Following the recent code branching for the LLVM 23 series, LLVM 23.1-rc1 was released today in working toward the next stable release of this open-source compiler stack...
While the VideoLAN developers are busy these days working on dav2d for AV2 video decoding, they haven't let up work on dav1d and recently released dav1d 1.5.4 for continuing to enhance this leading open-source, CPU-based AV1 decoder...
Agencies are keeping missions moving while technology, security requirements, data demands, and public expectations all continue to shift at once. That’s why this year’s Red Hat Government Symposium couldn’t have come at a better time. Bringing together leaders from federal, state, and local government agencies and higher education, panelists focused on how their organizations are managing disruption without losing momentum. Across sessions, speakers shared practical examples of how agencies are making thoughtful technology decisions to strengthen security, improve service delivery, and
At Red Hat, our goal for the ecosystem has always been simple: build a predictable, profitable partner program for our partners to scale their business. As always, we remain committed to the future of open source, and that means continuously investing in the partners who help us bring that future to life.Now, we are rolling out a series of updates to the Red Hat Partner Program designed to streamline your daily operations, safeguard your investments, and give you a clear financial runway to build new pipeline. Here are five ways we are enhancing the global partner experience to help you maximi
A secured agent that can't reach anything is just expensive autocomplete with a badge. In "Why prompt-level guardrails aren't enough," I walked through how Red Hat AI allows you to give each agent a cryptographic identity and lock down what it can touch. That solves the trust problem, but it doesn't solve the connectivity problem, and the connectivity problem is where I see most enterprise agent rollouts stall—not because the model fails, but because the plumbing does.In our previous articles, we talked about how 3 failures hit a single AI agent deployment overnight—43 duplicate tickets, $
Insurance remains an incredibly data-heavy industry with deep roots. Based on product offerings and strict regulatory data retention rules, a significant number of existing systems, some decades-old, are still in operation. It's not uncommon to find COBOL-coded applications or AS/400s continuing to run mission-critical workloads.There's a valid reason for this: the insurance sector was an early adopter of these data-heavy environments, and the technology worked well.However, managing this data over decades created heavy technical debt. For example, liability insurance policies often require da
Pages