Infrrd AI Enabled Intelligent Document Processing for Complex Documents

Nikunj Sanghvi , Infrrd’s VP intelligent automation, is passionate about helping businesses improve their speed and efficiency. He likes being part of a team that offers tailored solutions to clients interested in optimizing and transforming their processes, and says its Infrrd’s patented technology, the ability to increase accuracy and throughput, and industry-specific integrations, that make it possible. “We help them unlock their data, so that they can use it to run their businesses smarter,” he says.                    READ MORE

Rindegastos , a Chile-based cross-platform application that digitizes the expense reporting process, had a problem. It needed to process receipts from Chile, Argentina and Peru, but being able to read the data from different countries and detect which country the receipt was coming from turned out to be a tall order.                              READ MORE   ........

Intelligent document processing This new  AI-driven  approach to data processing can do far more than OCR.  What is IDP?  Why is it different? When is it better? Is it right for me? This eBook is an executive guide to Intelligent Data Processing , a new AI-driven solution that can  unlock the data  you need to drive intelligent automation and improve business processes.  Get an overview of IDP, explained in simple terms. Learn what it is, why it’s  fundamentally different from OCR , and how it can be applied to remove bottlenecks in your business. Includes three examples of  typical use cases .  Download The eBook To know More 😁 https://hubs.ly/H0rq_Lk0   

5 Tips for Beating the Bottleneck Document complexity  can be a drag if you’re unable to address it with the technology and the people you have working with you. The systems you have in place may not be optimized to extract data from unstructured documents. That leaves your internal, back-end processes lacking, and has everyone working exponentially harder to try and dig out the data your system can’t see. Improving your accuracy and throughput is critical, however, to make sure document variation doesn’t stop the show.  Here are five ways to address the bottleneck document variation can cause, including tips for using these variations to make your company more competitive in today’s incredibly nuanced business environment.                                             READ MORE  

We sat down with Amit Jnagal, Founder/CEO, to find out more about where Infrrd came from and where it’s headed.  Infrrd pivoted to financial services and used our understanding of harnessing unstructured content to tackle different business problems. We had built powerful AI capabilities, and this was a great way to use them. We just had to decide where to focus and  what customer problem to solve.                               READ MORE

"My Best Advice For Buying Enterprise Automation Software" Know Your Problem,  Find Your Best Solution (Ask Ben how) The biggest mistakes clients make when selecting a  vendor … We sat down with Benjamin Cornforth, VP of Worldwide Sales at  Infrrd , to find out more about the buyer journey and mistakes clients make. As an industry veteran, he had lots of tips to share. And Here’s How: Get Machines Involved For the first time, technology has come far enough to start to solve more sophisticated business problems, starting with back-office accounting processes . The  procure to pay process   is just one example, as it requires the ability to pull data out of different documents and make sure they match before a check goes out. “Today, a human references those manually, types them into SAP or Oracle, and spits out an approval. So that’s what we’re trying to solve for.”  Buyers can do more, better, for less money. “What they’re able to do...

Do you believe AI can do everything? Find out some of the reasons why AI cannot make Chai / Tea. Check out Interesting video : #AI #artificialintelligence #machinelearning #deeplearning #intelligentdocumentprocessing #Intelligentdatacapture #IDP #Intelligentdataprocessing #digitaltransformation #ml #NLP

Enterprises today have no time or resources to waste. To be successful, they have to make smart choices when it comes to maximizing efficiency and innovation to stay ahead of the competition.  AI  is offering new and exciting ways to make better, more informed business decisions.                                          READ MORE

Intelligent Document Processing Intelligent Document Processing  ( IDP ) is  rapidly emerging  as a category of solutions that help you extract data from the documents that drive your business- like  insurance claims , mortgage applications, contracts, purchase orders, invoices, engineering drawings, and so on.   Download the Executive Guide to IDP Many vendors offer IDP products, but they’re all quite different so the landscape isn’t easy to navigate. The category itself can go by different names. Some call it  Cognitive Document Processing . Others call it Intelligent Document Capture (IDC). Some even refer to IDP solutions as  OCR  or  Machine Learning OCR  … which is very misleading.  To keep it simple, we’ll stick with IDP in this post so we can help you make sense of it all.                                       READ ...

