Enterprise Data Cloud: Managing Data, Not Just Storage
August 6 | Register Now Infrastructure teams have always managed applications. AI requires them to manage data. That's a different challenge, and most platforms weren't built for it. The Enterprise Data Cloud architecture from Everpure bridges that gap, bringing data intelligence into the same platform infrastructure teams already manage, so infrastructure and data teams are finally working from a single, unified view. In this session, we'll dig into what it means to manage a platform built for both operational performance and AI readiness, and the changes when infrastructure can finally gain visibility into its data, not just storage. Key takeaways: Why the shift from application-centric to data-first infrastructure changes how platforms need to be managed How Everpure brings data intelligence into the operational layer without adding tools, teams, or complexity What shared visibility across infrastructure and data teams actually unlocks for AI initiatives How to manage a platform that serves every workload, from archive to AI Register Now!See Everpure Data Stream in Action: Stop Prepping and Start Shipping AI
July 28 | Register Now! Most teams racing to operationalize AI are stuck on the unglamorous part: getting data ready. Fragmented pipelines, data silos, and brittle hand-offs between data engineers, data scientists, and MLOps teams stall projects long before they ever reach production. In this live session, Everpure experts will demo the new Everpure Data Stream service—our purpose-built answer to NVIDIA’s AI Data Platform and the “data prep problem”—by building an AI data pipeline in real time. You’ll see exactly how Everpure Data Stream helps AI data engineers automate AI data pipelines without manual work. Key takeaways: How Data Stream accelerates the path from raw data to a production AI data pipeline Deploying an AI data pipeline on a single, unified platform built according to the NVIDIA AI Data Platform reference design Where data-readiness bottlenecks actually hide across MLOps and AI data pipeline workflows—and how to eliminate them Why a unified platform beats stitched-together point solutions for reducing complexity, cyber risk, and cross-team friction Register Now!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!
