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AI / Machine Learning

AI Machine learning

What is machine learning?

Machine learning is a branch of AI that uses data, or algorithms, that enables systems to learn in the same way that humans do and to identify problems without human intervention.

 

Infotel’s  machine learning in the automotive sector

We have developed a machine learning solution for the automotive sector that uses image processing to capture and refine banks of images in order to recognise defects such as dents, holes, overpainting and missing elements. With so many defects slipping through the net, production plants were losing valuable time and money. This solution is implemented on the production line and is an invaluable asset in providing vehicle quality control.

 

References


banque

Bank

Automatic process of loan request and the simplification of KYC "Know Your Customer".

Features

  • Improvement of KYC and the onboarding of new clients with automatic identity verification thanks to intelligent ID document processing on the web or in an application.
  • Acceleration in the dealing with requests for loans and mortgages: process and automatic classification of new documents, extraction of information and validation of data points.
  • Fraud prevention and respect of rules: automation of compliance requirements on contracts, financial documents and ID documentation.
  • Easing and simplification of the consumer spending comprehension: classification of bank transfers from the study of receipt and invoice item data.
Brevets

Patents

Automated process of scientific papers and other documentation linked to the registering of a patent for intellectual property.

Features

  • Recognition and automatic indexation of fields for a precise search among the documents relating to the patent application.
  • Standardisation of the documents with online specifications: bibliopraphy, expired patent, renewed patent, etc.
Comptabilité

Accounting

Automatic processing of receipts, bills and other financial documents.

Features

  • Automisation of the accounting process: declaration of VAT, supplier bills, etc.
  • Standardisation and harmonisation of the business accounting processes.
  • Improving data security with the deletion of manual errors and with the synthesising of controls.
  • Contribution to the reduction in fraud risks, à la réduction des risques de fraude, reinforcement of operational security, audit trails and internal controls.
  • Support in the change management and accounting teams on the appropriation of this new solution.