation

Intelligent Document Processing (IDP) transforms how organizations handle unstructured document data, enabling automatic extraction of valuable information from invoices, contracts, and reports. Today, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users …

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AI agent-driven browser automation for enterprise workflow management

AI agent-driven browser automation for enterprise workflow management

Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems. Data entry and validation tasks …

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Agentic QA automation using Amazon Bedrock AgentCore Browser and Amazon Nova Act

Agentic QA automation using Amazon Bedrock AgentCore Browser and Amazon Nova Act

Quality assurance (QA) testing has long been the backbone of software development, but traditional QA approaches haven’t kept pace with modern development cycles and complex UIs. Most organizations still rely on a hybrid approach combining manual testing with script-based automation frameworks like Selenium, Cypress, and Playwright—yet teams spend significant amount of their time maintaining existing …

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Optimizing LLM inference on Amazon SageMaker AI with BentoML’s LLM- Optimizer

Optimizing LLM inference on Amazon SageMaker AI with BentoML’s LLM- Optimizer

The rise of powerful large language models (LLMs) that can be consumed via API calls has made it remarkably straightforward to integrate artificial intelligence (AI) capabilities into applications. Yet despite this convenience, a significant number of enterprises are choosing to self-host their own models—accepting the complexity of infrastructure management, the cost of GPUs in the …

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AWS AI League: Model customization and agentic showdown

AWS AI League: Model customization and agentic showdown

Building intelligent agents to handle complex, real-world tasks can be daunting. Additionally, rather than relying solely on large, pre-trained foundation models, organizations often need to fine-tune and customize smaller, more specialized models to outperform them for their specific use cases. The AWS AI League provides an innovative program to help enterprises overcome the challenges of building …

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Accelerate Enterprise AI Development using Weights & Biases and Amazon Bedrock AgentCore

Accelerate Enterprise AI Development using Weights & Biases and Amazon Bedrock AgentCore

This post is co-written by Thomas Capelle and Ray Strickland from Weights & Biases (W&B). Generative artificial intelligence (AI) adoption is accelerating across enterprises, evolving from simple foundation model interactions to sophisticated agentic workflows. As organizations transition from proof-of-concepts to production deployments, they require robust tools for development, evaluation, and monitoring of AI applications at …

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How dLocal automated compliance reviews using Amazon Quick Automate

How dLocal automated compliance reviews using Amazon Quick Automate

dLocal, Uruguay’s first unicorn, has established itself as a pioneer in cross-border payments since its founding in 2016. Today, the company operates in over 40 emerging countries, connecting more than two billion consumers with global technology leaders. Operating at this scale requires strict and consistent compliance processes. Each month, thousands of merchant ecommerce websites are …

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Advancing ADHD diagnosis: How Qbtech built a mobile AI assessment Model Using Amazon SageMaker AI

Advancing ADHD diagnosis: How Qbtech built a mobile AI assessment Model Using Amazon SageMaker AI

This post is cowritten with Dr. Mikkel Hansen from Qbtech. The assessment and diagnosis of attention deficit hyperactive disorder (ADHD) has traditionally relied on clinical observations and behavioral evaluations. While these methods are valuable, the process can be complex and time-intensive. Qbtech, founded in 2002 in Stockholm, Sweden, enhances ADHD diagnosis by integrating objective measurements …

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Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models

Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models

Marketing teams face increasing pressure to create engaging campaigns quickly while maintaining brand consistency and creative quality. Traditional marketing campaign creation processes often involve multiple iterations between creative teams, stakeholders, and external agencies, leading to extended timelines and increased costs. The advent and availability of generative models (especially image and video generation ones) has opened …

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