Amazon Machine Learning

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, AWS Customer, Customer Solutions, Generative AI /

Noodoe is a global leader in EV charging innovation, offering advanced solutions that empower operators to optimize their charging station operations and provide exceptional user experiences. Their universal charging stations are compatible with all EV brands and feature intuitive payment options, including credit cards and Apple Pay. Powered by the Noodoe EV OS cloud management […]

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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Retail /

Generative AI revolutionizes business operations through various applications, including conversational assistants such as Amazon’s Rufus and Amazon Seller Assistant. Additionally, some of the most impactful generative AI applications operate autonomously behind the scenes, an essential capability that empowers enterprises to transform their operations, data processing, and content creation at scale. These non-conversational implementations, often in

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AWS machine learning supports Scuderia Ferrari HP pit stop analysis

Amazon Machine Learning, Artificial Intelligence, Customer Solutions, Migration, Security /

As one of the fastest sports in the world, almost everything is a race in Formula 1® (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in the pit is lost time in

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Vxceed secures transport operations with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Customer Solutions /

Vxceed delivers SaaS solutions across industries such as consumer packaged goods (CPG), transportation, and logistics. Its modular environments include Lighthouse for CPG demand and supply chains, GroundCentric247 for airline and airport operations, and LimoConnect247 and FleetConnect247 for passenger transport. These solutions support a wide range of customers, including government agencies in Australia and New Zealand.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

Amazon Machine Learning, Artificial Intelligence, Generative AI, Technical How-to /

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possess internally. These tools are integrated

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

Advanced (300), AI/ML, AIML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Generative AI, Responsible AI /

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. However, amidst the excitement, critical questions around the responsible use and implementation of such powerful technology have started to emerge. Although responsible AI has been a key focus for the industry over

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InterVision accelerates AI development using AWS LLM League and Amazon SageMaker AI

Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Amazon SageMaker JumpStart, Amazon SageMaker Studio, Foundational (100), Partner solutions, Technical How-to, Thought Leadership /

Cities and local governments are continuously seeking ways to enhance their non-emergency services, recognizing that intelligent, scalable contact center solutions play a crucial role in improving citizen experiences. InterVision Systems, LLC (InterVision), an AWS Premier Tier Services Partner and Amazon Connect Service Delivery Partner, has been at the forefront of this transformation, with their contact

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AI/ML, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Customer Solutions, Generative AI, Natural Language Processing, Technical How-to /

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. To address these challenges, a

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Protect sensitive data in RAG applications with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Responsible AI, Security /

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business data is crucial because this information

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Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Advanced (300), Amazon Bedrock, Amazon Cognito, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, AWS Amplify, AWS Cost Explorer, AWS Lambda, AWS Trusted Advisor /

AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively. The

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