Hodusoft

MARCH 12, 2025

Machine Learning (ML) Machine learning algorithms are used to improve performance over time by learning from historical data. Robotic Process Automation (RPA) RPA can automate repetitive, rule-based tasks, such as data entry, billing, and customer information updates.

Contact Center 52

Contact Center AI Machine Learning Finance 52

Lightico

FEBRUARY 11, 2024

Data Extraction from Loan Applications The auto loan application process, often involves the submission of extensive documentation by applicants, including reams of documents containing personal information, bank details, insurance information, employment details, income statements, and vehicle specifications. All with our pre-training.

Data Entry 98

Data Entry Compliance Finance Unstructured Data 98

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

Lightico

APRIL 4, 2024

Accuracy at Scale – Building a Foundation for Informed Decisions Human error is an inevitable part of manual processes and data entry. IDP eliminates this risk factor by extracting data with exceptional accuracy using advanced algorithms and AI.

Finance 75

Finance Artificial Intelligence Data Entry Compliance 75

Lightico

JUNE 6, 2024

Think data entry, form filling, and basic calculations—tasks that follow a clear set of instructions. 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).

AI 52

AI Unstructured Data Machine Learning Compliance 52

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