Infrrd AI Enabled Intelligent Document Processing for Complex Documents

  Intelligent Document Processing Intelligent Document Processing (IDP)  automates data extraction from complex, unstructured documents, helping enterprises create a new value proposition for their organizations and customers.  Until now, only humans could process these kinds of documents, costing companies time and money.  Removing manual data processing bottlenecks with IDP, enterprises can drive new, transformative  business outcomes .                                            READ MORE                                           

Intelligent Document Processing  (IDP) can help solve document processing challenges healthcare and insurance firms struggle with. In this gtog post, we will walk through an example of how one firm used IDP to overcome manual processing bottlenecks.                                                READ MORE

  A Gartner analyst takes 20 calls a month on OCR and   Intelligent Document Processing  from enterprise buyers looking to make their next moves. We asked him what they’re looking for in a  data extraction solution . And he said, “solution accuracy.”  Here’s why: Vendors aren’t generally willing to provide this most critical metric. Instead, they say, “it depends.” They don’t want to commit, which is unsatisfactory to the enterprises who have real money on the line.                                    READ MORE

  Artificial Intelligence Machines learn like humans “Just think how we have learned to understand something, or how we have learned to infer something,”. “That’s the evolution of intelligence a human being has, the same thing happens with a machine, also, so slowly they start learning things, slowly they start understanding things, and in that way, they can start inferring things, and that inference is what can lead to machine learning, or we can say,  artificial intelligence .” Priya Thampi ,  VP Engineering Explains – Why customers believe in  Infrrd ’s  approach and how Infrrd’s technology is making a difference from others. READ MORE

  Teresa Cattaneo  has sold wine. She’s sold guitars. But starting in August 2018, she became part of Infrrd’s team, selling something else exciting — the ability for enterprises to make the impossible possible when it came to  data extraction and business transformation .  The Leadership Cares She says she knew going out on a limb to join a startup was worth it once she met Amit, the company’s founder. “I think we have an exceptional leader at  Infrrd ,” she says. “He’s got open arms for anything you need to discuss.” 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  

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 : ...

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 .........

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 

Data Extraction From Annual Reports Do you spend a lot of time daily in extracting meaningful insights from  𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐚𝐧𝐧𝐮𝐚𝐥 𝐫𝐞𝐩𝐨𝐫𝐭𝐬 ? Annual reports come in all sorts of formats with non-standard taxonomy being the norm more than the exception. Add in that important information is always presented in tables, charts, graphs, and other containers  OCR   has difficulty reading, and the picture is clear.A single Annual Report can be up to 186 pages or more. When humans are left to manually extract critical data from each page, how long do you think a single review of a single document would take? Now what if you had hundreds? Thousands to review? Find out how  𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠  platform will make your time more beneficial READ MORE

Data Extraction From Complex Documents How accurate is your   dataextraction  from tables? Let’s face it.  Extracting information from tables  to feed an  automation process  is as complex as it is difficult.“You can’t always get what you want” is further validated when we recognize that automating the  information extraction process from tables  is a challenge few have fully conquered. Want to get what you want AND what you need? Let’s Chat! Start a conversation to get what you want and learn a lot more about what it takes to overcome  tabular data extraction  challenges.               READ MORE ...                                           

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 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 .  Get Your Free Copy here to know more :  https://hubs.ly/H0n1Qfs0

Intelligent data capture can achieve up to 95% accuracy and processes 12x faster than manual processing.” Intelligent Data Processing 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 productivity. Moreover, the business processes will be streamlined, resulting in...

Intelligent Automation Infrrd client wanted to implement a 100%   automated insurance   claim process. Such a process would give them a competitive advantage over other providers. After collaborating on the 100% question, we found the most critical bottleneck in need of a fix was  accurately extracting data  trapped in various  unstructured documents   and images. Infrrd could help them  automate data extraction   with a high degree of accuracy, the claim process could run using  straight-through processing  — with minimal human involvement. We removed the  data extraction  bottleneck for them…Today, they operate right on the cusp of 100%.  <READ MORE >

“Intelligent data capture can achieve up to 95% accuracy and processes 12x faster than manual processing.” While traditional  OCR solution  may still be a better option for a few organizations, it fails to address critical challenges of graph extraction like identifying trends. Moreover, it also fails to address issues such as identifying overlapping graphs or axis scales and labels. Unlike OCR technology, the  IDC  platform is powered with AI-capabilities like  Machine Learning  and Natural Language Generator (NLG) to analyze the full population of data and identify outliers and expectations. It is these capabilities that enable entrepreneurs to draw a broader and deeper set of insights from visual representations. Once all the rules are in place, the data is extracted quickly and accurately, thereby increasing productivity and reducing the number of keystrokes required to perform the graph extraction task.  Intelligent Data Processing Infrrd’...