Tooling up with a Feature Store

Tooling up with a Feature Store

A Feature Store is useful tool to help manage Features used by Machine Learning models. I discussed in my previous blog the challenges related to Feature management, how to curate them and the desirable capabilities of a Feature Store. In this blog I will build upon...
Redshift Serverless: First Impressions

Redshift Serverless: First Impressions

There were a LOT of announcements at re:invent 2021 – nothing new in that. Standard practice in the New Year at Inawisdom is to go through a process of digesting them in a bit more depth than is possible during the hubbub of the event. As part of this I had a quick...
AWS App Runner: What’s it all about?

AWS App Runner: What’s it all about?

Containers have become a mainstay within the increasing number of organisations adopting the DevOps way of working. As expected with the growing prevalence of any technology, the ecosystem  of tools for working with said technology also grows. Whilst container-like...
MLOps: Tracking and Approving Models

MLOps: Tracking and Approving Models

The use of Machine Learning has become a critical component in many businesses, examples being product recommendations, making decisions on stock levels, and evaluating credit scores. Machine Learning uses like these for businesses are having a direct impact on the...