Coforge's SLICE (Self-Learning Intelligent Content Extraction Framework)

SLICE accelerator is an intelligent and a quicker way to extract published and handwritten content. It allows companies to extract data they want to focus on from a compendium of sources helping them arrive at the information which is used to transform their business digitally. SLICE uses taxonomy based Natural Language Processing to extract content from a variety of sources like a Word or a PDF document, an Excel spreadsheet, email body, email attachments, presentations, HTML files, and images.

The SLICE framework overcomes these business challenges:

• Enterprise data in unstructured format like Emails, Excel, Images, PDF, Word, Video, Audio
• Data difficult to achieve straight through processing resulting in time consuming manual labor

• Lends Flexibility: Highly Customizable - SLICE is customizable and offers flexibility to approach a problem and come up with exceptional solutions. The framework handles a variety of structured and unstructured data sources to bring out the relevant data.
• Caters to All Industries - Since content extraction is a need that is not industry-specific and can happen from structured and unstructured data sources, the solution applies to almost all types of businesses.
• Boosts 'Speed to Market' - Clients looking for quick solutions can rely on this accelerator as it speeds up data extraction - based on which businesses can devise their approaches and make strategic decisions.
• Reduces Time, Manual Effort, and Costs Significantly - Reduction in manual effort may vary depending on customer-specific problems, all our clients have experienced delightful savings in effort, time, and money once they implemented SLICE.