Name: Modernizing Storage Operations for a Cloud-Driven World
Start: 2025-05-14T18:00:00Z
End: 2025-05-14T18:00:16.000Z
Location: BrightTALK

Pure Storage (NYSE:  PSTG) accelerates possible, transforming businesses in ways previously unimagined. The company's disruptive, software-driven storage technology combined with a customer-friendly business model drives business and IT transformation for customers through dramatic increases in performance and efficiency at lower costs. Visit www.purestorage.com to learn more.

Is your VMware environment meeting the demands of scale, agility, and efficient management?

Join our experts Nelson Elam, Senior Technical Product Specialist and Johannes Geissler, Principal Technologist for a deep-dive TechTalk exploring the latest Pure Storage VMware advancements, including practical demos.

Here’s what’s in store:
- Discover how NFS datastores deliver true VM-level granular control.
- Get hands on with SLA-based provisioning, natively in VMware, for seamless management across all your arrays.
- Learn how Pure Fusion™ integration empowers unified automation and rapid modernization.

VMware and Storage: NFS Datastores Deep Dive and Pure Fleet Integration

Manually managed infrastructure and workflows are quickly becoming part of legacy IT operations. Automation has moved to the forefront and Pure is bringing technical innovation to every product in our portfolio. These expert-led demonstrations will show you how Pure’s Enterprise Data Cloud (EDC) brings order to complex infrastructure with real automation; policy-driven, telemetry-aware, and built for compliance and resiliency. First, we’ll show you how AI Copilot assists in automating workflows across block, file, and object storage like its second nature. Then we’ll dive into Pure Fusion automation, where provisioning is based on your desired outcomes, and compliance and performance just work.

Key Takeaways:
- EDC turns storage into intelligent data management—breaking silos, automating control, and powering AI at enterprise scale.
- Pure’s workflow automation eliminates manual tasks with AI-driven, policy-based actions—boosting speed, consistency, and control across your data estate.
- Pure Fusion delivers self-service, outcome-based provisioning, so IT can move faster, scale effortlessly, and stay in control without complexity.

Accelerated Workflow Automation & the Enterprise Data Cloud

For only the second time ever, our host Andrew Miller is joined by a guest who doesn't work for Pure Storage—Hector "Sabu" Monsegur, former technical frontman of the infamous LulzSec hacking collective and now an internationally renowned, cybersecurity expert. He'll be joined by Pure Storage Technical Strategy Director Jason Walker for his deep knowledge of our recent cyber innovations, as well as his amazing 80s movie references.

We'll leverage Hector's unique perspective and Jason's expertise to discuss:
- The current cybersecurity landscape: What Hector is seeing in the wild and his perspective on making storage an active vs. passive component for both cyber recovery and cybersecurity.
- The Pure Storage cyber resilience strategy: How our platform helps you defend against threats and recover when needed with a focus on built-In security, connected detection, and dynamic response and recovery.
- New innovations and partnerships
- New Pure Storage integrations
- What’s next: A look ahead with Hector and Jason on what they see over the horizon, from the latest exfiltration tactics to the evolving impact of AI on the cyber landscape

Ransomware and Resilience Architectures: The Missing Link

Is your SQL Server environment prepared for disruption?

Join our TechTalk to discover how Chaos Engineering—alongside Pure Storage ActiveDR™—helps you uncover vulnerabilities and build a truly reliable disaster recovery strategy for database systems.

In this session, we’ll cover:
- How Chaos Engineering tests weaknesses in SQL Server and Pure Storage environments.
- How ActiveDR enables disaster recovery testing without risking downtime.
- Practical insights for boosting uptime, resilience, and peace of mind.

Chaos Engineering to Build Resilient Database Systems

In this webinar, Andy Gower, Director of Product and Solutions Marketing for Portworx by Pure Storage, discusses how to accelerate cloud migration with modern virtualization. Traditional virtualization is at a tipping point, with many customers looking to migrate or modernize their Virtual Machines (VMs) to Kubernetes due to rising costs and a desire for new application stacks.

Gower identifies three main challenges on the storage side when moving to VMs on Kubernetes:
1. Mature and scalable storage:** Portworx provides self-service access to high-performance storage for mission-critical VM workloads.
2. Data management:** Portworx offers an HCI-like experience for managing data from a single control panel, providing consistent day-zero, day-one, and day-two data services.
3. One workflow for containers and VMs:** Portworx helps customers manage applications across on-premises and public cloud environments with a single workflow.

