New IDC Research: Is Your AI Stack Ready? IDC Settles the Debate
July 9 | Register Now More than half of enterprise AI projects never make it to production and new IDC research reveals the surprising reasons why. Join us to see the exclusive results from our joint global survey of 1,300 organizations. This session will uncover what separates AI leaders from those stuck in pilot purgatory, including critical findings about data security, GPU underutilization, and the hidden time tax that slows data scientists. See how your AI maturity stacks up against IT peers and learn the concrete steps that leading organizations are taking to move from experimentation to mastery. Key takeaways include: New research that uncovers what’s stalling enterprise AI initiatives Which infrastructure and data decisions actually predict AI project success How your organization benchmarks against the IDC AI Readiness Index What leading enterprises are doing differently to achieve ROI Register Now!Guarantee Data Availability: How to Create a Snapshot Bunker
June 23 | Register Now! Without data integrity and availability, recovery is difficult and may take days or even weeks. Everpure prioritizes remediation and recovery as the critical path to cyber resilience. Data availability is the foundation for reliable remediation and rapid recovery, enabling organizations to restore data regardless of the severity of a disaster or cyberattack. Why a snapshot bunker is the cornerstone of effective layered resilience Key considerations for architecting the bunker to ensure survivability How to set up and operate a snapshot bunker Register Now!See It Before It Happens: Predict and Fix Infra Issues Early
June 25 | Register Now! Database and infrastructure teams often struggle to predict how changes will affect application real-world performance, capacity, and service levels. Without clear visibility into where applications are running and how they consume resources, even small adjustments can introduce unexpected latency, IOPS bottlenecks, or capacity shortfalls, making troubleshooting slower and increasing the risk of missing SLAs. Join us and learn how to: Use scaling simulations to predict impacts on latency, IOPS, and capacity before changes are made. Apply data intelligence to identify where applications are running and how they consume resources. Improve performance planning and reduce troubleshooting time while maintaining stronger adherence to SLAs. Register Now!Architectural Deep Dive: Building Data Pipelines for AI Agents
May 7 | Register Now! The leap from a "hello world" AI agent to a production-ready system is a massive data challenge. Autonomous agents are coming your way, and it's up to you to figure out how to get your data stack ready for production. In this live session, we'll build a high-velocity data pipeline for AI agents from scratch. Starting with the fundamentals of a strong data storage foundation, we'll walk through every layer end-to-end. We'll cover real-time data ingestion, vector storage, retrieval, orchestration, and inference. In this session you’ll learn: How to build a production-ready data storage pipeline for AI agents The foundational decisions IT, Data, and AI teams need to make to handle "context lag" and memory before the first agent goes live A practical framework for assessing whether your current infrastructure is ready to support AI agents at scale Register Now!Bring your hardest questions Building an AI Factory Live with FlashStack
April 21 | Register Now! Most organizations racing to build AI infrastructure are assembling point solutions that create hidden bottlenecks before a single model ever trains. This session cuts through the complexity with a live, practitioner-led walkthrough of the Everpure and Cisco FlashStack® for AI CVD—a proven reference architecture purpose-built for the NVIDIA AI Factory. Experts from Everpure will show you exactly how FlashStack eliminates the guesswork from AI infrastructure deployment, from storage and networking to compute and data pipeline readiness. Key takeaways include: Why a CVD-backed reference architecture reduces deployment risk and accelerates time-to-AI How FlashStack integrates with NVIDIA technologies to support training, inference, and agentic workloads at scale Perspective on what enterprises get wrong when standing up AI infrastructure—and how to avoid the most costly mistakes Register Now!Unlock AI Capabilities: Best Practices for Risk-Free Oracle 26ai Upgrades
April 16 | Register Now! Upgrading to Oracle AI Database 26ai with AutoUpgrade simplifies the database process. Yet many teams can struggle with the storage infrastructure risk from performance variability, downtime and operational complexity during the transition. This session explores how to remove this infrastructure friction from Oracle 19c to 26ai upgrades by leveraging non-disruptive storage operations, snapshot-based rollback, and consistent performance at scale. Learn how to: Upgrade to Oracle 26ai using infrastructure best practices Align to a unified data platform Provide a stable foundation for AI-enabled workloads Register Now!Click. Configure. Run. Presets and Workload Setups for Consistent Database Environments
March 24 | Register Now! As database estates scale, DBAs spend an increasing amount of time re-validating the same storage constructs, compliance, and more—rather than improving database reliability and recoverability. This walkthrough demonstrates how workload-aware presets encapsulate these requirements into reusable, prescriptive configurations for well-defined database environments. By decoupling database intent from underlying storage mechanics, DBAs apply consistent protection, performance, and governance policies without per-database tuning or scripting. The result is deterministic behavior across the estate, faster deployment, and reduced operational risk as environments grow. Join us to learn about: Repeatable configuration at scale: Presets enforce consistent snapshots, QoS, naming, and retention across all databases. Policy-driven orchestration: Database workload intent is applied through templates, not scripts or manual configuration. Predictable recovery behavior: Consistent workload delivers reliable, high-performance restores with less risk. Register Now!New IDC Research: Building Data Infrastructure for AI
March 5 | Register now! What's behind AI agents that are fast, safe, and reliable? It starts with smarter data infrastructure. Pure Storage and IDC have been studying what separates organizations that are pulling ahead in AI from those that are stalling. Join us to see the research, hear what's changing, and rethink your data strategy to get ready for AI. In this webinar, we’ll share: Drivers of AI performance today New IDC research on how leaders are building for AI What separates fast-movers from the rest A preview of where Pure Storage and IDC see the market heading Register Now!The Foundations of Cyber Resilience: Visibility and Indelibility
February 24 | Register now! Ransomware and operational risk haven’t gone away, yet many organizations still overlook the fundamentals that provide the strongest protection. In this back-to-basics webinar, we’ll break down how Pure Storage SafeMode™ Snapshots and Pure1® security assessments work together to form a resilient last line of defense for your data. In this live demonstration, you’ll see how they protect data integrity, accelerate recovery, and simplify security operations. Key takeaways: How immutable SafeMode Snapshots protect data from ransomware and insider threats Best practices for snapshot policies that balance recovery speed and operational efficiency What “secure by default” looks like when these features work together in real environments Register Now!FlashBlade & SQL Server: Enterprise Scale Rapid Recovery
February 19 | Register now! SQL Server estates are continually growing, and traditional backup targets often become the primary bottleneck in failing to meet aggressive recovery time objectives. Stop managing backups and start orchestrating them. Explore how Pure Storage FlashBlade®, as part of the Enterprise Data Cloud, overcomes constraints through a scale-out architecture for rapid backup and recovery throughput. We will share baseline performance data, including restore speeds exceeding 100 TB/hr, and provide practical guidance on integrating FlashBlade with native T-SQL backup using SMB and S3 protocols. Key Takeaways: Operational simplicity: Uses policy templates to eliminate manual configuration and human error. Flexible multi-protocol integration: Advantages of using both SMB and S3-compatible object storage as native backup targets, including the use of multiple Virtual Interfaces (VIFs) to maximize throughput. Optimized performance tuning: Gain insights from real-world validation data on how to balance host CPU usage and compression (using ZSTD) to achieve the most efficient backup and restore windows for your environment. Register Now!
