Today’s guest is the great and brilliant Ram Sukumar, Co-Founder and CEO of Indium Software, a Technology Solutions company with deep expertise in Digital and QA services…

Text analytics tools have found much demand from customers across different industry segments because of the value it provides in understanding what customers need and how operations can be improved.

Irrespective of your company’s performance, it is imperative to analyse all available data to stay competitive in the market. Tremendous volume and variety of data is generated every day in the form of text data.

The text analytics tool can process documents like PAN Card, Bank Statements, Passport, Voter ID, Aadhar, CIBIL score report etc. and extract information relevant to credit worthiness assessment in real-time.

Data – dubbed as the new oil – demands tremendous attention in ways of collecting, collating, maintaining, and analyzing.

This seems to be really concerning, and if businesses are on their way to flourishing by analysing only 20% of their data, then a lot can be made out of the remaining 80%. Also, out of this, around 50% of the unstructured data is text.

There are 9,216 startups and companies listed in Crunchbase today who are relying on machine learning for their main and ancillary applications, products, and services, a 6% increase from 2019’s 8,705 startups & companies.

One of the key aspects of digital transformation is digitization of legacy documents and analytics on the text content.

One of the key aspects of digital transformation is digitization of legacy documents and analytics on the text content.

Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP).

Indium Software, a niche technology solutions company, officially launches its flagship product ‘teX.ai ^TM’ — an Ai based Text Analytics suite of solutions to offer impeccable data scraping, validation, classification, summarization, clustering, topic modeling and a lot more.