Reduce the Cost and Complexity of Machine Learning Preprocessing
A week ago, Nate Bachmeier, AWS Senior Solutions Architect, and Marvin Fernandes, Solutions Architect, wrote an insightful article over on the AWS Machine learning Blog. Within it, they detailed a solution overview that enabled both reduced complexity and costs, during Machine Learning preprocessing! That statement there really caught our attention. Let’s dig deeper!
Collecting, Archiving and Retrieving Surveillance Data With AWS
As a company based within the UK, we are no stranger to the presence of CCTV cameras and the importance of them. With a reported 5.2 million cameras in the UK actively filming back in late 2020 (that’s one camera per 13 people), it’s safe to say that surveillance and it’s uses are an everyday part of most people’s lives.
Jason Golding Joins Firemind as a Solutions Architect
Last week brought even further expansion to the Firemind team as our Solutions Architects received a plus one! We’re delighted to welcome Jason Golding as our most recent Solutions Architect 🥳.
New Features in Amazon Managed Grafana
During late August 2021, AWS made Amazon Managed Grafana generally available. At re:Invent, they launched some new features, specifically for new plugins. This AWS insight provides you with the high-level overview and what to expect.
Amazon SageMaker Canvas announced at AWS re:Invent
The ability to build systems that can predict business outcomes has become very important within the last few years. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in almost all IT systems.
Prevent Fake Account Sign-ups With AI Using Amazon Fraud Detector
Early November, Anjan Biswas, Senior Solutions Architect at AWS, revealed how you can implement a real-time fraud prevention system by preventing fake account creation with AI using Amazon Fraud Detector.
Amazon SageMaker Model Monitor – Detecting Language Data Drift
It’s been a few months since we last spoke about language data and the AWS tools made to navigate NLP (Natural Language Processing) data drift. Within that time, the specialist AI/ML Solutions Architects within the Amazon SageMaker team have refined Amazon SageMaker Model Monitor to better detect and combat this drift. In this AWS insight, we look at an AWS approach to detecting data drift in text data, as well as running through some of the basic terminology.