Watch this session to get great insight and learn how Portworx by Pure Storage is delivering a single, modern, app platform for all workloads running anywhere.

Accelerate Cloud Migration with Modern Virtualization Anywhere

Infrastructure owners are constantly pushed to do more with less, but legacy storage eats time and budget like it’s a competitive sport. The Enterprise Data Cloud brings everything under one control plane, automating provisioning, protection, and scaling so operations stop feeling like a ticket factory. Policies handle the grunt work, cutting costs, reducing risk, and keeping governance in check without the clipboard brigade. The result: an agile, resilient foundation that keeps pace with business demands and data growth.

Key Takeaways:

- Kill the sprawl before it drains your budget: Unify silos, redundant copies, and vendors under one control plane that actually scales.
- Stop babysitting your infrastructure: Let policies handle provisioning, scaling, and recovery so your team can get back to work that matters.
- Make resilience part of the solution: Protection, recovery, and compliance stay on by default, no bolt-ons or panic drills required.
- Stay ready without constantly ripping and replacing your infrastructure: Add workloads, meet new demands, and roll in fresh tech without starting from scratch.

Get Ahead of Data Growth: Operational Efficiency with Enterprise Data Cloud

Have you ever heard that cloud isn’t a place but rather a strategy? Join us for this month’s Coffee Break as host Andrew Miller and JD Wallace (Principal Technologist Director and Pure Report Unplugged Co-host) explore the data center and cloud landscape, how the Pure Storage Enterprise Data Cloud (EDC) strategy is based on customer conversations and where we see the industry going.

We’ll cover:
- Challenges around data control, workload variability, and budget strain
- Transformation options for storage infrastructure, IT operations, dataset management, and more
- Why EDC isn’t something you buy but instead something we help you build
- Intelligent control plane (aka Pure Fusion™)—digging into the history behind fleet management, previous failed industry attempts, and how Pure Storage is building Pure Fusion for both today and tomorrow

We’ll also get practical, looking at capabilities around fleet and remote management, presets and workloads, compliance reporting and being compliant from Day 1, built-in cyber resilience, and workload orchestration.

Cloud - A Place or a Strategy? Unpacking the Pure Storage Enterprise Data Cloud

Scaling AI requires flexibility to get started but also completeness when deploying to production. 
Learn how to build high-performance AI pipelines with Pure Storage—integrating FlashBlade®, FlashArray™, and Portworx®. Join Field Solutions Architect Emir Biser and Principal Field Solutions Architect Ian Saunders as they share insights to guide your AI success.

 Together, they’ll cover:

● Designing and building high-performance, end-to-end AI data pipelines.
● Best practices for scaling AI workloads from experimentation to production, ensuring both flexibility during development and robustness during deployment.
● Strategies for helping organizations manage data as AI systems become production-ready, managing exponential growth while maintaining simplicity and efficiency.

From Data to Insight: Building End-to-end AI Pipelines with Pure Storage

For today’s CIOs and enterprise AI leaders, the path to meaningful AI outcomes doesn’t begin with algorithms—it begins with data. From model training to deployment at scale, the foundation of successful AI lies in how organizations manage, prepare, and govern their data.

Join executive leaders from Beyond.pl, NVIDIA, and Pure Storage for a strategic conversation on accelerating enterprise AI by addressing the most critical—and often underestimated—challenge: enterprise data readiness.

This session will explore:
● How to build a future-ready AI strategy rooted in trusted, governed, and accessible data
● The evolving role of CIOs and CDOs in enabling responsible AI across hybrid environments
● Data sovereignty, compliance, and ethical frameworks shaping AI adoption in regulated industries
● Real-world lessons from Beyond.pl on powering scalable and sustainable AI infrastructures such as their GPU-as-a-service facility in Poland. 
Whether you're piloting GenAI or scaling enterprise-wide initiatives, this webinar will provide actionable insights on aligning data, infrastructure, and governance to maximize business value from AI.

Enterprise AI Unlocked: High Performance Gains Through Innovations In Data Readiness & Ecosystem Integrations at Scale

Join us for a live demo of how Pure Storage enables enterprise AI at scale—without the complexity. See how Claude Model Context Protocol (MCP) and Pure Fusion™ come together to provision a 5TB ML training job in just 60 seconds—with a simple prompt.

