Blog

AI was the very first thing mentioned in Satya Nadella’s opening keynote of Microsoft Ignite 2023, dominating over 50% of the sessions, and with Gen-AI at its peak, that has been no surprise. In this blog, we will highlight some of our favourite announcements on Azure AI Platforms.

MLOps (Machine Learning Operations) is the set of processes for the production ML lifecycle, basically a way to efficiently and reliably deploy and maintain ML models in production. This blog covers the 6 phases of the ML lifecycle and how MLOps can enrich your ML platform.

There are so many options to deploy models in Azure that is can get quite overwhelming. In this blog, we break down all the available options and consider the pros and cons of each tooling option.

Valentines Day is approaching and what better way to celebrate than to play around with AI Completion to create an entire Romantic Comedy movie summary from just a tiny prompt.

This blog will cover how to write a simple SPARQL query to identify Wikipedia pages containing a certain link (in this case using a link to identify the movie genre) and return the film and additional attributes such as producer, director, tags and actors.

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex graphs. It’s a really cool package that contains heaps of graph algorithms for all different uses. In this tutorial, I will cover how to create a graph from an edge list and different ways we can query it.

Model drift refers to the decline of model performance due to changes in data and relationships. Most drift is caused by things entirely out of our control so while we can’t stop it from happening, we can identify and mitigate it.