Machine Learning Operations (MLOps) can be treated as a subset of challenges in software Development Operations (DevOps), with the latter encompassing software engineering…
The term “LLMOps” is debated — while it does encapsulate the operational challenges of deploying and managing large language models, it’s the powerful…
Recently, I attended the Conference on New Techniques and Technologies for Statistics organised by the European Commission from March 6–10th in Brussels. I was pleased to discover several relevant data circularity…
In the roots academy session of March 2023, a group of Data & Cloud engineers and ML engineers collaborated together to…
The race is on to harness the potential of Large Language Models (LLMs) in enterprises. Right now, there is significant…
This is a follow up blog to the article “What is data circularity and why should you care?” where we discussed about data circularity and why we need it. It’s common to misunderstand that “Data Circularity” means “Open Data”, or vice versa. In this blog we…
From casual small talk to deep philosophical discussions, conversations about the weather have permeated our daily interactions for centuries. Its omnipresence in our…