March 8th is International Women's Day. Today we reflect on what has been accomplished and recognize what there is still to work on.

From Intern to Data Scientist. Clément describes a challenging, fun, and supportive experience at Agilytic.

Illustrating the setup of an ETL flow project for a customer from the hospitality industry.

ETL represents a data movement pattern and stands for Extract (from a source), Transform (extracted data), and Load (transformed data).

Data Science Managers play a large role in project management, coaching colleagues, and business development. Hear about Gautier's experience!

As 2021 draws to a close, we recap a few key takeaways from the past 12 months, both at the macro level and from our entrepreneurial project.

Agilytic joins the cause of 1% for the Planet. As we grow, so will our commitment to positive social and environmental impact.

We break down how the creative use of data sources can derive meaningful segmentation to better understand your customers.

Manually checking if there are errors before validating a document is a costly process. Find out how we built a model for document error detection.

Implementing an automated email classification model for a client and putting the model into production with AWS.

Julien Theys draws from his extensive experience with various segmentation projects to break down how data plays a role in understanding customers.

The ‘agile approach’ plays a central role in our day-to-day work and project management. Our Managing Partners, Chris and Julien, describe how our name came to be and what agile means for our clients and our team.

How our document classification application runs on Deep Learning/Machine learning NLP models.

Text and document classification is one of the significant tasks in Natural Language Processing (NLP). Discover how Agilytic's newest application allows us to classify many types of documents based on Deep Learning/Machine learning NLP models.

We outline the approach taken in this project for document classification and information extraction. Find out how we implemented an automated process to classify documents in a well-developed operations ecosystem.

We debunk five common objections around analytics projects - think timing, strategy, responsibility, transitions, and technology. Sound all too familiar? Keep reading!

How to build a serverless architecture using AWS’ Lambda Functions (FaaS in AWS nomenclature), SQS service, Step Functions, and more.

How to build a serverless architecture using AWS’ Lambda Functions (or FaaS) to collect and classify documents.

We discuss the Elasticsearch highlighting feature, its configuration, and the potential performance improvement we can achieve.

How to tweak the default Elasticsearch behavior of storing original fields and the potential performance benefit and drawbacks.