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Transforming Service in the Telecom Industry: Why It’s Needed and How to Make It Happen

Up Your Service

Telecommunications companies used to be cash cows: massive, often government-linked monopolies that provided essential connectivity services and reliably churned out cash. A means of calibrating and measuring how good – or bad – is the service you provide. What is your view of service in the telecommunications industry?

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

He is the author and editor of bloggeek.me , which focuses on the ecosystem and business opportunities around WebRTC and telecommunications. Isolating the most important behaviors at the agent and team level reinforcing them consistently thorough training, recognition, calibration, and call coaching. Increasing context.

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Sneak Peek: 2019 Customer Experience Trends

VHT

Spotify, for example, has garnered millions of fans with their music recommendation algorithms that curate Discover Weekly playlists calibrated to individual listeners’ preferences. They site a European telecommunications company that switched to an episode approach for debt collection and decreased bad debt by half.

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Contact Center Quality Assurance: Best Practices Guide

Outsource Consultants

A telecommunications company implemented a detailed scorecard that included metrics such as empathy, problem-solving skills, and compliance adherence. A telecommunications company implemented a predictive quality model that identified agents at risk of performance decline.

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning

Customer churn is a problem faced by a wide range of companies, from telecommunications to banking, where customers are typically lost to competitors. Note that the probability returned by this model has not been calibrated. CalibratedClassifierCV from Scikit-learn can be used to calibrate a model.

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Sunshine Financial ServiceCommitted to Excellence

COPC

As a diversified BPO, Sunshine Financial Service touches many different industries including finance, telecommunications and IT, among others. Calibrate QAs using a quantified approach. Establish structured analysis and improvement processes based on customer feedback. Measure CSAT and DSAT at the program level.

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Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker

AWS Machine Learning

Additionally, optimizing the training process and calibrating the parameters can be a complex and iterative process, requiring expertise and careful experimentation. He covers a wide range of AI/ML use cases for Telecommunication customers and currently focuses on Generative AI, LLMs, and training and inference optimization.