Discover how to move from siloed systems to a unified data platform that’s ready for anything AI throws at you.
- Understand how data readiness, governance, and automation are critical to scaling enterprise AI.
- See how AI agents can trigger complex infrastructure tasks—fast, securely, and without storage expertise.
- Identify where you are across five stages of AI maturity and uncover the most impactful next step.
- Learn how an intelligent control plane and unified platform empower IT teams to support AI workloads at scale.

Automate AI Infrastructure with the Pure Storage Platform

Explore how Portworx® Enterprise 3.3 delivers modern virtualization capabilities at enterprise scale—seamlessly integrating VM workloads into your Red Hat OpenShift environment.

Whether you're running virtualized workloads on-premises or in the cloud, this session will show you how to harness OpenShift for modern, resilient VM deployments—delivering agility, efficiency, and enterprise-class reliability.

In this live technical demo, you’ll learn how to:
- Deploy and manage stateful VMs alongside containers on Red Hat OpenShift
- Leverage unified storage, replication, backup, and high availability using Portworx storage and data management capabilities
- Conduct a live migration of an application using a MongoDB VM
- Use real-world deployment scenarios and command-line walkthroughs to showcase the end-to-end architecture and operational flow

Modern Virtualization on OpenShift: Portworx for Enterprise-scale Workloads

AI is transforming industries, but many enterprises struggle with infrastructure that can't keep up.

Join our experts as they delve into how to prepare your storage infrastructure to meet the demands of AI workloads. Find out how to maximize performance, unify data, simplify management, and plan for unpredictable AI growth.

In this webinar, you'll learn how to:
- Keep GPUs fully utilized with a storage architecture optimized for throughput and efficiency
- Eliminate data silos to create a more connected, AI-ready pipeline
- Plan for AI’s unpredictable growth without over-provisioning or re-architecting

Is Your Data Infrastructure Ready for What’s Next in AI?

If the virtualization landscape has you feeling like you’re stuck in a meeting about TPS reports with eight different bosses, you’re not alone. With uncertainty around VMware’s future, many IT leaders are being asked what they’re doing with their virtualization strategy.

Join this satirical but serious TechTalk as we dust off the old “jump to conclusions” mat to explore the four most common “conclusions” enterprises are being asked to evaluate. We’ll cover:
- Staying on VMware - Sticking with the familiar, despite the licensing and support changes.
- Choosing a new hypervisor - Considering alternatives like Proxmox or AHV and their tradeoffs.
- Moving to the cloud - Running your VMs on hyperscale infrastructure like AWS or Azure.
- Modernizing with KubeVirt - Embracing a Kubernetes-native model that supports both VMs and containers.

What would you say your virtualization does here?

The cloud offers multiple paths for virtualization. But, which one is right for your organization? Whether you’re leveraging a managed service like Azure VMware Solution or using cloud native VMs, each approach has its trade-offs in cost, control, and complexity.

Discover how to modernize virtual environments in the cloud—in a way that works for you. Join Principal Technologist Valerie Harrison and Principal Technical Product Specialist Kyle Grossmiller as they break down the key differences between managed and DIY cloud virtualization and share how Pure Storage cloud solutions support both strategies.

Together, they’ll cover:

- Architectural trade-offs between managed services (e.g., Azure VMware Solution, AWS Elastic VMware Service) and native VMs in the cloud.
- How to optimize for costs and control with Pure Storage solutions with any cloud strategy.
- How Pure Storage enables flexible, scalable virtualization—no matter how you build in the cloud.

Virtualization in the Cloud: Managed, DIY, or Both?

Ransomware attacks are more relentless than ever—46% of organizations face attempted breaches at least once a month. The question isn’t if an attack will happen, but when. Is your data protection strategy strong enough to recover?

Discover how zero trust data resilience can safeguard your business against cyber threats. Alex Arcilla, Principal Analyst at Enterprise Strategy Group, now part of Omdia, will share insights from her latest technical review on building a cyber-resilient data strategy with Pure Storage and Veeam. She’ll be joined by Jason Walker, Technological Strategy Director, Cyber Resilience at Pure Storage, and Mark Polin, Senior  Solutions Architect, Product Management Alliances, at Veeam, to discuss how organizations can strengthen their defenses against ransomware and ensure rapid recovery.

