The Red Hat Blog: Expert insights for navigating tech complexity
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AI’s next inflection point: Transforming agents into enterprise superusers
Red Hat has introduced the Red Hat skills bundle alongside a dedicated skills repository, providing the company's best practices in enabling autonomous agents to effectively use and maximize Red Hat subscriptions.
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Strengthening the open source supply chain with Red Hat partners
Earlier today, Red Hat and IBM unveiled two commercial offerings of Lightwell to deliver automated vulnerability remediation at scale. Kevin Kennedy explains how Red Hat partners can engage with Lightwell today to enable customers with enhanced open source security.
Accelerate and upskill with Red Hat AI training and certification
Boost AI skills with Red Hat's AI training. Learn to manage AI app lifecycles and gain industry certification.
Unleashing open innovation: How Diebold Nixdorf reimagined global banking on Red Hat OpenShift
Learn how Diebold Nixdorf, a global provider of banking and retail technology, is transforming its payments infrastructure by moving away from monolithic systems to a microservices architecture using Red Hat OpenShift. This shift allows it to update critical services like cryptography, card handling, and account limits independently, reducing downtime and increasing scalability.
The new currency of enterprise velocity
Andrew Brown explains how Red Hat's recent announcement with IBM on Lightwell represents a complete shift in how we show up for our customers.
Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date
Unlock operational autonomy with Red Hat Enterprise Linux Long-Life Add-On. Extend support for mission-critical workloads beyond standard vendor expiration dates. Learn more about this strategic tool for stability and business advantages.
Featured stories
Inside open source AI strategy ft. Steve Watt
Context And The True "Cost" Of AI
Red Hat AI Inference
Red Hat AI Inference optimizes model inference across the hybrid cloud, creating faster and more cost-effective model deployments
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