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’s AI-powered social listening tool. Streamline customer engagement.

Social Media 85

Social Media Unstructured Data CXM Social Listening 85

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

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

Sprinklr

OCTOBER 7, 2021

The proliferation of digital channels combined with the right technology lets you explore data and insights about competitors in ways you couldn’t before. Manual data collection. The volume and complexity of unstructured data is growing exponentially and brings new challenges. Paid strategy.

Social Listening 102

Social Listening CXM Unstructured Data Social Media 102

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.

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

Ameyo Callversations

APRIL 21, 2022

Moreover, the operation of such complex contact centers is supported by technology. Importance of Contact Center Technology Stack. Contact center technology has come a long way since the early days of call centers. Traditionally, technology has enabled functional teams with time to focus on their core jobs.

Contact Center 52

Contact Center Technology Technology Unstructured Data 52

Lightico

JUNE 6, 2024

This guide explores these technologies, highlighting their strengths and weaknesses, and ultimately positions IDP as the superior solution, especially in the financial services industry , where it can be leveraged with a generative AI co-pilot for unparalleled efficiency and accuracy.

AI 52

AI Unstructured Data Machine Learning Compliance 52

Lightico

APRIL 4, 2024

Here’s where Intelligent Document Processing (IDP) for Auto Finance , elevates the role of the credit analyst, & emerges as a game-changing technology. It employs artificial intelligence, machine learning, and natural language processing to understand the content of documents, going beyond mere digitization.

Finance 75

Finance Artificial Intelligence Data Entry Compliance 75

Lightico

FEBRUARY 11, 2024

This is where AI advances in Intelligent Document Processing (IDP) emerges as a game-changer , offering advanced technological solutions to streamline and optimize these critical processes. This often result in inefficiencies, delays, and increased risk of errors and non-compliance. All with our pre-training.

Data Entry 98

Data Entry Compliance Finance Unstructured Data 98

SugarCRM

APRIL 26, 2021

There’s no replacing human intelligence, primarily when it’s arising from people who know your company and operations inside and out and can offer valuable context and experience when it comes to data analysis. But this is also where technology can work to your advantage. How SugarCRM Helps Smash the Data Silos.

CRM 59

CRM Unstructured Data Finance Artificial Intelligence 59

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

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

JANUARY 11, 2024

Generative AI has the potential to completely change the way we carry out businesses and can tremendously change the way we think about technology. From shaping the buying experience to lifecycle marketing and digital experiences, Machine Learning and AI have entirely changed how marketing departments operate.

AI 32

AI Unstructured Data Predictive Analytics Machine Learning 32

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.

CRM 26

CRM AI Invoicing Predictive Analytics 26

Qualtrics

DECEMBER 12, 2019

We’ve also built-in collaboration technology that allows you to seamlessly tag and chat with others without needing to swap between apps and systems. New Text iQ visualizations — Text iQ uses AI and machine learning to analyze unstructured data for topic and sentiment. AI to make work smarter and more intuitive.

Unstructured Data 20

Unstructured Data Government Machine Learning Compliance 20

SugarCRM

MAY 3, 2021

Most companies fail to realize that all the information collected during routine interactions with customers or their audience base generates enormous amounts of data—that can be leveraged with the right technology. . For most companies using mediocre software, dark data can pose more risk than opportunity. Public Source Data.

Artificial Intelligence 26

Artificial Intelligence Unstructured Data Machine Learning AI 26

Comm100

FEBRUARY 17, 2025

I could start this article with a history of how technology has impacted sports betting. AI systems can process both structured and unstructured data at scale. Its not just following recipes anymore; its learning how to cook based on whats in the pantry and even predicting what ingredients you might need next.

Sports 52

Sports AI Machine Learning Gaming 52

SurveySensum

NOVEMBER 26, 2024

What is Medallia – Platform Overview Medallia is an experience management platform that uses experience data points called signals to help drive growth. This AI-enabled experience management solution helps you identify top customer sentiments from unstructured data with its text analysis and gives you actionable insights.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Machine Learning AI 52