Observability and Software Supply Chain Security
Observability can help identify where software with newly found vulnerabilities is used based on how it performs and interacts within a larger
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.
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.
Predictive defense, machine learning algorithms, and artificial intelligence are just some of the industry's emerging cloud-based technologies being adopted to …
Brands like IKEA and Nike first laid down the foundation of AR in eCommerce, but now the technology has found more applications in other niches.
Analytics, augmented by artificial intelligence, offers a means to deliver self-service business intelligence (BI)
Bringing ML models into production is hard. Fortunately, community initiatives such as apply(conf) are helping.
In this week's real-time analytics news: Red Hat made numerous announcements related to automation, cloud, edge, and Linux at its annual Red Hat Summit event.