To test the capabilities of custom labels further, the DiUS team decided to run some experiments with Amazon Rekognition.
An Australian survey conducted by DiUS has found there’s a strong appetite for Machine Learning (ML) in the Australian market with 82% of organisations interested in ML, but only 21% have an ML project in production.
Amazon Rekognition is an out-of-the-box machine learning platform for image and video analysis. Here’s a closer look at what it can do.
How can you increase conversion rates for an e-commerce site using a recommendation engine when your users are unidentified?
Joel Jamieson – Principal Delivery Lead at DiUS – reflects on his experience helping Black Dog Institute create a suicide prevention app…
We’ve used AWS IoT Core so many times on an embedded Linux device, we created an open source service to reduce implementation effort . Dubbed chariotd and written in NodeJS, its a very useful and a lean implementation that provides access to key AWS IoT Core features – Device Shadow handling, MQTT message publishing and Fleet Provisioning.
We often get brought on board to help productise ‘IoT’ (that’s Internet of Things, if you have somehow managed to escape the acronym) devices, and depending on the domain it’s often a Linux based device. Something we commonly see is that developers who are entering the embedded Linux space from the server or desktop direction are carrying over patterns from there out of habit.