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AI Workforce: using AI and Drones to simplify infrastructure inspections

AWS Machine Learning

In the following sections, we explain how AI Workforce enables asset owners, maintenance teams, and operations managers in industries such as energy and telecommunications to enhance safety, reduce costs, and improve efficiency in infrastructure inspections. Security is paramount, and we adhere to AWS best practices across the layers.

APIs 116
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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

They use a highly optimized inference stack built with NVIDIA TensorRT-LLM and NVIDIA Triton Inference Server to serve both their search application and pplx-api, their public API service that gives developers access to their proprietary models. The results speak for themselvestheir inference stack achieves up to 3.1

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.

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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs. We specifically focus on SageMaker with MLflow.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

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Join Us This Summer for WebinarStock!

Callminer

This virtual conference will cover a ranging of topics, expert speakers, partners and customers about better customer and agent experiences through speech analytics. This is a great opportunity to listen, watch, and learn the latest CX analytics information out there! Text and Speech Analytics are Not Created Equal.

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How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning

This two pass solution was made possible by using the ContainsPiiEntities and DetectPiiEntities APIs. After the files are available in text format, Logikcull passes the input text along with the language model, which is English, through Amazon Comprehend by making the ContainsPiiEntities API call.

APIs 121