Customer Think

SEPTEMBER 9, 2021

InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment's XI Platform.

Unstructured Data 52

Unstructured Data CXM ML Machine Learning 52

Uniphore

SEPTEMBER 22, 2021

Interaction analytics takes unstructured data from customer interactions across multiple channels and harnesses it to let you understand the true voice of the customer. Leading solutions will use machine learning to guide the technology in recognizing and classifying elements. Intent recognition and analysis.

Unstructured Data 100

Unstructured Data Contact Center Machine Learning Compliance 100

Customer Experience Matrix

SEPTEMBER 19, 2016

In the transition from campaign management to journey orchestration, marketers had to develop tools to track individuals over time, to personalize messages to those individuals, identify and optimize individual journeys, act on complete data in real time, and to incorporate masses of unstructured data.

Technology 0

Technology Technology Unstructured Data Machine Learning 0

Customer Experience Matrix

MARCH 3, 2019

Informatica lays out the contrast quite nicely: they characterize MDM as limited to highly governed, structured data that delivers the “best version of the truth” about master objects (customers, products, supplier, etc.), These are not found in all CDPs, which is probably one reason Informatica selected AllSight in particular.

Unstructured Data 82

Unstructured Data Machine Learning Artificial Intelligence Government 82

Hodusoft

OCTOBER 17, 2024

Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Natural Language Processing (NLP) NLP enables machines to understand and interpret human language in a meaningful way.

Omnichannel 52

Omnichannel AI Customer Service Contact Center 52

Zendesk

DECEMBER 7, 2021

Artificial intelligence (AI) customer experience uses technology—such as machine learning, chatbots, and conversational UX—to make every touchpoint as efficient and hassle-free as possible. Analyze customer data to predict and reduce churn. But what exactly does it mean to use AI throughout the customer journey?

AI 97

AI Customer Experience Artificial Intelligence Machine Learning 97

Lumoa

OCTOBER 31, 2021

Tailored for any device, respondents can engage from anywhere through proprietary machine-learning technology that automatically detects question types and answer options, translating them into an online survey that can be reviewed and customized.

VOE 78

VOE VOC Unstructured Data Artificial Intelligence 78

Customer Experience Matrix

OCTOBER 29, 2017

Its architecture spans what I usually call the data, decision, and delivery layers, although Flytxt uses different language. The intelligence (decision) layer provides rules, recommendations, visualization, packaged and custom analytics, and reporting.

Unstructured Data 84

Unstructured Data Machine Learning Manufacturing Touchpoint 84

SurveySensum

FEBRUARY 24, 2025

Machine Learning Models : Training algorithms on labeled datasets to predict sentiment based on language patterns. Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Lightico

JULY 26, 2023

The digitization of the financial services sector has generated vast amounts of unstructured data in the form of documents, either PDF or images, and volumes of data that can hold valuable insights for businesses, and help make better decisions. However, extracting meaningful information from this data has been a challenge.

Artificial Intelligence 52

Artificial Intelligence Unstructured Data AI Data Entry 52

Intercom

MAY 31, 2023

Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.

AI 72

AI Machine Learning Artificial Intelligence Unstructured Data 72

Sprinklr

OCTOBER 7, 2021

Manual data collection. The volume and complexity of unstructured data is growing exponentially and brings new challenges. Spending time on manual data collection means less time for analysis and insights and creates delays in communicating those insights to key stakeholders. Paid strategy.

Social Listening 102

Social Listening CXM Unstructured Data Social Media 102

Execs In The Know

MARCH 4, 2022

By aggregating structured and unstructured data from every customer touchpoint, customer journey analytics provides a comprehensive, end-to-end view of the journey your customers take from the first introduction to post-purchase experiences. Choose a customer journey analytics solution that learns over time. About CallMiner.

Customer Journey Map 98

Customer Journey Map Touchpoint Machine Learning Unstructured Data 98

Lightico

JUNE 6, 2024

IDP (Intelligent Document Processing): The Mastermind IDP elevates automation further by combining OCR’s text recognition with machine learning (ML) and natural language processing (NLP). IDP Pros: Intelligent Automation : Leverages ML and NLP to understand document context, extracting meaningful data with high accuracy.

AI 52

AI Unstructured Data Machine Learning Compliance 52

SurveySensum

MARCH 3, 2025

Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights. Machine Learning-Based Analysis : Uses AI models trained on labeled datasets to classify sentiment accurately. Lets find out!

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

Execs In The Know

FEBRUARY 16, 2025

So, how do we turn data into compelling, human stories? Really Listen: Data isn’t just about what customers do; it’s about what they say and feel. Dive into the messy, unstructured data: the reviews, the comments, the support tickets. To stay ahead, we turned to data.

Unstructured Data 52

Unstructured Data Machine Learning Social Media NPS 52

Execs In The Know

FEBRUARY 17, 2025

So, how do we turn data into compelling, human stories? Really Listen: Data isn’t just about what customers do; it’s about what they say and feel. Dive into the messy, unstructured data: the reviews, the comments, the support tickets. To stay ahead, we turned to data.

Unstructured Data 52

Unstructured Data Machine Learning Social Media NPS 52

Lightico

FEBRUARY 11, 2024

IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.

Data Entry 98

Data Entry Compliance Finance Unstructured Data 98

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. But for many companies, adding AI to analyzing unstructured data is not always required.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

Qualtrics

OCTOBER 9, 2020

Unstructured data is becoming an increasingly important part of a successful listening program. CX leaders all recognize the importance of a robust structured VoC data collection program. First off, can you explain what unstructured data is? social media comments , user reviews, etc.).

