Mohamed Kandi

Intelligent document processing.

Active learning for intelligent document processing

In details, Research /

Data is a key component of decision making. Today, companies deploy complex processes to automate the collection, storage and processing of large amounts of data. Most of this data is in the form of unstructured documents. Berger-Levrault’s software solutions handle documents of various natures: invoices, forms, etc. Unfortunately, this unstructured representation is difficult to exploit […]

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Intelligent Document Processing (IDP) a key component to the end-to-end automation of business processes

Leave a Comment / In details, Innovation /

Company data is a key part of decision making, but unfortunately, much of this data is in an unstructured format: PDF documents, JPG scans, emails, etc. This unstructured representation is difficult to exploit by the machine, which complicates the automation of business processes. Intelligent Document Processing (IDP) captures, extracts, and processes data from a variety

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🧾DeepFacture🧾: When deep learning visually controls invoices

In details, Innovation /

Before total digitalization, the invoices were visually checked by the agents. Today the invoices are entirely dematerialized, therefore nobody checks their layout, readability, and consistency with their metadata. In France, controlling an invoice dataflow (ORMC: Order of Multi Creditor Receipt) can take up to 1 full day. ORMC data flow is sent by more than

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technology, hands, agreement

Accounting & Robots : A Love Affair

Leave a Comment / In details, Innovation /

During the past months, Berger-Levrault and the Cusma association worked together within the newly created innovation commission. This comission aimed at co-designing new and innovative services involving for exemple robotic process automation (which we have recently talked and explained on BL.Research), artificial intelligence and natural language processing. The use RPA for automatic accounting checking was

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