AI Can Write Your Data Platform. Who’s Going to Keep It Running?
AI can write SQL, generate pipelines, build infrastructure, create database migrations, and even diagnose production problems. But what happens when it confidently does the wrong thing? As AI becomes part of how we build and operate modern data platforms, the key question is no longer just, “Can AI generate this?” It’s whether we can trust the result, deploy it safely, observe what happens, and recover when things go wrong. Join Hamish Watson for a practical session on bringing AI-assisted development into production reality. Drawing on experience across SQL Server, cloud platforms, Databricks, and database DevOps, Hamish will explore how version control, CI/CD, automated testing, drift detection, observability, and governance help keep AI-generated changes safe and recoverable. The session will include practical examples, lessons learned, and a live demo. And, because live demos rarely go exactly to plan, there may even be a surprise or two. AI might be able to write your data platform. The more important question is: who’s going to keep it running? Register for the sessionWhy Enterprises Still Need an Ontology
Data Under Pressure User Group Join us for a session with Argenis Fernandez, Distinguished Engineer at Nike, on Why Enterprises Still Need an Ontology. 📅 September 23, 2026 | 9:00 AM PST 🔗 Register: https://purestorage.zoom.us/webinar/register/WN_sK9Bkfz6QrmXxXKzLBzTCw#/registration What you'll get: Why talking the same language across your org matters A walk through the four-layer enterprise data stack A 4-cell rubric for evaluating your own ontology layer Don't miss this one if you're thinking about data architecture, governance, or how to get teams speaking a common language.
Ask Us Everything About Pure1 AI Copilot, MCP Server and Fusion
September 18 | Register Now! Got questions about AI-powered storage management? Get answers. This month we’re diving into how AI and automation can help infrastructure teams simplify storage operations at scale. See how Pure1® AI Copilot, the Pure1 Manage MCP Server, and Everpure Fusion™ work together to help you understand what’s happening across your environment, connect AI tools to operational data, and simplify management across your fleet. Learn to manage your storage with even less effort, and: Get actionable answers in plain language with Pure1 AI Copilot Connect AI agents and tools to live Pure1 operational data with the Pure1 Manage MCP Server Simplify provisioning and day-to-day management across arrays with Everpure Fusion Move from insight to action faster with an intelligent, more connected approach to operations Bring your questions for our experts, who are ready to discuss real-world AI and automation use cases and show how these capabilities can help you simplify operations while maintaining control across your Everpure environment. Register Now![CANCELED] Accelerate Watch Party #2: Everpure AI Copilot + Workflows — Intelligent Triaging & Automation (Sept 2)
Missed this session from Accelerate in Vegas? Or want to relive it up close and personal with our speakers? Join us virtually to watch this LIVE together and get your questions answered! For Accelerate Watch Party #2, we're featuring the FlashTalk "AI Copilot + Workflows" with featured speakers Anand Madhavan and Ameerul Shah. Whether you're looking to see this session for the first time or tuning in as a refresher, this is your chance to learn directly from the experts, network with peers and get real-time answers. ✏️ THE DETAILS: Date: September 2, 2026 Time: 12:00 PM Pacific Time Registration: https://purestorage.zoom.us/webinar/register/WN__CYZZsyLS9acaw-jrUxytA#/registration Pro-tips: 🗓️ Create a calendar invite with all the details already filled out, so you don't miss a beat! ❓Drop any questions you have early in the comments below or ask them live right in the chat during the session! We can't wait to see you all there! If you're planning on attending, make sure to drop a 🔥 in the comments below!Data Intelligence Impact: Know Your Data and Trust Your AI
September 3 | Register Now Today, AI has to reason and act on a fragmented data estate that most organizations struggle to understand: what is this data, where does it live, can it be trusted, and who (or what) is authorized to see it? The answer to all these questions lies in data intelligence. By embedding discovery, classification, context, and governance directly at the data layer—at the source—data becomes self-describing and trustworthy wherever it goes. In this webinar, you’ll learn: What understanding your data actually requires: discovery, classification, context, and lineage applied at the source How source-level governance flips from compliance brake to AI accelerator, especially for agents acting autonomously A way to assess whether the data your AI reasons and acts on can actually be trusted Register Now!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!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!
