Infrrd AI Enabled Intelligent Document Processing for Complex Documents

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   👈

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

  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

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  

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  

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  

Whether qualitative, quantitative or temporal dataset, a tabular presentation has always been a systematic yet logical way to represent data. As data increases at unprecedented rates, the struggle lies in binding data-enriched tables to paper-centric sources. Also, the difficulty with these paper-centric documents is that it limits the capability to automatically extract and interpret insights computationally for future use. 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 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 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’...

Automation is an evolving technology that promises to be the biggest game-changer – bringing results that are capable of disrupting a market. It is a breakthrough at breakneck speed, better described as ‘digital speed’.  Audit automation   is changing the nature of audit work, replacing much of low-level ticking and bashing with higher work, concentrating on analysis and judgments that give better insights. It also enables auditors to ask better questions and adding value to the audit process.  Infrrd’s IDC  platform is baked with cognitive capabilities. It covers several interlinked AI-enabled capabilities, such as Machine Learning and  Natural Language Processing .  Originally published at  infrrd.ai To know more about  Infrrd’s  platforms and solutions get a  free demo  from our experts.

Infrrd came up with a unique approach. Our  ‘Intelligent Data Capture’ (IDC)  encapsulates advanced AI-enabled capabilities such as Machine Learning and NLP to trawl through reams of documents to detect, analyze, and classify tables. But it doesn’t end there. Next, the data is captured in digital format, which routes data throughout the business environment for future purposes. Infrrd’s machine learning capability can: Identify tables in the document (their outer boundaries) Segment the table to recognize and detect the inner boundaries of the table (i.e. the rows, columns, and individual table-cells). Classify tables into different types (e.g. complex, long, folded, simple) using layout features. Extract table content Also, the  Natural Language Processing (NLP)  techniques help interpret table content (such as table titles, footnotes and non-table prose discussing a table), as well as understand both cell content and its relationship to the ta...

Are your employees spending too much of their time collecting and sorting paperwork, trapped in the monotony of keying in expenses and attaching receipts?Humans are the smartest and most expensive resource investment you can make. If you’re not making their time as productive as possible, you’ve got a problem that needs attention. And if  receipt data extraction  is stealing too much of their time, automation can save the day. What many organizations don’t realize is automation isn’t what it used to be. It’s far better now. Advancements in   artificial intelligence  and  intelligent data capture  make automation viable today, where it wasn’t just a few years ago. Read More  To get a deeper understanding of Intelligent Data Capture and its abilities, chat with us at  www.infrrd.ai

It’s a known fact that P&ID’s diagrams are of great importance to the oil and gas industry. They hold critical information concerning the layout of an engineering process flow along with the interconnected types of equipment. Over a period of time, the landscape of handling P&ID diagrams has witnessed a drastic change. With digitization in place, several vision problems were observed such as resolution, orientation, and the existence of noisy textual information. Intelligent Data Capture

Infrrd  came up with a unique approach. Our  ‘ Intelligent Data Capture’ (IDC) encapsulates advanced AI-enabled capabilities such as Machine Learning and NLP to trawl through reams of documents to detect, analyze, and classify tables. But it doesn’t end there. Next, the data is captured in digital format, which routes data throughout the business environment for future purposes. Originally published at  infrrd.ai

Intelligent Data Capture Infrrd’s IDC   platform can effectively extract attributes from stamps in a shorter timeframe with better accuracy. It also holds the capability to extract data from stamps that are overlapped with signature or text. The module also optimizes the stamps by reorienting them to get accurate data. With all the AI-capabilities in place, the decision-making process is made easier with better business outcomes without compromising on quality.                                   READ MORE ...

When introduced,  Optical Character Recognition software  was considered to be a boon for businesses. Instead of manually transferring data from records, one could now simply extract data from them. Later they can enter it automatically into in-house systems. We can save hours of manual labor but there remains a caveat. Errors introduced during the extraction process remain in your system. Before we recognize and fix the errors it can stall the work for many hours. OCR scanners  are prone to fail when one tries to extract data from old documents. Either the fading of the print or the lack of contrast can lead the software to incorrect recognition of patterns. Additionally, most online  OCR software  is designed to work with English as a language. But not everybody uses English as their first language. If you travel to Europe, the script remains the same but the language differs. A smart engine OCR should be able to pick up this difference in language and ada...