Lightico

FEBRUARY 4, 2025

Auto finance has long been a realm where speed, accuracy, and compliance collide with complexity. This article delves into what Agentic AI is, how AI Agents in Auto Finance operate, and how Intelligent Document Processing (IDP) serves as a cornerstone for this transformation. How does it do this?

Finance 52

Finance AI Compliance Machine Learning 52

SurveySensum

MARCH 10, 2025

Manage Your Risks and Compliances Conversational Analytics helps industries like finance, healthcare, and telecom maintain compliance by monitoring conversations for potential violations. Impact Higher conversion rates, more effective lead nurturing, and a stronger ROI on marketing efforts.

AI 52

AI Text Analytics Compliance Sentiment Analysis 52

SurveySensum

FEBRUARY 24, 2025

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. Both techniques transform raw text into structured data that can be analyzed for patterns and trends.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Lumoa

FEBRUARY 9, 2023

According to Finance Digest , 95% of customer interactions will be managed with AI by 2025. Text Analytics Text Analytics (text mining) includes a set of techniques that structure information arriving in text format— for instance free text customer feedback. upselling to the most loyal customers) Process changes (e.g.

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

Lumoa

JUNE 26, 2023

In fact, several companies, ranging from media to finance, are already investing in an omnichannel customer experience to boost their sales and revenue. But omnichannel strategies utilize data from more than one source, which is often unstructured, fragmented, and not ready for analysis.

Omnichannel 78

Omnichannel Net Promoter Score Customer Experience Social Media 78

Gainsight

APRIL 8, 2019

This is difficult for companies to do because while they have all of this data, it’s often in many different silos and companies have no way to unify it and use it holistically. First of all, the data is collected in many different systems—such as your CRM, marketing automation, finance, support, product analytics, and other solutions.

Technology 45

Technology Technology Structured Data Unstructured Data 45