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How to reframe the banking experience: Defining the new norm for banking contact centers

Talkdesk

The reimagining of business places the customer at its forefront and affects every aspect of the banking industry — from human resources and security to sales and marketing. After COVID-19 hit, many business owners felt underserved by their banks and voiced their displeasure by moving their money elsewhere.

Banking 114
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“ID + Selfie” – Improving digital identity verification using AWS

AWS Machine Learning

Amazon Rekognition provides pre-trained facial recognition and analysis capabilities for identity verification to your online applications, such as banking, benefits, ecommerce, and much more. The Amazon Rekognition CompareFaces API. For this, we use the Amazon Rekognition CompareFaces API. The default value is NONE.

APIs 74
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Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

They also estimate the user’s age using facial analysis before allowing access to age-restricted content. However, bad actors increasingly deploy spoof attacks using the user’s face images or videos posted publicly, captured secretly, or created synthetically to gain unauthorized access to the user’s account.

APIs 77
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Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. We run the get_entities() method on the bank document and obtain the entity list in the results. Train an Amazon Comprehend custom entity recognition model.

Banking 74
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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Create accountability on data providers from individual LoBs to share curated data assets that are discoverable, understandable, interoperable, and trustworthy. In this first post, we show the procedures of setting up a data mesh architecture with multiple AWS data producer and consumer accounts. Financial services use case.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning

BloombergGPT: Philippe Donnet GPT-NeoX: Antonio De Lorenzo, Simone Gambarini, Enrico Zanetti FLAN-T5-XXL: John M Forsyth, Christopher K Peters, {empty string} Input: CEO of Silicon Valley Bank? This means maintaining multiple models for multiple tasks like entity extraction, intent classification, sentiment analysis, or question answering.

Finance 96
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Best Software for Speech Analytics

JustCall

Moreover, speech analytics solutions differ from voice recognition as the latter is just concerned with speech transcription whereas the former also delivers emotional analysis and performance insights. Because it includes the most advanced analysis features, Genesys is the ideal tool for market research. What is Speech analytics?