Unstructured Data 20

Unstructured Data Sentiment Analysis CX Machine Learning 20

Customer Experience Matrix

MARCH 3, 2017

CaliberMind has embedded a third-party data load and transformation tool to manage such inputs. The system stores structured data in Redshift, semi-structured data in MongoDB, and unstructured data in S3. Its data unification and access features clearly qualify it as a Customer Data Platform.

B2B 48

B2B Unstructured Data Machine Learning Structured Data 48

VOZIQ

NOVEMBER 13, 2022

For many leading recurring revenue businesses, AI is transforming retention by leveraging customer data, advanced analytics and machine learning to extract actionable intelligence and drive multichannel retention actions. For example, agent notes, survey responses, support chats, service requests, etc. Predictive Modeling.

AI 52

AI Unstructured Data Customer Retention Machine Learning 52

Lightico

APRIL 4, 2024

It employs artificial intelligence, machine learning, and natural language processing to understand the content of documents, going beyond mere digitization. Lightico’s Intelligent Document Processing (IDP) for Auto Lending Lightico’s IDP solution is a powerful tool that can significantly enhance the auto lending process.

Finance 75

Finance Artificial Intelligence Compliance Data Entry 75

SurveySensum

DECEMBER 24, 2024

Analyze and identify top customer complaints and sentiments and recurring patterns, automatically using machine learning and AI-enabled text and sentiment analytics. Analyze customer sentiments and extract actionable insights from unstructured data with SurveySensums AI-enabled text and sentiment analysis!

Sentiment Analysis 52

Sentiment Analysis NPS AI Start-ups 52

SugarCRM

APRIL 26, 2021

But Sugar’s tools go one step further, analyzing and interpreting the data that’s available to you and making predictions about it so you can decide your company’s next course of action. So how does HD-CX help to smash the data silos?

Unstructured Data 59

Unstructured Data CRM Finance Artificial Intelligence 59

SurveySensum

SEPTEMBER 11, 2024

We are so used to Netflix’s recommendations, the tailored playlist of Spotify, shopping recommendations of Amazon, etc, so much so that according to McKinsey 35% of Amazon and 75% of Netflix recommendations are provided by machine learning algorithms.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

SurveySensum

SEPTEMBER 5, 2024

Credit risk assessment : AI improves credit risk management by evaluating the creditworthiness of customers by not only assessing traditional data but also alternative data like spending patterns, social media activities, and geolocation. Personalization But With A Twist Of AI Every CX strategy includes personalization.

Close the Loop 52

Close the Loop Customer Experience Omnichannel Machine Learning 52

SugarCRM

MAY 3, 2021

For most companies using mediocre software, dark data can pose more risk than opportunity. But there’s light at the end of this data black hole: Artificial intelligence (AI) developers learned how to leverage unstructured data to generate predictive capabilities, helping companies utilize the unused data.

Artificial Intelligence 26

Artificial Intelligence Unstructured Data Machine Learning AI 26

Customer Experience Matrix

MAY 11, 2016

It does this using magic machine learning to determine which paths have the highest combination of frequency, exclusivity, and correlation to a goal (a user-specified event). And on automated tools to help load unstructured data and clean dirty data. And on connectors to push data out to other systems.

Unstructured Data 48

Unstructured Data Engineering Machine Learning Technology 48

SugarCRM

JANUARY 11, 2024

From shaping the buying experience to lifecycle marketing and digital experiences, Machine Learning and AI have entirely changed how marketing departments operate. Info generated by text, images, videos, and other types of data that usually don’t fit into regular databases can now be processed with the help of generative AI.

AI 32

AI Unstructured Data Predictive Analytics Machine Learning 32

Ameyo Callversations

APRIL 21, 2022

The current breed of databases and storage devices will fall short of these capabilities, and contact centers will need modern data analysis tools to transform the unstructured data and gather meaningful insights.

Contact Center 52

Contact Center Technology Technology Unstructured Data 52

SurveySensum

MARCH 3, 2022

A VOC tool is software that allows you to collect feedback and generate in-depth analysis reports from unstructured data. The ultimate aim of using it is to derive insights, make data-driven business decisions, and create exceptional customer experiences. . in seconds using machine learning. Verint ForeSEE.

Voice of the Customer 52

Voice of the Customer VOC Sentiment Analysis Close the Loop 52

SugarCRM

OCTOBER 24, 2023

However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception. Today’s CRM tools have been infused with predictive analytics and machine learning capabilities. Generative CRM: What Is It?

CRM 26

CRM AI Invoicing Predictive Analytics 26

Qualtrics

DECEMBER 12, 2019

New Text iQ visualizations — Text iQ uses AI and machine learning to analyze unstructured data for topic and sentiment. You are now able to provide new, easy-to-interpret visualizations to more people across the organization.

Unstructured Data 20

Unstructured Data Government Machine Learning Compliance 20

Hodusoft

MARCH 12, 2025

Machine Learning (ML) Machine learning algorithms are used to improve performance over time by learning from historical data. AI-powered contact centers can leverage machine learning algorithms to detect fraud based on anomalies in transaction histories, identity details, and application patterns.

Contact Center 52

Contact Center AI Machine Learning Finance 52

Sprinklr

OCTOBER 20, 2021

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Learn more about Sprinklr Unified Care. Brands are awash in an ocean of unstructured data.

Social Media 85

Social Media CXM Unstructured Data Social Listening 85

PeopleMetrics

JULY 31, 2018

The question then becomes this: how do we make sense out of these unstructured comments from customers? 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. Humans (Open-Ended Coding).

Text Analytics 79

Text Analytics VOC Unstructured Data CEM 79