Tag: IAM
Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer | Amazon Web Services
The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually...
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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services
AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...
Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock | Amazon Web Services
Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Their popularity stems...
Enhance Amazon Connect and Lex with generative AI capabilities | Amazon Web Services
Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges.
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Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth | Amazon Web Services
Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos....
Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services
Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....
Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock | Amazon Web Services
Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs...
What will the future of Cybersecurity bring?
Our world is reliant on technology. It shapes and influences nearly everything we do—from the moment we wake up until we go to sleep....
Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3 | Amazon Web Services
In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at...
Integrate QnABot on AWS with ServiceNow | Amazon Web Services
Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent to triage an issue,...
Build a movie chatbot for TV/OTT platforms using Retrieval Augmented Generation in Amazon Bedrock | Amazon Web Services
Improving how users discover new content is critical to increase user engagement and satisfaction on media platforms. Keyword search alone has challenges capturing semantics...
Train and host a computer vision model for tampering detection on Amazon SageMaker: Part 2 | Amazon Web Services
In the first part of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at...
Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 1 | Amazon Web Services
With the advent of generative AI, today’s foundation models (FMs), such as the large language models (LLMs) Claude 2 and Llama 2, can perform...