Together, they’ll cover:

- The latest ransomware trends and their business impact
- Why zero trust is the foundation of modern data protection
- How Pure Storage and Veeam deliver end-to-end data immutability and rapid recovery
- Real-world case studies of organizations bouncing back after an attack
- Practical strategies to simplify backup and recovery—without adding complexity

Establishing Zero Trust Data Resilience with Pure Storage and Veeam

Ransomware attacks and large-scale IT disruptions are becoming more frequent, more complex, and more costly. Traditional backup alone can’t keep up. To maintain business continuity in the face of unpredictable threats, organizations need a layered data resilience strategy that leverages secure and resilient storage as a foundation.

Join Jason Walker, Technical Strategy Director at Pure Storage, to hear practical insights on how to prepare for and respond to today’s evolving cyber and disaster scenarios. The session will be hosted by Jason Langer, Senior Technical Evangelist at Pure Storage.

Preparing for the Next Attack: Building a Stronger Data Resilience Strategy

Cyberattacks demand resilient, automated recovery. This talk explores how layered resilience—built on immutable storage, secure replication, and intelligent automation—ensures data integrity and rapid recovery at any scale.

Discover how layered resilience eliminates recovery bottlenecks and defends against ransomware and insider threats by uniting security and data availability across your data estate.

Unbreakable Cyber Recovery: The Power of Layered Resilience

This month, host Andrew Miller invites SQL DBA and Microsoft MVP Anthony Nocentino (Senior Principal Field Solutions Architect at Pure Storage) to the virtual breakroom for the third time.
We’ll cover:
- The AI Shift into enterprise databases - Something many didn’t expect but makes sense once you dig into the reasons
- RAG architectures and relational databases - Exploring AI-ready, secure, and high-performance features
- Vector indexing in SQL Server 2025 and Oracle 23 AI - Real world reasons to use SQL Server (for instance) as a Vector Datastore
- FlashArray™ performance testing and data - So much performance for all workloads and especially databases. We’ll also share the results of recent performance testing from Pure Storage and its newest, fastest ever FlashArray - FlashArray//XL™ 170 R5

As always, we’ll keep it educational while exploring how Pure Storage offers capabilities and products that benefit you.

Database Performance Unleashed: Where AI and Enterprise Meet

Architectural innovation has become essential for organizations seeking to balance decentralization with control, or struggle for real-time insights while maintaining robust data governance and compliance.

This session presented by industry thought leader Donald Farmer covers practical strategies for reducing vendor lock-in, optimizing cloud and on-premises workloads, and ensuring data quality at scale, all while leveraging AI to automate and enhance governance.

Attendees will discover how forward-thinking enterprises are reimagining their data architectures to maximize agility, trust, and business impact.

Architectural Innovation for Insight and Governance at Scale

The data and analytics landscape is undergoing a profound transformation. Emerging trends in Gen AI, open table formats, collaborative analytics, and next-generation data platforms are converging to reshape the future of data architecture. In this webinar, we'll explore how:
- Gen AI is revolutionizing data roles and workflows. 
- Open table and open file formats are breaking down data silos, enabling seamless collaboration, and democratizing data access.
- Next-generation data platforms, including data lakehouses on data meshes, are emerging as powerful paradigms for managing distributed, decentralized data ecosystems

We'll delve into the architectural principles, design patterns, and implementation strategies that define these next-gen data platforms. Participants will gain insights into:
- Creating more flexible, scalable, and domain-oriented data infrastructures.
- Adapting to rapidly changing business requirements.
- Harnessing the power of Gen AI, open standards, and collaborative analytics.

Join us as we explore the pivotal trends and technologies transforming data architecture. Discover how to design and implement a unified data architecture that drives business innovation, scalability, and reliability.

Unifying Data Architecture for the Future: Gen AI, Open Standards, Collaborative Analytics, and Next-Gen Data Platforms

As organizations scale, managing data across diverse platforms and environments becomes increasingly complex. A modern data architecture must be flexible, scalable, and integration-ready to support real-time decision-making, AI-driven analytics, and regulatory compliance. In this session, we will explore:
1. The core principles of a resilient data architecture. 
2. Strategies for seamless multi-cloud and hybrid integration.
3. How to balance performance, security, and cost efficiency.
4. Best practices for future-proofing your data ecosystem.

Attendees will gain actionable insights to enhance data agility, optimize integration workflows, and maximize the ROI of their data infrastructure.

Future-Proofing Data Architecture: Strategies for Scalable and Seamless Integration

Learn what it really takes to make substantive AI progress. Tune into this talk to learn the seven tenets of enterprise transformation in the AI era which underscore both the current data situation of many companies and how to leverage this technology for the best results. 