  Does your firm run on data insights? Find out how an investment advisory firm automated data extraction from complex, unstructured financial reports using Intelligent Document Processing (IDP).                                         READ MORE

Intelligent Document Processing  is an important part of today’s technology landscape. It’s drawing increased attention as part of an ecosystem that’s allowing enterprises to move beyond OCR and automate more complex processes. Analysts have floated expectations that  IDP will eventually replace OCR , and are paying special attention to both the overall market and the players positioned to move it ahead.  Download the Everest report here →                                                READ MORE

Infrrd’s current wave of technologies has tested a multilayered extraction model successfully that employs a suite of advanced  AI-technologies  to streamline the operational process. This is a result of a months-long effort in finding the right composition of technical modules. The following details provide a bird’s eye view to the multilayer architecture and its capabilities. Originally published at  infrrd.ai  

While conventional  OCR engine  is considered as a mainstay platform and might seem like the end-all, be-all solution for capturing data. It can be frustrating at times when the data is misread or not even be read. Inputting a document into an OCR doesn’t mean that it will actually output something without a hitch- forcing knowledge workers to manually work. Why does OCR fail? Many OCR engines fail to support and understand the complexity of the input data in a given document. For example, if the input document is a form then the OCR might identify the text but may not recognize text over a line or the text in blocks. This may result in unexpected output. Originally published at  infrrd.ai  

Data extraction  from unstructured documents is a complex  task.We  can overcome this problem with help of Intelligent Data Processing. Data Extraction From Complex Documents Benefits of Infrrd’s Intelligent Data Capture platform: Effort Reduction:  The IDC platform is well-equipped with cognitive capabilities that makes self-learning feasible and adapts different layouts, configuration, rules, or templates. This saves a great deal of effort. Time-saving:   IDC solutions  can process graphs 12x times faster than humans letting employees work on value-added tasks. High Precision:  Through self-learning, the module learns to become more efficient and reduces human-ridden errors leading to more accurate and faster results. Increased Productivity:  With  IDC  in place, it’s possible to perform graph extraction in less time with reduced errors. This means less double-checking and reworking tasks, leading to higher efficiency and...

There’s  tremendous value  trapped in your unstructured data, complex documents, and images.  Extracting it manually is slow, expensive, and doesn’t scale well.  OCR has its performance limits and eventually hits a wall.   How can you  remove this bottleneck? This new  AI-driven  approach to data processing can do far more than OCR.  What is IDP?  Why is it different? When is it better? Is it right for me? This ebook is an executive guide to  Intelligent Data Processing , a new AI-driven solution that can  unlock the data  you need to drive intelligent automation and improve business processes.   Intelligent Data Processing Get an overview of IDP, explained in simple terms.  Learn what it is, why it’s  fundamentally different from OCR , and how it can be applied to remove bottlenecks in your business. Includes three examples of  typical use cases .  Download Now To Know More : ...

Intelligent Data Processing The technology that enables us to extract information from scanned images of printed or handwritten documents is called  Optical Character Recognition  or OCR.  Accurate and reliable data extraction  plays an important role in finance, accounting, electronic health record updates, insurance claims processing, personal and national security, logistics documentation, and legal documentation.                                       READ MORE

Artificial Intelligence Deep learning is an emerging subset of  artificial intelligence  in which systems are developed to learn from observation and make decisions without human intervention.  Deep learning systems seeks logical patterns in unstructured and uncategorized data sets and, as we saw in  How Artificial Intelligence And Deep Learning Algorithms Deliver OCR Accuracy for Business,  has powerful applications in  optical character recognition (OCR)  conversions. The OCR conversion process uses the following four steps:                                 READ MORE .........

Extracting panel data from PDF documents  is not for the faint of heart.Typically it’s a time-consuming, manual (and some would say torturous) process that’s as tedious as it is filled with error.It’s all because of the challenges of extracting panel data.Find out how to automate panel data extraction with the help of  𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 . READ MORE  ……. Sign up for regular updates of recent Blog post  😁

Intelligent Data Processing Extracting data from tables  isn’t quite as easy as it should be. If you read up about just how wrong the Rolling Stones were when it comes to  extracting data from tables ,  you already know! Automating data extraction  —  even when it comes to  complex tables  and charts  — is not as tough as you’d think. Find out how 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 helps to automate data extraction from complex documents using 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴.                                                READ MORE .....

Intelligent Data Processing Automating data extraction from complex documents  has been a challenge for so many for so long. Maybe you tried using OCR to automate data extraction.  It works for more simple documentation.  Perhaps you were successful using cloud tools from Amazon or Google to automating more simple stuff, and figured,  “What the heck, we’ll try that for the complex stuff, too!” Have you ever wondered about  99% accuracy  of data extracted from 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘁𝗮𝗯𝗹𝗲𝘀? Answer these 5 questions to find out.                         READ MORE  ….