ACM/SIGAPP 2026 – 41st ACM/SIGAPP Symposium On Applied Computing (Thessaloniki – Greece)
ACM/SIGAPP 2026 – 41st ACM/SIGAPP Symposium On Applied Computing (Thessaloniki – Greece) Read More »
Airflow: feedback on BL.Predict and Foundation use cases
Introduction In a context where the automation of data workflows has become a fundamental pillar of project reliability and scalability, Apache Airflow has established itself as an essential tool within the technical ecosystem of our BL Research team, dedicated to Research and Technological Innovation at Berger-Levrault. Whether orchestrating text document processing chains or driving transformations
Airflow: feedback on BL.Predict and Foundation use cases Read More »
BL.Predict New architecture: more security, confidentiality, availability and performance!
In the constantly evolving field of the Internet of Things, BL.Predict is continually striving to push back the boundaries to offer its customers innovative and reliable solutions. At the heart of this ambition is the transition from BL.Predict’s V1 to V2 architecture, a crucial step in our commitment to provide state-of-the-art platforms adapted to current
Active learning for intelligent document processing
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
Active learning for intelligent document processing Read More »
Intelligent Document Processing (IDP) a key component to the end-to-end automation of business processes
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
🧾DeepFacture🧾: When deep learning visually controls invoices
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
🧾DeepFacture🧾: When deep learning visually controls invoices Read More »
Accounting & Robots : A Love Affair
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
Accounting & Robots : A Love Affair Read More »