1. Despite the long-standing hype, AI currently only includes natural language processing, not understanding. 
2. To make the best use of the AI, enterprises must build a modern knowledge foundation, i.e., data that’s logically connected, contextualized and extensible with the help of shared, interlinked, symbiotic graph data models. 
3. Organizations can’t be data mature if they’re not in data sharing mode whenever possible or pushing the data sharing envelope. Holding onto data doesn’t make sense if you’re not sharing with the partners who need what that data can provide. 
4. Transformation doesn’t matter if you’re not providing enterprise-wide and even boundary-crossing transparency in the process.
5. It doesn’t make sense to buy “AI products” without having the ability first to feed the AI the best, high quality, relevant, disambiguated data relevant to your business. 
6. Most of the AI software providers out there aren’t focused on helping you solve your data problems.
7. Most enterprises have huge, unresolved data problems. Therefore, most enterprises won’t benefit all that much from AI until they move up the data lifecycle management learning curve.

This talk will explore what effective transformation looks like in the age of AI and provide best practice guidance from organizations in leading industries.

About the Speaker
Alan Morrison is an independent consultant and freelance writer on data tech and enterprise transformation. He has a contributor to Data Science Central and TechTarget with over 35 years of experience as an analyst, researcher, writer, editor and technology trends forecaster, including 20 years in emerging tech R&D at PwC.

7 Tenets of Data and Enterprise Transformation in the AI Era

As data continues to grow in volume, variety, and velocity, emerging technologies like artificial intelligence (AI), machine learning (ML), and automation are reshaping the landscape of data management. 

This session from industry thought leader Efe Ogolo explores how these innovations are driving smarter data governance, real-time decision-making, and enhanced data quality. Join Efe Ogolo, as he discusses the strategic implications of AI-driven data pipelines, the rise of autonomous data platforms, and how organizations can future-proof their data ecosystems in this era of intelligent data management.

Manage Data for the New Era with Emerging Technologies

Digitalization and artificial intelligence (AI) are revolutionizing the process industry by capturing and leveraging tacit knowledge -- insights and expertise that are often unspoken and deeply embedded in the workforce. Through advanced data analytics, machine learning, and AI-driven decision support systems, manufacturers can now extract and codify this implicit knowledge. 

What You Will Discover in this Session:
1. Capturing Tacit Knowledge: Learn how AI can capture and codify tacit knowledge from experienced workers using AI tools, ensuring valuable expertise is retained and utilized.
2. Optimizing Operations: Discover how AI can optimize various aspects of operations, such as predictive maintenance, process optimization, and real-time monitoring, leading to increased efficiency and reduced disruptions and downtime.
3. Case Studies and Best Practices: Study real-world examples and best practices from leading companies that have successfully implemented AI and digitalization strategies.

This workshop, presented by CEO Andreas Eschbach will equip you with the knowledge to leverage digitalization and AI for improving efficiency and competitiveness in the process industry.

Unlocking Human Knowledge: Harnessing AI and Digitalization in the Process Industry

Managing data at scale presents challenges in accuracy, consistency, and accessibility. AI is reshaping this landscape by automating data quality monitoring and enabling natural language interactions for faster insights.

This session explores two AI-driven advancements in data management. AI-powered data quality and anomaly detection addresses inconsistencies by identifying duplicate records, detecting anomalies, and enforcing validation in real time. Natural language querying removes complexity from data access, allowing users to ask questions in plain language and receive structured responses without technical expertise.

Tune into this session to discover how implementing these innovations can reduce manual intervention, improve reliability, and make data-driven decision-making more efficient.

AI-Driven Data Management: Enhancing Accuracy and Accessibility

New Age of Managing Data

Storage operations are at a turning point. Legacy infrastructure and manual processes can’t keep pace with the demands of modern IT, especially in a world driven by hybrid cloud, AI workloads, and constant change.

In this fireside chat, two technology leaders explore how forward-thinking teams are simplifying operations, eliminating silos, and adopting a cloud operating model for storage.

Join us for this webinar:
● Gain real-world insights on transforming day-to-day management into strategic advantage
● Discover how a unified, as-a-service platform helps teams do more with less.

Modernizing Storage Operations for a Cloud-Driven World

Storage Platform

Modern IT

Hybrid Cloud

AI Workloads

As-A-Service Platform

Storage as a Service

Data Management

Storage Operations

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Modernizing Storage Operations for a Cloud-Driven World

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