Tech Field Day Coverage
Our delegate panel includes independent writers and thought leaders, and we collect their coverage of the event, Tech Field Day presentations, and sponsoring companies here.
Understanding the Impact of the AWS Outage & Cloud Infrastructure Challenges
The Techstrong Gang discusses the AWS outage, NetApp’s AI data management strategy, and Talos Linux. Following NetApp Insight, Stephen Foskett discusses NetApp’s new AI-native platform and data engine, which impressed for securely managing unstructured data. Watch Techstrong Gang every weekday for more Tech Field Day coverage!
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Understanding the Impact of the AWS Outage & Cloud Infrastructure Challenges
From Prototype to Production: Solving the Enterprise AI Deployment Problem
Organizations face challenges in scaling AI due to organizational friction, data security concerns, undefined strategic foundations, and cost and reliability issues. HPE’s Private Cloud for AI (PCAI) addresses these challenges by providing a co-engineered, turnkey solution that keeps data under organizational control, accelerates development, and offers predictable costs. PCAI combines HPE hardware, Nvidia GPUs, and software, including HPE’s AI Essentials and Nvidia’s AI software stack, to provide a comprehensive platform for AI deployment. Read more AI Infrastructure Field Day coverage by Jack Poller at LinkedIn!
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From Prototype to Production: Solving the Enterprise AI Deployment Problem
The Endpoint Has Moved to the Browser — Your Security Tools Haven’t
Jack Poller discusses the shift of endpoint computing to the browser in a recent article, highlighting how traditional security tools are lagging behind in adapting to this change. He explains that as applications and user data migrate from desktops to web platforms, the paradigm for security must evolve to address new vulnerabilities and threats. This was the topic of the SquareX presentation at Security Field Day. For more coverage on this topic, follow Jack Poller on LinkedIn.
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The Endpoint Has Moved to the Browser — Your Security Tools Haven't
Hammerspace Embraces Standards at AIIFD3
Mark Houtz discusses how Hammerspace is adopting standards at the AI Infrastructure Field Day event, emphasizing the company’s commitment to integration and industry conformity. He explores the significance of these standards in enhancing operational efficiency and ensuring compatibility across diverse systems. For more extensive coverage on this topic, visit the contributions by the delegates on their blogs and at LinkedIn!
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Hammerspace Embraces Standards at AIIFD3
Tariffs, AI Adoption & The Unstructured Data Problem
The Techstrong Gang discusses the intricate impact of tariffs on global IT industries, highlighting their potential to alter production and market dynamics They further explore the accelerated adoption of AI technologies, underscoring how businesses are grappling with the burgeoning challenge of managing unstructured data. Stephen Foskett connects this to the recent NetApp Insight event, which focused on presenting data for use by AI applications.
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Tariffs, AI Adoption & The Unstructured Data Problem
Conduct your Edge Application Orchestra with Zededa
Alastair Cooke explores how Zededa simplifies orchestrating edge computing applications, emphasizing its solutions that facilitate IT professionals in managing remote computing resources effortlessly. He highlights the operational benefits and scalability offered by Zededa, positioning it as a practical choice for businesses looking to optimize their edge computing strategies. For more insights on this topic, follow Alastair Cooke’s coverage on LinkedIn Pulse.
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Conduct your Edge Application Orchestra with Zededa
Why Your GPUs Are Waiting: The Data Speed Problem in AI Workloads
In this insightful article by Jack Poller, the focus is on the frequently overlooked issue of data speed bottlenecks that significantly hinder GPU performance in AI tasks. Poller explains how the inadequate pace of data delivery to GPUs can lead to underutilization, slowing down the process despite the rapid computational abilities of GPUs. Explore further coverage of Hammerspace at AI Infrastructure Field Day on LinkedIn!
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Why Your GPUs Are Waiting: The Data Speed Problem in AI Workloads
Your EDR Can’t See Inside Browsers — What SquareX Proved at Security Field Day 14
Marian Newsome recently highlighted a critical gap in cybersecurity: most Endpoint Detection and Response (EDR) systems fail to monitor activities within web browsers. During a presentation at Security Field Day 14, she discussed how SquareX’s Pro offered an innovative solution to this oversight, ensuring enhanced security monitoring. For additional insights into this topic, follow Marian Newsome’s coverage on LinkedIn Pulse.
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Your EDR Can’t See Inside Browsers — What SquareX Proved at Security Field Day 14
NetApp Insight 2025: Data for AI – Building the Intelligent Data Platform
Jason Benedicic provides a comprehensive overview of NetApp Insight 2025, focusing on its theme “Data for AI: Building the Intelligent Data Platform.” He discusses how NetApp is catering to the growing need for AI-integrated data solutions that enhance efficiency and intelligence across business systems. For further coverage of NetApp Insight 2025, watch LinkedIn!
