Simpler software testing is needed as citizen developers using low-code development techniques aren’t willing to wait on IT’s sign-off.
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Only a small number of companies currently have mature observation processes in place, making it a field ripe for innovation.
Sophisicated datagraphs are the separator between the top tech companies and their competitors, but the tech isn't solely for apps with billions of
An automation-first, data-driven, self-service approach delivers on the promise of AIOps, enabling teams to fix problems rather than just identifying their …
In part two of this series, Demetrios Brinkmann, MLOps Community’s Head of Community and the MC of Tecton’s apply(conf) event, shares his perspectives on …
Observability can help identify where software with newly found vulnerabilities is used based on how it performs and interacts within a larger
Many top vulnerabilities are in software libraries that have been used for years. Observability offers a better way (vs. traditional security approaches) to …
Observability must encompass the different systems that comprise modern applications, rather than a single system like in the early days.
Artificial Intelligence has improved the technology tools in all verticals. Software development, too, can be improved using AI.
In this week's real-time analytics news: Red Hat rolled out enhancements to its developer tools to speed the creation of Kubernetes-based applications.