Remove products liveness-detection
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Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. Face Liveness overview Today, customers detect liveness using various solutions.

APIs 78
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Then there are the times that others are talking in a language that’s not your first language, and you’d love to have a live translation of what people are saying to make sure you understand correctly. All of this, and more, is now possible with our newest sample solution, Live Meeting Assistant (LMA).

APIs 95
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Contact Center Trends 2024: Our Predictions

Fonolo

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. These AI-driven virtual assistants can understand – and even learn – human language and detect sentiment too.

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How do interaction analytics solutions determine emotion or sentiment in conversations?

DMG Consulting

Answer: Emotion detection and sentiment analysis in interaction analytics (IA) solutions examine events in live or recorded conversations and extract insights from the nuances in verbal and written communications. Interaction events may be a customer’s request to escalate the call to a manager or to cancel a product or service.

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Amazing Business Radio: Gabriele Masili

ShepHyken

Customer success is about proactively helping customers to get the most value out of a product or service, while customer support is about reactively solving customer issues. AI needs to be able to recognize when it should transfer the customer to a live agent. AI comes in many forms (chatbots, voice systems on phones, etc.)

Chatbots 201
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What Are Large Language Models (LLMs)?

CSM Magazine

Large language models can analyze customer data and interactions to provide personalized product recommendations and offers, improving the overall customer experience. Sentiment Analysis LLMs are equipped with sentiment analysis capabilities, enabling them to detect the tone and emotion behind customers’ messages.

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Build a news recommender application with Amazon Personalize

AWS Machine Learning

Systems have to detect shifts and adapt recommendations accordingly. The Trending Now recipe complements this by detecting rising trends and popular news stories in real time across all users. Amazon Personalize can natively auto detect and recommend new articles ingested into the items dataset every 2 hours.