There is so much noise about the emergence of coding leveraging the latest AI advancements. I do think that a lot of it is very reactionary, some are quite sober takes. I've always been skeptical about hype because I'm a firm believer of the precautionary principle
René-Jean Corneille
I like to write about Data, Machine Learning, Artificial Intelligence and my experience leading technical teams
Generative AI has taken the world by storm. It's everywhere. I'm currently flat hunting and you can actually search potential ads with natural language. As expected, new and promising technologies get this overinflated attention (though not always unwarranted) which leads to them being applied to anything
I love solving technical problems and never really considered the managerial track until well into my second role as a staff data scientist. I then realised that the more senior you become, most of your impact comes through others IC or managerial track. Which means that there's an
Latency is one of the main challenges to making machine learning impactful for an organisation. Depending on the latency requirements and the inference methods, the emphasis on latency can be either about cost efficiency and / or about scalability. Machine Learning Engineering teams need to be able to provide value and