Webinar replay: How carriers are leveraging large language models (LLMs) and automation to drive better decisions
Watch Now
  Everest Group IDP
             PEAK Matrix® 2022  
Indico Named as Major Contender and Star Performer in Everest Group's PEAK Matrix® for Intelligent Document Processing (IDP)
Access the Report

BLOG

Looking at unstructured data management through an artificial intelligence lens

October 25, 2021 | Artificial Intelligence, Unstructured Data

Back to Blog

When folks in IT circles hear the term “unstructured data management,” they likely think about how best to store the mountains of unstructured data in their organizations. But there’s another aspect to unstructured data management that relates to how companies can best automate, analyze and visualize unstructured data in order to extract business value from it.

It’s a huge issue because companies have huge amounts of unstructured data; estimates put it at 80% to 85% of all data in most organizations. So, yes, that does create significant storage challenges, including how best to classify the data, determine how frequently it’s accessed and, consequently, the most cost-effective place to store it. Plenty has been written about those topics, including these fine pieces at SearchStorage and ComputerWeekly.

But one of the key reasons for storing unstructured data in the first place is because it’s becoming more and more valuable. That’s because artificial intelligence tools are emerging that help companies extract value from unstructured data. (To learn more about unstructured vs. structured data, check out this previous post.)

 

Tapping into unstructured data

Previously, unstructured data was beyond the reach of business intelligence tools, which generally can only ingest and analyze highly structured data, such as that in a relational database. The advent of AI is changing that equation, giving rise to a new form of unstructured data management, one that has to do with how to turn unstructured data into a structured format that business intelligence and analytics tools can understand – effectively enabling them to analyze unstructured data.

Tools such as the Indico Unstructured Data Platform employ AI technologies including deep learning, machine learning, transfer learning and natural language processing. It is also built on top of a database of some 500 million labeled data points, enough to give the platform context behind most any type of unstructured data, from Word documents to images and video.

 

Related Article: Unstructured Data Analytics – RPA Fails & Intelligent Automation Succeeds

 

Automate, analyze and visualize unstructured data

Companies use the platform to “read” their unstructured data just as an employee would. This gives companies the ability to automate unstructured data processing as well as analyze and visualize the data to gain valuable insights.

In terms of automation, the Indico platform enables intelligent document processing. Companies can now automate document-intensive processes that traditionally required employees to read documents and manually extract key data. The same employees who actually perform the work use the Indico Data platform to build models to automate processes, such as by extracting key data from unstructured documents and inputting it into downstream CRM, ERP or other systems.

The platform can also be used to convert unstructured data into a structured format that’s compatible with your business intelligence tools, such as Microsoft Power BI and Google’s Looker. Now you can unlock years’ worth of insights from your unstructured data and apply BI to gain newfound insights.

Similarly, Indico’s intelligent process automation platform can be used to prepare unstructured data to be used with data visualization tools such as Tableau, which likewise requires data to be in a structured format.

 

Creating unstructured data analytics tools

Indico Data essentially turns all of these BI and visualization platforms into unstructured data analytics tools, by giving you the ability to automate the process of turning unstructured data into a format they can understand. No more do you need armies of employees poring over your unstructured data looking for useful nuggets. Indico Data can reduce the resources required for the job by about 80%, enabling you to finally make good use of your unstructured data.

Learn more about how the Indico Unstructured Data Platform can help you with unstructured data management by registering for our free trial.

 

[addtoany]

Increase intake capacity. Drive top line revenue growth.

[addtoany]

Unstructured Unlocked podcast

March 27, 2024 | E43

Unstructured Unlocked episode 43 with Sunil Rao, Chief Executive Officer at Tribble

podcast episode artwork
March 13, 2024 | E42

Unstructured Unlocked episode 42 with Arthur Borden, VP of Digital Business Systems & Architecture for Everest and Alex Taylor, Global Head of Emerging Technology for QBE Ventures

podcast episode artwork
February 28, 2024 | E41

Unstructured Unlocked episode 41 with Charles Morris, Chief Data Scientist for Financial Services at Microsoft

podcast episode artwork

Get started with Indico

Schedule
1-1 Demo

Resources

Blog

Gain insights from experts in automation, data, machine learning, and digital transformation.

Unstructured Unlocked

Enterprise leaders discuss how to unlock value from unstructured data.

YouTube Channel

Check out our YouTube channel to see clips from our podcast and more.
Subscribe to our blog

Get our best content on intelligent automation sent to your inbox weekly!