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...
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...
Synchronous Express Workflows in real-life!

Synchronous Express Workflows in real-life!

Inawisdom have embedded Machine Learning models at one of our client’s business by using number of inference styles: The two most popular styles we see are real-time and batch (inc. micro). For batch, Amazon Step Functions calling a SageMaker Batch Transform are our...
Preparing for AWS Re:Invent

Preparing for AWS Re:Invent

AWS re:Invent, the annual Amazon extravaganza in Las Vegas, is on the horizon. As a technology and cloud geek I am excited to be attending for the first time in person. I found a great introductory event guide here by Mark Nunnikhoven, with useful hints and tips for...