Exploring how AI-powered models transform sign language into natural-sounding spoken words At Cmotions, we enjoy leveraging AI to solve business or societal challenges. One of the challenges we set out to address is communication accessibility for individuals who rely on sign language. What if AI could bridge the gap between sign language and spoken language, making […]

Data Science is an ever-evolving field, and we at Cmotions are always ready to evolve with it. Each year, we select a project that pushes our boundaries—preferably by exploring a new skill, addressing a relevant societal issue, and simply engaging in a fun team challenge. This year, we set out to tackle AI video models, […]

I wrote an article recently describing how to implement Continuous Integration and Continuous Deployment (CI/CD) for your Azure Synapse based data platform. At the end of part one we setup the infrastructure required for CI/CD, and we did our first parameterized deployment from our development environment to the production environment. In part two we are […]

We don’t know if you’ve heard already, but there is yet another crisis on our horizon: The Netherlands is in danger of becoming a nacho-state. The use of fried nacho chips in nightlife has become the rule rather than the exception. There is not a single South American cargo ship entering the harbour of Rotterdam […]

An article about three functionalities a newbie like me likes about SAS Enterprise Guide Although I have found my way in the world of different scripting/ coding languages, like multiple SQL dialects, DAX and a bit of Python, I had never opened SAS Enterprise Guide (SAS EG from now on), until a few months ago. […]

In our previous article we explain what model drift, concept drift and data drift is. Which we then put into practice in a notebook where we show you what you can do to make sure your productionized models keep working as expected with the help of popmon. Now it is time to complete the information, […]

Predictive models used in business processes are prone to loose their business value over time. This can be due to model drift or a result of unforseen side-effects of automatically retraining the model. In this blog we explain what model drift is and why (automatic) retraining can be a good way to deal with it. […]

series: NO DATA SCIENTIST IS THE SAME! – part 9 All Python notebooks from this series are available on our Gitlab page.