Machine Learning and Structured Data

Supervised vs. Unsupervised Learning: What’s the Difference (Plus Use Cases)

Uniphore

AUGUST 31, 2021

Supervised learning is like purchasing a language book. For machine learning, AI also learns to mimic a specific task, thanks to fully labeled data. Each training set is human-marked with the answer AI should be getting, allowing the machine to compare new input with the labeled sets. Unsupervised Learning.

Artificial Intelligence

Artificial Intelligence Machine Learning Structured Data AI

A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). Machine Learning (ML) Integration: Stay ahead of the curve.

Sentiment Analysis

Sentiment Analysis Text Analytics Machine Learning ML

Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT

Sprinklr

JULY 12, 2021

Employees have the opportunity to work with the core of Sprinklr’s technology — our proprietary AI engine built with sophisticated deep machine learning algorithms. At any given instance, this AI engine processes millions of unstructured and structured data points ingested from myriads of channels and software applications.

CXM

CXM Artificial Intelligence Structured Data Machine Learning

Webinars

How Retailers Are Transforming Customer Experiences with Data & AI

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Speech Analytics and AI Is a Winning Combination

DMG Consulting

FEBRUARY 25, 2019

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics.

AI

AI Text Analytics Predictive Analytics Machine Learning

Confirmit Genius: Mining for Hidden Truths in Free-form Content

Confirmit

JUNE 6, 2018

Confirmit Genius is an advanced Text Analytics platform that uses the latest Machine Learning technologies to help you draw meaning from unstructured content. With Confirmit Genius, you can build your own advanced feedback programs that deliver higher quality results much faster than traditional feedback techniques.

VOE

VOE Text Analytics Structured Data Voice of the Employee

Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

FEBRUARY 13, 2020

. “So we’ve seen companies who have basically re-centralized their data into cloud data warehouses, and that is the source of truth. It’s a system of record, and they’re marrying together both the unstructured data and the structured data to do really interesting marketing.”.

Unstructured Data

Unstructured Data Omnichannel Structured Data Machine Learning

6 Reasons Why Unstructured Data Is Key to an Effective Retention Program

VOZIQ

APRIL 21, 2022

This information includes customer data captured from contact center agent notes, surveys, emails, chats, and web forms. Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with. It enables you to only tackle the identifiable risk.

Unstructured Data

Unstructured Data Contact Center Text Analytics Customer Retention

11 best Voice of the Customer tools to listen to your customers effectively

SurveySensum

MARCH 3, 2022

This automated text extraction process helps you structure your data and identify critical texts, tags, etc., in seconds using machine learning. Semantria Storage and Visualization (SSV) allows you to collect, store, and analyze texts to generate reports and structure data to identify trends. . Integrations.

Voice of the Customer

Voice of the Customer Sentiment Analysis VOC Close the Loop

DMG Consulting Releases 2017 – 2018 Speech Analytics Product and Market Report

DMG Consulting

OCTOBER 18, 2017

Currently, there are two categories of speech analytics vendors in the market: a large group of competitors who sell basic applications that focus on identifying key words and phrases, and a smaller set of feature-rich solution providers who offer extensive business intelligence platforms that provide enterprise-level data.

Text Analytics

Text Analytics Contact Center Artificial Intelligence Structured Data

Catch up with New at Intercom, our fall product launch event

Intercom, Inc.

OCTOBER 13, 2022

It acts as a customer hub with machine learning-powered content suggestions. We have a space called help for customers to get help themselves where they can search and browse your whole knowledge base with machine learning-powered content suggestions. For example, we have a space called home that you see here.

Start-ups

Start-ups Machine Learning Engineering Customer Satisfaction

Lesson #4: Text Analytics Is More Than A VoC Feature; It's An Absolute Must-Have

PeopleMetrics

JULY 31, 2018

Unlike structured data, which are easy to display graphically or in tables, each piece of unstructured data is different—unique to each customer who took the time to provide it. There are two options to handle unstructured feedback: humans or machines. Sean holds a Ph.D.

Text Analytics

Text Analytics VOC Unstructured Data CEM

Everything You Need to Know about Text Analytics

Lumoa

JANUARY 23, 2018

Text analytics includes a set of techniques that structure information arriving in text format— in this case, free text customer feedback. The purpose is to convert unstructured text into meaningful structured data to support business analysis and decision making. Topic analysis reveals topics that are most talked about.

Text Analytics

Text Analytics Sentiment Analysis NPS Net Promoter Score

A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Text Analytics Text Analytics (text mining) includes a set of techniques that structure information arriving in text format— for instance free text customer feedback.

Net Promoter Score

Net Promoter Score Customer Experience B2C Social Media

The Contact Center Stack – Here’s what you need to build a modern contact center

Taylor Reach Group

SEPTEMBER 29, 2020

And don’t forget Automation, Artificial Intelligence, and machine learning – all to be considered. Third, your CRM should provide enhanced data reporting and retrieval through automated-surfacing of insights and an optimized data storage and retrieval structure.

Contact Center

Contact Center Artificial Intelligence CRM Net Promoter Score

Customer Experience Strategy: An A to Z Glossary

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score

Net Promoter Score Customer Experience B2C CEM

A to Z Guide to Customer Experience Definitions and Terms

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

Net Promoter Score

Net Promoter Score Customer Experience B2C CEM

Addressing metrics gaps between bot-led and human-led service

Comm100

AUGUST 21, 2018

Chatbot “training” is possible in the sense that chatbots can use machine learning to convert user interactions into structured data. Comm100’s chatbot uses Natural Language Processing (NLP), which allows your chatbot to “learn” from examples that you provide it, and use these examples to improve its algorithm.

Mystery Shopping

Mystery Shopping Mystery Shopper Net Promoter Score Customer Service

Addressing metrics gaps between bot-led and human-led service

Comm100

AUGUST 21, 2018

Chatbot “training” is possible in the sense that chatbots can use machine learning to convert user interactions into structured data. Comm100’s chatbot uses Natural Language Processing (NLP), which allows your chatbot to “learn” from examples that you provide it, and use these examples to improve its algorithm.

Mystery Shopping

Mystery Shopping Mystery Shopper Net Promoter Score Customer Service

Tech Customer Success

Supervised vs. Unsupervised Learning: What’s the Difference (Plus Use Cases)

A Guide to Choosing the Right Text Analysis Software for Your Business

Webinars

Trending Sources

Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT

Webinars

Speech Analytics and AI Is a Winning Combination

Confirmit Genius: Mining for Hidden Truths in Free-form Content

Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

6 Reasons Why Unstructured Data Is Key to an Effective Retention Program

11 best Voice of the Customer tools to listen to your customers effectively

DMG Consulting Releases 2017 – 2018 Speech Analytics Product and Market Report

Catch up with New at Intercom, our fall product launch event

Lesson #4: Text Analytics Is More Than A VoC Feature; It's An Absolute Must-Have

Everything You Need to Know about Text Analytics

A to Z Guide to Customer Experience Definitions and Terms (Updated)

The Contact Center Stack – Here’s what you need to build a modern contact center

Customer Experience Strategy: An A to Z Glossary

A to Z Guide to Customer Experience Definitions and Terms

Addressing metrics gaps between bot-led and human-led service

Addressing metrics gaps between bot-led and human-led service

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