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NetApp Insight 2025: Data for AI - Building the Intelligent Data Platform
Microsoft Positions Sentinel For Agentic Security
Writing at Forbes, Justin Warren discusses Microsoft Sentinel’s strategic positioning to enhance agentic security solutions. He explores the ways in which Sentinel empowers organizations to proactively manage security threats by leveraging advanced AI and machine learning capabilities. Watch for more coverage of our recent Tech Field Day Exclusive event with Microsoft!
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Microsoft Positions Sentinel For Agentic Security
AI Acceleration, Chip Competition & Market Overheating
The Techstrong Gang explores the intensifying competition within the AI chip market, highlighting how this rivalry is leading to innovations and challenges, including market overheating. They examine the impact on businesses and their technology strategies, particularly focusing on the acceleration of AI capabilities and its implications for industry standards. They also discuss the implications of AI on security, as recently discussed during the Microsoft Security special event with Tech Field Day.
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AI Acceleration, Chip Competition & Market Overheating
AI-Ready Storage Explained: Hammerspace’s Unified Data Solution
Hammerspace offers a unified data solution for AI workloads, aggregating storage infrastructure into a single namespace for high-speed data access and improved GPU utilization. They are also leading the Open Flash Platform initiative for efficient exabyte-scale data storage. Read more coverage of AI Infrastructure Field Day on Techstrong AI!
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AI-Ready Storage Explained: Hammerspace's Unified Data Solution
The Principle of the Hidden Key
1Password’s approach to agentic AI security emphasizes deterministic authorization, ensuring every action is traceable and secure. Their Security Principles for AI prioritize keeping secrets secret, ensuring auditability, and minimizing exposure. This is implemented through the Model Context Protocol (MCP), which allows AI to interact with systems without accessing credentials, and partnerships like Browserbase for secure autofill. Read more coverage of Security Field Day by Vriti Magee on her blog!
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The Principle of the Hidden Key
When Networks Learn to Flow
Nile’s Zero Trust architecture simplifies enterprise security by integrating it directly into the network, eliminating the need for complex overlays. Their approach, based on the “Power of Zero,” emphasizes Zero Trust, Zero Touch, and Zero CapEx, ensuring every device is secure by default and operations are autonomous. By focusing on identity-based security and removing unnecessary human dependency, Nile aims to make network security as seamless as possible. Read more Security Field Day coverage on Vriti Magee’s blog!
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Inside the Tab
Vriti Magee follows SquareX’s Security Field Day presentation on Browser Detection and Response. They focused on understanding browser-based attacks by observing user interactions within the browser. Their architecture, consisting of a browser extension and a web policy platform, enables real-time threat prevention by enforcing policies at the browser runtime. This shift from control to understanding emphasizes the importance of context-based visibility in cybersecurity.
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How CTERA Plans to Fix What’s Breaking Enterprise AI
CTERA is tackling the complexities that hinder enterprise AI by enhancing data management and storage solutions, ensuring robust and scalable infrastructure. By focusing on fixing bottlenecks related to data accessibility and management, CTERA aims to streamline operations and support advanced AI deployments. For more coverage of CTERA’s initiatives, follow updates by Jack Poller and others on Techstrong AI.
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How CTERA Plans to Fix What's Breaking Enterprise AI
AI Safety Rules and the Future of Data Centers
In this episode of Techstrong Gang, the panel explores the emerging dialogue around AI safety rules and their anticipated impact on future data center operations, addressing growing concerns over AI reliability and security. They also examine the potential influence these regulations could have on architectural and strategic shifts within data center ecosystems. The episode includes coverage of the recent AI Infrastructure Field Day event in a long segment.
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AI Safety Rules and the Future of Data Centers
The AI Infrastructure Paradox: When Buying GPUs Is Just the Beginning
Rafay is an AI cloud enabler that automates the AI stack, simplifying infrastructure orchestration and reducing costs for large enterprises. It offers multi-tenancy, standardization, and application-centric delivery, empowering organizations to operationalize AI without extensive internal development. Watch for more coverage of AI Infrastructure Field Day on LinkedIn!
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The AI Infrastructure Paradox: When Buying GPUs Is Just the Beginning
Transforming GPU-as-a-Service into AI Cloud with Rafay
The conversation around AI infrastructure often focuses on hardware, but the real opportunity lies in bridging the gap between renting raw GPU power and delivering a true, self-service AI cloud experience. A true AI cloud must offer self-service consumption, robust multi-tenancy, and an application-centric approach to simplify infrastructure complexity. Rafay’s platform helps GPU providers and enterprises build and operate AI clouds, offering automation, governance, and cost-effective solutions tailored for AI infrastructure. Watch for more coverage of AI Infrastructure Field Day on Techstrong AI!
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Transforming GPU-as-a-Service into AI Cloud with Rafay
My First Cartel Meeting (and What It Taught Me About DNS)
Vriti Magee shares a fascinating narrative of an unconventional encounter that illuminated the complexities of DNS, showing its pivotal role in online security and network operations. Through this personal experience, Vriti highlights the significance of understanding DNS not just as a technical component, but as a crucial part of broader cybersecurity strategies. For more insights following Security Field Day, subscribe to Vriti’s blog!
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