Remove Big data Remove Interactive Voice Response Remove Self service
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4 AI Trends that will Transform the Telecom Industry in 2019

TechSee

This data is culled from devices, networks, mobile applications, geolocations, detailed customer profiles, services usage and billing data. Dutch telecom KPN analyzes the notes generated by its call center agents, and uses the insights generated to make changes to the interactive voice response (IVR) system.

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Success Story: Using Data Analytics to Improve First Contact Resolution in Healthcare Contact Centers

The Northridge Group

Northridge employed a three-pronged approach to the analysis: Advanced data analytics – Using advanced data analytics and business intelligence tools, we integrated IVR data, call details and claims information across a multi-month timeframe. The data was loaded, cleaned, transformed, and analyzed using SQL tables.

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Add conversational AI to any contact center with Amazon Lex and the Amazon Chime SDK

AWS Machine Learning

In traditional contact centers, one solution for long hold times is enabling self-service options for customers using an Interactive Voice Response system (IVR). Traditional IVRs, however, typically follow a pre-determined sequence, without the ability to respond intelligently to customer requests.

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What’s the difference between customer journey mapping and customer journey analytics?

DMG Consulting

CJA solutions include big-data capabilities that capture, measure, analyze and evaluate the quality and outcome of the customer (or prospect) experience for all customer-facing self-service and agent-assisted interactions, channels and activities. on customer behavior.

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AI is Not Reducing Call Center Agent Employment

Fonolo

My best guess as to why we see agent employment increasing: The universe of transactions that we do remotely keeps expanding (displacing in-person interactions), and this outweighs any contraction we get from automation. More on that here: Nobody Knows if Voice Is Growing or Shrinking. Self-Service Substitution.

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2021: Emerging AI trends in the telecom industry

TechSee

This data is culled from devices, networks, mobile applications, geolocations, detailed customer profiles, services usage and billing data. Using AI, telecoms can implement self-service capabilities that instruct customers how to install and operate their own devices. Robotic process automation (RPA).

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Buddying Up – Putting Virtual Employee Assistants at the Heart of Agent Development

TechSee

Forward-looking customer service organizations have discovered various innovative ways to empower their agents and enhance their value to the organization. With speech analytics, agents are equipped with a wide range of voice-based tools, enabling auto-recognition of accent, gender, and emotion. Team-based models.