MinIO

Strong data is the foundation of trustworthy AI, and that starts with how (and where) your data is managed. We’re teaming up with F5 for this upcoming session to dig into a critical piece of AI infrastructure: protecting data integrity without adding unnecessary complexity. Join Raj G. and Mark Menger as they cover how centralized policy enforcement and intelligent DNS can help defend against data poisoning and ensure high-quality inputs to your models. If data sovereignty and AI security are top of mind, this one’s worth your time. 📅 May 14 ⏰ 10 AM PT 🔗 https://go.f5.net/ct2l1g4x

If you free the applications, you free yourself from the data movement problem. Open standards, portability, and reducing data gravity are increasingly important as AI drives new demands on infrastructure, storage, and applications. Garima Kapoor Ph.D tackles this topic and explores the role of open source, hybrid cloud, and evolving industry standards in shaping the future of data infrastructure with the Startup Project Podcast - AI Startups with Product Market Fit. For more insights, listen to the full interview. https://bit.ly/4daD63D

As organizations move from AI experimentation to production, well-architected data infrastructure is the true differentiator. At IDC CIO Summit Türkiye, Ugur Dede drew from 20+ years of experience in cloud-native infrastructure and distributed systems to share how enterprise AI success depends on a modern data architecture—one that is scalable, high-performance, and built to handle data-intensive workloads across analytics, AI training, inference, and beyond. Thanks for representing MinIO! 🙌

Prepare your data architecture for the future of fraud detection. Financial institutions are losing billions annually because their infrastructure can’t keep up. Modern fraud detection requires: ✅ Real-time access to massive transaction data ✅ AI-ready pipelines without duplication ✅ A unified foundation across cloud + on-prem Trusted by the world’s most demanding financial institutions, MinIO AIStor is the answer. Rethink your data layer. Reduce cost. Make AI actually work. Get the playbook today. https://bit.ly/4cKhAma

A strong example of how modern hybrid architectures can reduce complexity while improving governance. Thanks to Roland Wammers for representing MinIO on the global stage at the Data Innovation Summit and contributing to an important conversation around governance, compliance, and zero-copy data architectures for the AI era. 👏

Recognition that reflects real impact. 🎉 Congratulations to Alina Anghel and Joann R., named to CRN's 2026 Women of the Channel list, honoring more than 1,700 leaders shaping the future of the IT channel. From advancing our channel strategy to enabling partners to succeed in the AI era, their contributions continue to drive MinIO's growth. https://lnkd.in/ecVCATVk

MinIO was off to the races at Trace3 Tech Day at the Downs 🏇 It was great to see our teams connect ahead of the Kentucky Derby, where speed, precision, and performance aren’t just for the track—they’re exactly what modern data infrastructure demands. Together with Trace3, we’re helping enterprises accelerate their AI and analytics workloads with high-performance object storage that can go the distance. Because when it comes to data, you want to lead the pack.

Build the data foundation for the next era of manufacturing. AI is moving from pilot to production, and the demands on data are changing fast. What separates the organizations that succeed and the ones that don’t? A modern industrial data foundation that can: ✅ Retain high-frequency data at full fidelity ✅ Support concurrent analytics and ML workloads ✅ Scale from plant-level to enterprise-wide ops Leading manufacturers are investing in the foundation that makes AI repeatable, scalable, and operational. MinIO AIStor powers that foundation. Get the playbook to find out why. https://bit.ly/41QWAoP

If you want more data, high performance, and scale, object storage is the only choice. It's make-or-break for modern enterprise infrastructure. Ran Kurup explains why.

What changes when Databricks can query your on-premises data directly? It’s not a new system to manage or another problem to solve. It’s a new workflow. Across industries like financial services, healthcare, manufacturing, and the public sector, critical data still lives on-prem. With AIStor Table Sharing and Databricks, teams work with data where it already lives. No pipelines to build. No duplication to maintain. No delays between data and insight. The people doing the work can move faster because the data is already there. That's the shift that matters. 🔎 Go deeper with Ryan Garrett. https://bit.ly/4cBkUkG