Data Empowerment: The next frontier in Industry 4.0
The following article is adapted from our new report, "Time for Industry 4.0: The nest stage in the data revolution". Download a copy...
25
Apr
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11
Mar
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...
11
Feb
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...
02
Feb
Inawisdom is proud to be an Amazon QuickSight Service Delivery Partner
At Inawisdom, Amazon Web Services (AWS) is integral to our business. As an AWS Premier Partner, our team are committed to being AWS...
25
Jan
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...
24
Nov
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....
18
Nov
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...
28
Sep
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...
08
Jun
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...
13
Apr
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...