Transforming Industries with AI Excellence
With the rapid adoption of intelligent document processing (IDP) by organizations across industries the world over, there has been a deluge of textual data – invoices, business reports, academic research papers, emails and what not? To sift through each page of...
80% of all enterprise data is unstructured. What does that mean? It means, the majority of information floating around (emails, customer reviews, social media posts, images, videos, sensor logs, and...
Data extraction and processing is a prerequisite for any business in this data-driven world. Various technologies may have to be used to extract usable and meaningful data from documents. However,...
The exponential growth of business data reflects the urgent need for automated solutions like intelligent data capture, that can smartly understand, process, and extract valuable information from...
Every year, S&P 500 companies could save up to $920 billion if they completely transition into AI. — “AI Adoption and the Future of Work” by Morgan Stanley And no, that’s not a typo! Companies...
Though optical character recognition (OCR) technology has been around for decades, recent advancements in computing and AI technologies like machine learning (ML), natural language processing (NLP),...
Document processing automation is the process of extracting information from documents by scanning, classifying and categorizing them to support business workflows through specialized software. A...
Almost 75% of business leaders believe that intelligent document automation is critical for achieving enhanced operational efficiency, but only 3% admit that their automation is actually...
In an age where every bit of data is gold (metaphorically, of course), how you process, analyze and interpret it can make or break your business. Though data analysis has been a staple for business...
Did you know that over 80% of business data is basically trapped in unstructured formats like emails, PDFs, scanned forms, and handwritten notes; left unused and most likely, left unused? To put...