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...
25
Jan
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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...
21
Dec
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...
25
Nov
re:Invent 2020: Wish List
AWS Ambassador and Inawisdom Head of Practice - Solution Engineering, Phil Basford - talks us through his wish list for the upcoming AWS...
27
Oct
Creating a flexible, scalable, and cost effective architecture for a Fintech Start Up
As an organisation focused on how to help customers drive the most from their data, we work with businesses of all sizes and...
12
Aug
– 2,000 Excel workbooks, 8 million data points, half a million embedded comments, 10 seconds, 1 Lambda.
Inawisdom engagements invariably involve lots of data wrangling - whether that's data cleansing and feature engineering for a Machine Learning DaaS , or...