Expert articles on cloud, software development, and AI
January 16, 2024
Java is not the language it used to be, and that is mostly a good thing. Here are eleven ways Java is evolving to meet the challenges of the future. Read more â¶
Itâs more than just flexibility and the ability to dynamically adjust resources. Having the versatility to move or load-balance workloads across on-premises, public, private, and multicloud can support scale, improve system performance, and enable cost efficiencies.
Rate limits mean everyone is waiting for better compute resources or different generative AI models.
The first wave of generative AI-augmented software testing and automation tools has arrived. Here's how QA and devops teams will measure their impact.
Flowpipe allows you to create complex and highly parallel workflows in a declarative style using the standard devops configuration language, HCL.
Microsoft Research is experimenting with the development of tailored AIs that minimize resource usage.
Ever-larger datasets for AI training pose big challenges for data engineers, and risks for the models themselves. Itâs time to shift our focus to curating and managing smaller datasets.
Software development history is rich with "Eureka!" moments that caught the world, and often the developers themselves, by surprise.
