Agilytic celebrates its third consecutive year as a 1% For The Planet certified company. We sat down with Julien Theys, Agilytic's co-founder, to discuss the motivations behind joining the initiative and to explore Agilytic's future involvement in sustainability efforts.

John transitioned from data science to engineering to ensure data quality and reliability. His role highlights the importance of strong data foundations for successful data science, focusing on comprehensive infrastructure over individual projects.

As the term "AI" runs the risk of succumbing to its own hype, we cover alternative ways to think about adding intelligence in your organisation with technology.

Exploration of attribution modeling and an alternative to traditional methods in the face of the phase-out of third-party cookies in popular web browsers.

Ready to expand your skill set with different tools, methodologies, and across various industries? Check out our team’s recommended resources to level up your knowledge!

Discover more about the power of Causal Machine Learning in enhancing decision-making and unlocking new possibilities.

A look back at our second year as a 1% for the Planet certified organization.

In March 2023, a sustainable mobility hackathon was held in collaboration with the European Cyclists' Federation and Jabra. Participants, comprising master’s students, recent graduates, and young professionals, worked on a challenge to tackle the problem of cycling barriers. Curious to see what they came up with? Keep reading on to discover the exciting results!

Avoiding pitfalls and following best practices for data science project management.

Well, wasn’t 2022… interesting? Phasing out of a pandemic, only to plunge into further uncertainty. Here are a few takeaways from another year on this rollercoaster ride.

A high-level illustration of the ways a matchmaking platform can leverage recommender systems.

Reflecting on our "year one" milestone. Looking forward to future progress.

We had a one-day team challenge to explore and develop a proof of concept (POC) from cutting-edge tech. Each team of data scientists and interns could choose one technology to work with. Here's how the day unfolded!

Any organization that receives a large number of vendor invoices on paper can benefit from invoice processing technology like OCR.

Maxime Khamnei reflects on abundant learning opportunities and skills acquired through real project experience during his Data Science internship.

Fraud detection of forged documents is a significant challenge for the banking sector. Today, we have a robust solution - combining OCR to detect alterations on text documents, steganography to detect forgeries on image documents, and cross-validation checking between the documents.

Risk modeling comes down to answering three questions: How likely is the incident to happen? How severe could the incident be? How much will the consequences of the incident cost?

I was thinking about how to bridge my love of programming and coding while still applying what I’m studying in business engineering. You can have both in data science.

We sat down with Farah, Senior Data Scientist, to reflect on her role and her past three years working at Agilytic. Hear about her transition from psychology to data science!

We discuss how to construct an ML model for cross-selling - to predict if a customer will purchase more products within a defined period.