AI

Process formulas and charts with Anthropic’s Claude on Amazon Bedrock

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. However, by using Anthropic’s Claude on Amazon Bedrock, researchers and engineers can […]

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Automate IT operations with Amazon Bedrock Agents

IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential communication gaps. Using generative AI for IT operations offers a transformative

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AI tool generates high-quality images faster than state-of-the-art approaches

The ability to generate high-quality images quickly is crucial for producing realistic simulated environments that can be used to train self-driving cars to avoid unpredictable hazards, making them safer on real streets. But the generative artificial intelligence techniques increasingly being used to produce such images have drawbacks. One popular type of model, called a diffusion

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Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is a collection of curated AWS Systems Manager self-service automation runbooks. These

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Create generative AI agents that interact with your companies’ systems in a few clicks using Amazon Bedrock in Amazon SageMaker Unified Studio

Today we are announcing that general availability of Amazon Bedrock in Amazon SageMaker Unified Studio. Companies of all sizes face mounting pressure to operate efficiently as they manage growing volumes of data, systems, and customer interactions. Manual processes and fragmented information sources can create bottlenecks and slow decision-making, limiting teams from focusing on higher-value work.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

Asure, a company of over 600 employees, is a leading provider of cloud-based workforce management solutions designed to help small and midsized businesses streamline payroll and human resources (HR) operations and ensure compliance. Their offerings include a comprehensive suite of human capital management (HCM) solutions for payroll and tax, HR compliance services, time tracking, 401(k)

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

Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. Enterprises generate massive volumes of unstructured data, from legal contracts to customer

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