Welcome!

News Feed Item

Kofax Receives United States Patent for Determining Data Validity

Kofax plc (LSE: KFX), a leading provider of smart process applications for the business critical First Mile™ of customer interactions, today reported it has been issued patent number 8,345,981 by the US Patent and Trademark Office. The patent covers technology that determines the validity of data extracted from documents by reverse matching the extracted data with information contained in an organization’s systems of record, such as an ERP system, and corrects erroneous or suspicious extracted data, thus ensuring its accuracy. This is accomplished in a fully automated manner, which reduces manual, labor intensive work and speeds processing. The technology was invented to address the error-prone and process delaying challenges facing organizations with large volumes of business transaction documents, including purchase orders, invoices and receiving information.

“Transactional documents are mainly designed for human readability. They are received in both paper and electronic formats and the layout and language within the documents differ vastly between parties, which makes the reverse matching capability extremely beneficial for ensuring accuracy and processing speed,” stated Anthony Macciola, chief technology officer at Kofax. “The technology embodied in this patent exemplifies Kofax's commitment to continually innovate and develop smart solutions that drive business value to customers.”

The technology encompassed within this patent is currently being used within Kofax Transformation ModulesTM for its ability to locate and match line items within invoices used in accounts payable automation solutions. Potential future applications of the patented technology could include, for example, explanation of benefits (EOBs) forms.

Kofax has 18 issued US patents and 13 issued foreign patents relating to digital image quality, data capture capabilities, and business process technologies. It also has 37 patent applications pending worldwide.

About Kofax

Kofax plc (LSE: KFX) is a leading provider of innovative smart capture and process automation software and solutions for the business critical First Mile of customer interactions. These begin with an organization’s Systems of Engagement, which generate real time, information intensive communications from customers, and provide a fluid bridge to their Systems of Record, which are typically large scale, rigid enterprise applications and repositories not easily adapted to more contemporary technology. Success in the First Mile can dramatically improve an organization’s customer experience and greatly reduce operating costs, thus driving increased competitiveness, growth and profitability. Kofax software and solutions provide a rapid return on investment to more than 20,000 customers in banking, insurance, government, healthcare, business process outsourcing and other markets. Kofax delivers these through its own sales and service organization, and a global network of more than 800 authorized partners in more than 75 countries throughout the Americas, EMEA and Asia Pacific. For more information, visit kofax.com.

© 2013 Kofax, plc. “Kofax” is a registered trademark, and “First Mile” and "Kofax Transformation Modules” are trademarks of Kofax, plc.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With 15% of enterprises adopting a hybrid IT strategy, you need to set a plan to integrate hybrid cloud throughout your infrastructure. In his session at 18th Cloud Expo, Steven Dreher, Director of Solutions Architecture at Green House Data, discussed how to plan for shifting resource requirements, overcome challenges, and implement hybrid IT alongside your existing data center assets. Highlights included anticipating workload, cost and resource calculations, integrating services on both sides...
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, discussed how leveraging the Industrial Internet a...
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
In his session at 18th Cloud Expo, Sagi Brody, Chief Technology Officer at Webair Internet Development Inc., and Logan Best, Infrastructure & Network Engineer at Webair, focused on real world deployments of DDoS mitigation strategies in every layer of the network. He gave an overview of methods to prevent these attacks and best practices on how to provide protection in complex cloud platforms. He also outlined what we have found in our experience managing and running thousands of Linux and Unix ...
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Choosing the right cloud for your workloads is a balancing act that can cost your organization time, money and aggravation - unless you get it right the first time. Economics, speed, performance, accessibility, administrative needs and security all play a vital role in dictating your approach to the cloud. Without knowing the right questions to ask, you could wind up paying for capacity you'll never need or underestimating the resources required to run your applications.
Enterprise networks are complex. Moreover, they were designed and deployed to meet a specific set of business requirements at a specific point in time. But, the adoption of cloud services, new business applications and intensifying security policies, among other factors, require IT organizations to continuously deploy configuration changes. Therefore, enterprises are looking for better ways to automate the management of their networks while still leveraging existing capabilities, optimizing perf...
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...