Operationalizing Text Analytics
Operationalizing Text Analytics


One of the key elements of digital transformation for a business is to discover insights from the text generated by various business processes. These firms have text data in the form of documents, reviews, articles, records of text description. However, Businesses today face challenges in deriving insights from their text data. Indium Software’s flagship product ‘teX.ai’ can help businesses derive insights thereby propelling text analytics driven business decisions. teX.ai helps companies analyze their text data across various industries and across a multitude of use cases.

However, just analytics and modeling aren’t enough to realize the value from the text. The text analytics models are required to be operationalized and embedded into the busines process instead of just being a on-off data science experiment. Operationalization of text analytics requires addressing aspects like choosing the right analytics technique, consumable form of text analytics output and embedding into the business processes.

This session will help answer the following:
How text analytics will help businesses?
How to address challenges in Operationalization of text analytics?
How to embed text analytics into the business processes?
Introduction to Indium’s teX.ai product and its features

teX.ai Overview:
teX.ai is an Ai based Text Analytics suite of solutions that offers Text Extraction, Redaction, Summarization & Classification including other solutions like data scraping, validation, clustering, topic modeling, etc. teX.ai helps produce structured data, metadata & insights by extracting data, summarizing information and classifying content. Some key benefits include:
Prioritize and address the focus areas based on topics being discussed in reviews and complaints
Reduce the time in extracting tables from various types of documents
Save time and effort by extracting & categorizing from large volumes of content.


Satish Pala is the Senior Vice President, Digital Solutions at Indium Software, a technology company specializing in Data Engineering, Advanced Analytics and Product Development. With over 2 decades of experience in the IT industry, he has extensive knowledge in sales & solutions across domains. Satish is a passionate technologist with a keen interest in analytics, cloud and next-gen business intelligence.
Satish holds a Bachelor’s degree from the Indian Institute of Technology (IIT-Madras) and is a certified Project Management Professional from PMI.

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