Lightico

FEBRUARY 4, 2025

Auto finance has long been a realm where speed, accuracy, and compliance collide with complexity. Within financial services, this opens the door for more autonomous underwriting, more nuanced compliance checks, and improved risk management. A critical stepping stone to fully agentic workflows is Intelligent Document Processing (IDP).

Finance 52

Finance AI Compliance Machine Learning 52

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 147

Sentiment Analysis Text Analytics ML Machine Learning 147

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.), It illustrates the difference between MDM and CDP. This is one of those questions we still get fairly often.

Unstructured Data 82

Unstructured Data Machine Learning Artificial Intelligence Government 82

Customer Experience Matrix

JUNE 17, 2019

Data warehouses are largely limited to structured data. Data lakes are not unified or easily accessible to non-technical users. Data Management Platforms are limited to summary data about mostly anonymous individuals. CRM and marketing automation systems don’t easily combine data from external sources.

Compliance 83

Compliance Engineering Start-ups Retail 83

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 52

Voice of the Customer VOC Sentiment Analysis Close the Loop 52

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 85

Contact Center Artificial Intelligence CRM Net Promoter Score 85

SurveySensum

MARCH 7, 2025

Text Analytics in Healthcare refers to the process of extracting meaningful insights from unstructured medical text, such as patient records, doctors notes, clinical trial data, and research articles. It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52