Blog

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...

Sharing Features in Scaled AI

Sharing Features in Scaled AI

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...

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...

Reflections on MLOps

Reflections on MLOps

A rare event! Last night, I attended the London MLOps meetup in person, something that has not been possible for getting on for two years. Despite a massive run from IT folk on a limited supply of pizza (clearly making up for lost time!), it was great to get...

5 Common Myths About AI Adoption

5 Common Myths About AI Adoption

When AI first came on the scene, only those businesses with cutting-edge tech agendas and well-resourced global enterprises had the budgets, skillsets and breadth of data needed to truly take advantage of it. Fortunately, as technology and best practice has developed,...

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...

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...

Cognizant acquire Inawisdom

Cognizant acquire Inawisdom

[21st December 2020]– Inawisdom will join forces with Contino under the Cognizant Digital Business Group to drive end-to-end AI/ML and digital transformation excellence.   Press Release Cognizant Acquires Inawisdom, an Artificial Intelligence and Machine Learning...