Webinars
Top 5 Takeaways from Microsoft Ignite 2025
Microsoft Ignite 2025 is set to deliver some major announcements around AI, data, and performance and we’re ready to break them down.
Join us after Ignite as Silk’s Stig Panduro and Ori Weizman share our Top 5 Takeaways and what they mean for enterprises building the next generation of cloud-powered innovation on Azure.
Delivering and Masking Critical Patient Data for the Full Development Lifecycle
Keeping data secure in the cloud is critical, especially in highly regulated industries like healthcare, with HIPAA and privacy regulations. In this webinar, we will talk about how to use database snapshots and data masking to securely bring data to development environments. We will use an example case study from Sentara Healthcare.
We will cover:
• The current challenges in securing patient data
• The definition and importance of data masking
• How to implement data masking in the development lifecycle
• Tools and technologies for effective data masking
• Future trends in data security and masking
Trends in Cloud Repatriation
According to findings from TechTarget’s Enterprise Strategy Group (ESG), 54% of organizations have had to switch back to on-premises after an initial cloud migration.
Cloud repatriation, or the forced move of applications and environments from the cloud back into the on-premises data center, represents a disaster that many organizations would rather avoid.
To help organizations manage their cloud resources more effectively and save themselves from cloud repatriation, ESG and Silk have partnered together to produce this BrightTALK Custom Talk webinar.
Tune in to the full discussion to learn strategies you can implement to prevent cloud repatriation.
How I Achieved 20 GB/s of Throughput on a Single Cloud VM
Discover how renowned database consultant Tanel Poder achieved an astonishing 20 GB/s on a single cloud VM using the Silk Platform. Join Silk’s VP of Product, Tom O’Neill, and Tanel himself as they break down the performance test, the impressive results, and how you can achieve similar outcomes for your workloads.
This webinar is available on demand—watch anytime to unlock the full potential of your cloud environment!
AI Transformation Unleashed: Stories from Silk Customers and Microsoft Experts
Join industry leaders from Franciscan Health, PTC, and Sentara Healthcare as they share how AI is transforming their operations. In this roundtable, you’ll hear real-world insights into their AI adoption journeys and how Silk’s software-defined cloud storage helps them realize the full potential of their data. The session also features a keynote from Eduardo Kassner, Chief Data and AI Officer at Microsoft, on the latest trends in AI and data innovation. Walk away with practical lessons and inspiration to accelerate your own AI strategy.
Cost-Performance with a Side of AI: Cut RDBMS Costs, Prep Data for AI, and Fund Your Next-Gen Projects
Enterprises running mission-critical RDBMS workloads on Azure face constant trade-offs between performance and cost. In this webinar, Silk and Microsoft share how their collaboration improved real-world database performance. You’ll learn how to optimize cloud performance, lower spend, and prepare production data for AI in near real time. Walk away with a blueprint for maximizing efficiency and fueling next-generation innovation.
Inside the Lab: Testing AI-Powered Vector Extensions in Databases
AI is transforming how databases work—and few know this better than Tanel Poder. Join Silk VP of Product Tom O’Neill and Tanel for a deep dive into vector extensions, AI capabilities, and real-world performance benchmarks. You’ll see how his testing reveals practical applications like personalization and fraud detection while uncovering new paths for database optimization. Want the full story? Explore Tanel’s detailed blog series after the webinar.
Inside the Cloud Journeys of Healthcare Providers and Payers: What’s Working Now
Healthcare organizations are at a turning point in their cloud journey, balancing cost, efficiency, and the promise of AI-driven innovation. In this webinar, OptaFi COO Scott Mayo and Silk’s David Berliner share real-world examples of how leading providers and payers are optimizing systems like EHRs and claims processing. You’ll see how to realize savings, boost performance, and power advanced health analytics for a competitive edge. Walk away with proven strategies to future-proof your healthcare cloud environment.
4 Cloud Data Practices Every Healthcare Organization Should Be Using
Cloud data strategies in healthcare are evolving fast, and innovators like Sentara Health are leading the way. In this webinar, you’ll discover four proven practices transforming how healthcare IT teams manage, scale, and secure their data. We’ll walk through real-world lessons from Sentara’s modernization of their TriZetto QNXT environment, including faster data access, lower cloud costs, and secure Dev/Test/AI environments. If you’re modernizing your healthcare data strategy, this session offers time-saving and cost-saving tips.
How Silk Delivers 10x Performance at 40%+ Lower Cloud Cost
Looking for cloud infrastructure that delivers both speed and savings? Meet Silk—the cloud storage platform engineered to deliver up to 10x faster performance at 40%+ lower cost. In this webinar, Silk experts David Berliner and Ori Weizman explain how Silk’s architecture powers the most demanding workloads, from Oracle to mission-critical applications. You’ll see real benchmarks, customer results, and how Silk enables AI-ready performance in the cloud.
AI Runs on Real-Time Data — But Is Your Infrastructure Ready?
GenAI workloads like chatbots, fraud detection, and RAG demand instant, low-latency access to production-grade data, but most enterprise systems weren’t built for it. As AI agents interact directly with systems of record, teams face new challenges: performance degradation, governance gaps, and runaway costs. In this webinar, we’ll discuss what breaks when AI meets legacy storage and how to re-architect for real-time, scalable AI. You’ll learn practical strategies to deliver fast, resilient AI operations without compromising performance or data integrity.
5 Cloud Strategies for Mission-Critical Data in the Age of AI
Moving mission-critical data to the cloud brings big advantages, but also serious challenges. Many organizations face rising costs, inconsistent performance, and slower access to critical data. These issues can stall innovation and hold back AI and analytics initiatives. In this webinar, Silk and Atos share five practical strategies to optimize your data for cost, performance, and AI readiness.
The FinOps Survival Guide for Cloud Databases
Cloud database costs aren’t just high — they’re hiding in places easy to overlook. Unused capacity. Overprovisioned instances. Hidden storage fees. Inefficient backups. Full clones of data. Premium services you don’t actually need. For FinOps teams, these silent budget drains add up fast, turning your monthly cloud bill into a runaway train.
In this webinar, we will show you exactly where cloud database costs are hiding and how to recover them without sacrificing performance. We’ll explain why a Total Cost of Ownership (TCO) analysis is the key to making cloud database decisions, and how to use our simple cost calculator to put hard numbers to your savings potential.
Choosing the Right Azure Storage for High-Performance Databases
Running mission-critical databases in Microsoft Azure? The right storage choice can mean the difference between peak performance and costly bottlenecks.
In this webinar, we’ll walk through the Azure storage options best suited for high-performance database workloads. You’ll learn how to align storage with your performance and cost goals—and how the right approach not only supports today’s databases but also gets you ready for AI-driven analytics and applications that need fast access to massive data sets.
By the end, you’ll have a clear picture of which Azure storage options deliver the best results now and how to prepare your environment for the AI demands ahead.