by Phil Basford | Sep 27, 2022 | Amazon, Machine Learning
I worry about inference a lot. This is the term that covers the process that makes predictions from a machine learning model(s). While working on customer projects, I come across different types of inference: High throughput and low latency (real time)Low throughput... 
by Phil Basford | Mar 11, 2022 | Amazon, Machine Learning
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... 
by Phil Basford | Feb 11, 2022 | Big data, Machine Learning
Let me tell you a secret – the art of machine learning is not about data (although lots of people say that it is). Data itself is the raw material input for machine learning, especially for supervised learning or deep learning. The secret of machine learning is... 
by Phil Basford | Jun 8, 2021 | Amazon, Machine Learning
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... 
by Phil Basford | Apr 13, 2021 | Amazon
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...