Published by Gbaf News
Posted on May 25, 2017

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Published by Gbaf News
Posted on May 25, 2017

New platform release raises the bar on solutions’ performance and time-to-valueby leveraging machine learning and natural language processing
ABBYY®, a leading provider of technologies and solutions to action information, today announced a new version of ABBYY FlexiCapture. The highly scalable and universal enterprise capture platform enables organisations to automatically classify, extract, validate and direct business critical data from written customer communications and operational processes – such as customer claims, applications and transactions. Utilising a range of automated machine learning techniques, the new generation platform redefines the data capture and processing landscape, simplifying the long-standing complexity associated with the software segment.
“Even today, the vast majority of business information is still locked away as unstructured document content from diverse sources. The new evolution of FlexiCapture platform provides advanced capabilities to automatically, accurately and cost effectively action business data from a range of corporate documents. The goal is to help organisations with the digital transformation of their business operations and make companies more efficient, more agile, more customer-centric and above all, more competitive on the market,” commented Vlad Kuzmin, VP, global data capture business at ABBYY.
The new FlexiCapture generation can be deployed as a core enterprise platform with customers rapidly building and running multiple business processes while covering multiple input channels, from emails, paper, fax, e-documents and mobile. Newly implemented machine learning techniques work in two-pronged fashion: on the one hand, it powers the rapid set-up of data analysis models via the platform studio resulting in quick solution deployment. On the other, it enables a continuous improvement mechanism in the live business process and application environment, significantly boosting on-going performance while reducing the need for offline maintenance, system downtime and costly professional services – a common industry-wide problem which has plagued buyers of legacy platforms. This is particularly evident in accounts payables, claims management, order processing or customer on-boarding, where organisation have to handle documents from thousands of vendors or customers covering multiple input channels but containing the same critical business data.
Key new features and capabilities include:
New platform release raises the bar on solutions’ performance and time-to-valueby leveraging machine learning and natural language processing
ABBYY®, a leading provider of technologies and solutions to action information, today announced a new version of ABBYY FlexiCapture. The highly scalable and universal enterprise capture platform enables organisations to automatically classify, extract, validate and direct business critical data from written customer communications and operational processes – such as customer claims, applications and transactions. Utilising a range of automated machine learning techniques, the new generation platform redefines the data capture and processing landscape, simplifying the long-standing complexity associated with the software segment.
“Even today, the vast majority of business information is still locked away as unstructured document content from diverse sources. The new evolution of FlexiCapture platform provides advanced capabilities to automatically, accurately and cost effectively action business data from a range of corporate documents. The goal is to help organisations with the digital transformation of their business operations and make companies more efficient, more agile, more customer-centric and above all, more competitive on the market,” commented Vlad Kuzmin, VP, global data capture business at ABBYY.
The new FlexiCapture generation can be deployed as a core enterprise platform with customers rapidly building and running multiple business processes while covering multiple input channels, from emails, paper, fax, e-documents and mobile. Newly implemented machine learning techniques work in two-pronged fashion: on the one hand, it powers the rapid set-up of data analysis models via the platform studio resulting in quick solution deployment. On the other, it enables a continuous improvement mechanism in the live business process and application environment, significantly boosting on-going performance while reducing the need for offline maintenance, system downtime and costly professional services – a common industry-wide problem which has plagued buyers of legacy platforms. This is particularly evident in accounts payables, claims management, order processing or customer on-boarding, where organisation have to handle documents from thousands of vendors or customers covering multiple input channels but containing the same critical business data.
Key new features and capabilities include: