Insights. Actions. Results.

Tech Talk: How to automate document error detection from reimbursement requests

Posted by Maxime Wanet on 22-Sep-2021 11:03:17

Document error detection to reduce errors and manual processes

If you ask your customers to fill in a template document, there might be errors in the information provided by the customers. It means that you must manually check if there are errors before validating the document. This way of working is a costly process that requires a lot of employees to verify each document.

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Topics: Engineering

Tech Talk: How to automate email classification with AWS

Posted by Maxime Wanet on 15-Sep-2021 11:00:36

A large company with many clients, such as a bank, insurance, mutuality, public administration, etc., receives a vast amount of emails daily from their customers. For instance, the emails are usually sent to a general contact address. Then, emails are manually classified so they can be sent and processed by the competent department. With this project, the company began to look for a smarter way forward with automated email classification.

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Topics: Engineering, AWS

Tech Talk: Document classification and prediction using an integrated application (Part 2)

Posted by Jean-Christophe Meunier on 15-Jul-2021 11:31:07

This article is a continuation of a two-part series. For now, we will now discuss our workflow for our document classification project. Firstly, the app's home page automatically pops up when the user executes the main.py file.

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Topics: Engineering

Tech Talk: Document classification and prediction using an integrated application (Part 1)

Posted by Jean-Christophe Meunier on 13-Jul-2021 11:30:29

Text classification is one of the significant tasks in Natural Language Processing. It is the process of classifying text strings or documents into different categories, depending upon the contents of the strings. Text or document classification has various applications, such as detecting the research areas of scientific papers, classifying an email, classifying blog posts into different categories, automatic tagging of customer queries, etc.

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Topics: Engineering

Tech Talk: A complete approach to automating document information extraction

Posted by Guillaume Lamine on 10-Jun-2021 13:36:21

More and more, organizations apply Machine Learning and related algorithms to the automated processing of documents, a field otherwise known as Optical Character Recognition (OCR).

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Topics: Engineering

Tech Talk: Building a serverless architecture in AWS with lambda function interaction (Part 2)

Posted by Javier Tarrio on 02-Jun-2021 12:39:59

In the first part of this article series, we discussed how the lambda function serves as the foundation of serverless architectures in the cloud. Now, we’ll explore how the interactions between lambda functions and queues are a natural next step to building out a robust serverless architecture.

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Topics: Engineering, AWS

Tech Talk: Building a serverless architecture in AWS with lambda function interaction (Part 1)

Posted by Javier Tarrio on 26-May-2021 12:31:42

Functions as a Service (FaaS) is a part of the X-as-a-service paradigm, which covers the delegation of the managing of platform (PaaS), infrastructure (IaaS), or software (SaaS) to a cloud provider. This allows companies to focus on their business logic and reduce overhead costs.

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Topics: Engineering, AWS

Tech Talk: Searching in a large text field with Elasticsearch highlighting and Kibana (Part 2)

Posted by Olivier Buez on 19-May-2021 12:26:03
We discuss the Elasticsearch highlighting feature, its configuration, and the potential performance improvement we can achieve.
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Topics: Engineering

Tech Talk: Searching in a large text field with Elasticsearch stored fields (Part 1)

Posted by Olivier Buez on 12-May-2021 12:03:46
How to tweak the default Elasticsearch behavior of storing original fields and the potential performance benefit and drawbacks.
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Topics: Engineering

Tech Talk: Building intensive workload solutions with Azure’s function app, expectations, and limitations

Posted by Olivier Buez on 05-May-2021 13:10:22

Companies tend to go more and more towards cloud services because of ease of use and flexible cost. You can easily delegate the platform, infrastructure, or even environment runtime to your cloud provider. All these different levels of services have grown in popularity and are known as PaaS, IaaS, and FaaS.

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Topics: Engineering, Azure

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