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 | Oct 4, 2019 | Amazon, Machine Learning
At Inawisdom we use Serverless technologies and Micro Service architectures for embedding Machine Learning models within applications or creating distributed solutions. We have found that in production Serverless architectures are cost-efficient and address many of... 
by Robin Meehan | Sep 5, 2019 | Amazon, Machine Learning
By Dr. Sami Alsindi, Data Scientist at Inawisdom Time series forecasting is a common customer need, so a means to rapidly create accurate forecasting models is therefore key to many projects. Amazon Forecast accelerates this and is based on the same technology used at... 
by Phil Basford | Sep 5, 2019 | Amazon, Machine Learning
At Inawisdom we are routinely taking our clients Machine Learning models and productionising them. In this blog I am going to cover some of the aspects of how we accomplish this, offer some top tips, and also share some things we’ve found along the way as we’ve lifted... 
by Robin Meehan | Jan 15, 2019 | Machine Learning
Back in September, I took part in a video shoot for the AWS “This is my architecture” series. With my host Shafreen, we discussed an AWS architecture to train an initial model in SageMaker, deploy it, continually evaluate its performance in production, and then...