Driving Software Delivery Automation With AI/ML
What if we could use an artificial intelligence (AI) engine to predict the next lines of software code to build? What if machine learning (ML) could trigger the creation of automated test cases to validate our solutions? Automation has been a focus for the information and communications technology (ICT) industry for years, and there are […]
DevSecOps Implementation: Intrusion Detection
Originally, this series was just going to be four articles on the DevSec side of DevSecOps. There are many reasons for this, but primarily because that side is cleaner. The other reason is that these topics are beyond the work we were doing at Accelerated Strategies Group. But we’ve had a number of requests to […]
Aspects of Machine Learning on the Edge
Machine learning (ML) is hard. Making it work within the confined environment of an embedded device can easily become a quagmire unless we consider, and frequently revisit, the design and deployment aspects crucially affected by ML requirements. A bit of upfront planning makes the difference between project success and failure. For this article, our focus […]
Are Self-Service Machine Learning Models the Future of AI Integration?
DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As a result, the market is seeing an influx of self-service machine learning models and machine learning-as-a-service offerings designed to help development teams more […]