Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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   ........

Expense reporting has always been a hassle. There are receipts to keep, loads of dates and amounts and details to enter — but people do it, because they like to be reimbursed for the money they have spent on company time. Nobody really likes manually filling in the forms required to get their money back, though.  Infrrd  helped the company unlock data hidden in its clients’ unstructured documents, which meant less of a need to ask end-users to fill out fields. It also meant less opportunity for people entering the information themselves to make mistakes, so less need to spend time fixing them.                                          👉    READ MORE....

Intelligent document processing AI is powerful stuff—but technology alone won’t create business value. In fact, building good, useful AI with its accompanying technology is really only about 30% of the challenge.  Taking advantage of its power is the other 70%.  A project needs to both create AI insights and use those insights to move the needle.   The 70% rule of thumb is a good reminder that both the business and technical sides of your company need to work together to successfully transform your processes.                                  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  

"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...

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 ...

If data is the new oil then accuracy is its Octane Number. Companies may have hundreds of disparate sources of data – spreadsheets, documents, receipts, invoices, RFP’s, financial reports etc. , if not scraped through accurately that would be a major show stopper. Manual scraping is time consuming and laborious, while un-intelligent  data extraction  tools will require human intervention to monitor and make corrections. Need of the hour is an Intelligent Data Capture platform that drives contextual accuracy like a human . Accuracy is one of the most important aspects of data extraction. Originally published at  infrrd.ai  

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  

Many multinational companies today, face the most significant revolutionary change in the realm of technology. Namely, conversion of paper documents to digital and the inability to leverage data ensnared inside scanned documents and images. Relying on data trapped inside documents and manually re-keying them can land businesses into a bottleneck situation. Therefore, the need for an automated solution to segment and extract document elements is high.  Originally published at  infrrd.ai  

Whether you’re presenting an annual report, comparing sales figures, or highlighting a trend, visual representations such as graphs or charts are a great help to understand data elements quickly. However, in today’s hyper-interactive world, it’s hard to understand why data still continues to be represented as colorful graphs. These data trapped visual representations that cause restrictions in harnessing the data or make better decisions. 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...

How AI can Solve your OCR Problem The success of your  Intelligent Automation  strategy depends on your ability to extract necessary data from paper-based documents such as contracts, manuscripts, books, invoices, receipts, etc. and convert it into machine-readable text.  Unless you want a manual data entry bottleneck in front of your whole automation process, step one of your automation strategy should include the automation of that data extraction process.                                         READ 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 .........

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  ….

True or false? Extracting data from Annual Reports is time-consuming. Extracting data from Annual Reports is painful. Extracting data from Annual Reports  has to be a mostly manual process. If your company is like most in need of the data trapped in Annual Reports, odds are you called all these statements true.  But, what if you’re mistaken? There’s a reason most find  extracting data from annual reports  difficult, time-consuming, and/or costly. Because until recently, the common ways to address the challenge were inadequate. Intelligent Data Processing                          READ MORE 

Intelligent Document Processing Extracted data and information  are fed into a process. Think  Mortgage Processing, Itinerary Processing, Loan Processing, Claims Processing, RFP Response  Processing, Financial Compliance, Auditing, Expense Management, Invoice Processing, and so on.  Can you extract the full value of data and information from all these 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀? Find out how to make  𝗔𝗜 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀  work for you. Intelligent Automation                                               READ MORE  …….