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5 Things You Need to Know About Data De-Identification and Why It’s So Important
Data de-identification is the process used to separate someone’s identity from their personal information. In an age where everything is stored online, data de-identification is becoming increasingly...
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8 Reasons to Buy, Not Build, a Document Processing Platform
Intelligently capturing and processing document data from multiple sources is critical to modern organizations. Complex problem solving, innovation, and compliance all require an immense amount of...
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Today’s Bizarre Choice for Oil and Gas Companies
Satisfaction with Operational Optimization, or Disrupt the Entire Business Platform Today’s technology boom and the rapid advancement of artificial intelligence technologies has changed the decision...
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Data Chrysalization
Do you know what makes butterflies? I mean, besides just caterpillars and cocoons. That hidden transformation that makes a butterfly possible - it's some kind of nature magic.
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How to Digitize Microform
Because of recent advances in microform processing, organizations are doing more with various forms of migrographics than ever before.
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Oil and Gas Tech Podcast - Featuring Tony Benson and Grooper
Can the machine really understand leases? Join Mark LaCour and Tony Benson in this all new oil and gas podcast for a discussion on artificial intelligence and processing oil and gas leases with...
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A Federal Agency’s Guide - Transition to Electronic Records
Our current Administration has set a course for achieving transformational change through modernizing our electronic government. This paper outlines how to become compliant with this Federal directive.
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If OCR is a Video Game, Grooper Has the Cheat Codes
So, you’re here because you have data on paper documents that you’d like to convert into digital text. Great!
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The Best Team in the Game Has the Best System
Previously, I wrote to you all about the amazing technology that is Grooper’s OCR Synthesis. And I let you know that OCR is problematic, and causes headaches. When we built Grooper, we knew we couldn’t...
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When Document Intelligence Isn't So Intelligent
So your machine learning model seems accurate based on what you've fed it. But what will happen when you feed it something new? And will the results be explainable?
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Why You Need Transparent A.I. for Document Processing
The greatest demand for transparent A.I. is driven by ethics, privacy, and security. But in the world of intelligent document processing, a new requirement has surfaced that will make or break existing...
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How to Spot Fake A.I.
A.I. still gets all the hype these days. Even technology without real A.I. is up on the band wagon telling outright lies.
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When Machine Learning Isn't the Answer
Machine learning is used to perform all kinds of work that helps save humans a lot of time. It's at the hub of data management, analytics, business intelligence, and is even gaining traction in...
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Do I Need a Deep Neural Net?
You might be wondering if or how you should be adopting deep neural nets. With all the cloud providers out there, should you develop a solution on-premises, leverage existing solutions, or take an...
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How Operators Are Using A.I. for Pipeline Integrity Management
Integrating data from pipeline documents is a challenging task. With upcoming deadlines, and steep fines for non-compliance, operators are turning to artificial intelligence for help.
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Why Optical Character Recognition Holds Back Progress
Optical Character Recognition (OCR) has been around a long time. So long, in fact – it’s become mired in confusion and mismatched expectations. Most organizations still use a lot of paper and PDF...
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5 Reasons Why Document Data Integration is Causing Massive Disruption
When you think about artificial intelligence and data integration, what's the first thing that comes to mind? Maybe deep learning neural nets crunching away at big data sets? Or aggregating data from...
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What is a Data Science Workbench?
A data science workbench is an industry-agnostic, scalable, unified, and transparent platform that equips users to perform complex data-related tasks on a variety of information sources using multiple...
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Why Explainable A.I. Wins Every Time
I’ll be the first to admit that gaining an understanding of A.I. and Machine Learning (M.L.) has been frustrating. For me, it’s because I’ve always had a need to know how things work.
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