How to manage a large fleet of AI models with Red Hat

Handling dozens—or thousands—of AI models can become overwhelming. Red Hat breaks down the MLOps challenge and offers a clear, actionable path to keep your model lifecycle structured, predictable, and compliant. Check out the article.

Atlassian Team ‘25 Europe spotlighted a bold vision: AI is here. Discover how Atlassian is driving AI agent-assisted workflows: https://oal.lu/1p2NL

Amplitude Unveils AI Feedback to Instantly Decode and Act on What Customers Want https://ow.ly/Zhov50XqUPY #MarTech #MarketingTechnology #MarketingTech #AdTech #ContentMarketing

Launching a new AI feature? Learn how Miro leveraged Stigg to monetize its new AI features in under 6 weeks 🤯 https://lnkd.in/d8EUTAab

The next generation of AI demands next-level infrastructure. The most common yet powerful AI use cases, like the ones below, come with their own set of intensive requirements. Check out our blog to find out what it takes to support enterprise-scale AI: 🔗 https://lnkd.in/dZv8WAGr

No rocket ever reached space without an engineered launchpad built for ignition pressures and liftoff force. Likewise, AI projects fail without infrastructure designed for speed, scale, and security. AI is like a rocket - it can only soar if the launchpad supports extreme forces and rapid liftoff. Most enterprises fuel their AI ambitions and launch on old legacy systems but lack the engineered infrastructure to launch effectively. Future Tech Enterprise, Inc. builds these launchpads - custom high-speed compute, ultra-low latency networks, and scalable storage designed for real-world AI complexity and compliance that get enterprises off the launchpad and into orbit. What’s the biggest challenge stopping your AI from flying? Let's talk and read our AI Insights: https://Inkd.in/dZv8WAGr

The hardest part of AI isn’t building the models—it’s making them work where you need, at a price you can afford. ✨Red Hat AI 3 tackles this challenge with efficient inference, simpler data access, and practical tools for delivering AI agents. https://red.ht/46OSfph

Picking between custom AI models and off-the-shelf solutions? 💡🤖 Our ROI breakdown has the answers (and a few laughs). Dive in before your next big AI move! Read the full scoop: https://lnkd.in/gYmbaEp4

ICYMI: From Buzzword to Business Tool: How Local Salinas SMBs Can Use AI Safely and Effectively: AI for SMBs: Local Business Guide — from buzzword to business tool: how local smbs can use ai safely and effectively — practical steps for secure AI adoption. http://dlvr.it/TPF0Pf

🔒 Threat Model Thursday: Securing AI Systems with MAESTRO & IriusRisk As AI becomes more deeply integrated into our products and workflows, understanding its risks isn’t optional — it’s essential. That’s why IriusRisk supports threat modeling for AI systems using the MAESTRO framework, helping security teams identify, assess, and mitigate risks unique to machine learning and agentic AI architectures. Whether you’re an Application Security Architect, Engineer, or CISO, the ability to visualize and automate AI-specific threats gives you the confidence to design secure-by-default systems — without slowing innovation. And if you have questions, the timing couldn’t be better… Learn what Agentic AI is and how to threat model these systems effectively — and earn your certification in the process. 👉 Enroll here for free: https://hubs.li/Q03PR3Dc0 #ThreatModelThursday #AIWeek #ThreatModeling #IriusRisk #ApplicationSecurity #AI #MAESTRO #AgenticAI #SecureByDesign