Government agencies are utilizing Micro-Service Architecture (MSA), the predominant design pattern for application development, but these evolved patterns have introduced new challenges and complexities to understand. James Harmison, a senior solutions architect at Red Hat with over a decade of experience in operationalizing applications for enterprise use, addressed: The concerns that teams have as they try to deploy MSA applications into pro...

Efforts to keep the nation safe, hinges on our strategic and tactical advantages. Machine learning (ML), a subset of artificial intelligence (AI), provides unparalleled insights into large data sets. These insights are critical to maintaining military superiority and safeguarding our nation's interests.Join us to learn more about the role of open source software in this paradigm and how Red Hat can enable the DoD to leverage machine learning w...

Artificial intelligence (AI) and machine learning (ML) are becoming increasingly mission critical as the volume, variety, and velocity of data exceeds the cognitive capabilities of human operators. Join AI/ML experts from Red Hat and HPE as they discuss how to enable AI/ML as an effective real-time mission partner with their collaborative solution that makes AI-driven edge processing a reality. Data-driven applications like AI/ML must not be c...

Constructing an artificial intelligence (AI) and machine learning (ML) infrastructure to effectively manage workloads and performance, optimize utilization and scale correctly can be challenging and time-consuming. Listen to this On-Demand as they discuss the AI/ML in a box solution combining Penguin Computing FrostByte with Red Hat Ceph Storage to explore how your agency can stay agile as your data center grows and organizational needs change...

With less money and people to do more work, healthcare organizations (HCOs) must implement artificial intelligence in the areas it shines. But what are those areas? Where can AI make a real difference today versus the aspirational uses that may not be ready for primetime? What kinds of computing environments offer the flexibility to leverage AI, which are more problematic, and how can you transition from the latter to the former if necessary?...

In the continually changing landscape of modern governance, federal civilian agencies must prioritize secure innovation within their environment. While harnessing technological advancements is crucial for enhancing public services and operational efficiency, it must be done hand in hand with a resolute dedication to cybersecurity. Red Hat hosted the More Securely Innovate the Enterprise event in Denver where government and IT professionals cam...

U.S. Department of Justice (DOJ) and U.S. Department of Homeland Security (DHS) agencies are adopting AI/ML to enhance their mission capabilities, though the degree of adoption varies among teams. Common challenges include: Complexities and time needed for iterative cycles to train, test, select and retrain the ML model for optimal prediction accuracy Need for collaboration among cross-functional teams to refine workflows, processes and share...