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.
Breaking the Data Gravity Curse in the AI Factory
In the latest discussion on breaking the data gravity curse in AI environments, Alastair Cooke highlights the challenges and solutions associated with managing large data sets that inhibit the mobility of applications across different platforms in an AI-driven ecosystem. Cooke explores how organizations are innovating to overcome these obstacles, enhancing efficiency and agility in their AI operations. For comprehensive insights on AI Infrastructure Field Day 4, visit Techstrong AI.
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Breaking the Data Gravity Curse in the AI Factory
Cisco Reimagines AI Infrastructure for the Rest of Us
Alastair Cooke examines Cisco’s revamped approach to AI infrastructure, aiming to make it more accessible and efficient for broader user groups. He discusses how Cisco’s enhancements not only cater to large enterprises but also support smaller organizations striving to implement AI solutions. For a more comprehensive analysis of AI Infrastructure Field Day 4, visit Techstrong AI.
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Cisco Reimagines AI Infrastructure for the Rest of Us
Ultra-Reliable Wireless for Your Physical and Mobile AI Devices
Alastair Cooke discusses the increasing reliance on ultra-reliable wireless networks to support physical and mobile AI devices, which are integral for maintaining seamless operations in various sectors. He explores the critical need for robust connectivity solutions that ensure these AI technologies function efficiently without interruption. For additional insights on AI Infrastructure Field Day 4, visit Techstrong IT.
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Ultra-Reliable Wireless for Your Physical and Mobile AI Devices
What Solidigm Showed at AI Infrastructure Field Day 4
Gina Rosenthal provides a detailed overview of Solidigm’s presentation at AI Infrastructure Field Day 4, focusing on the latest advancements and implementations of their AI-driven storage solutions. She explains how these innovations are set to enhance data center efficiencies and optimize workload managements. For more insights on this topic, you can check out additional coverage of AI Infrastructure Field Day 4 by visiting our site.
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What Solidigm Showed at AI Infrastructure Field Day 4
Cisco Data Center Networking at AIIFD4
In his recent article, Peter J. Welcher discusses Cisco’s advancements and strategies in Data Center Networking, showcased at AI Infrastructure Field Day 4. He explores how Cisco is addressing modern data challenges through innovative infrastructure solutions aimed at enhancing performance and scalability. For more insights into AI Infrastructure Field Day 4, follow Peter’s updates on LinkedIn Pulse.
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Cisco Data Center Networking at AIIFD4
Quick Reaction: AIIFD4
Peter J. Welcher recently shared insights on the innovations and discussions from AI Infrastructure Field Day 4, highlighting key technology advancements and their implications for the industry. He emphasizes the practical application and impact of AI tools and infrastructure, providing a concise analysis to benefit professionals navigating these technologies. For more comprehensive coverage of AI Infrastructure Field Day 4, follow Peter J. Welcher’s updates on LinkedIn Pulse.
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Cisco at AIIFD4: Fine-Tuning the Network for the AI Era
In his LinkedIn article, Ken Nalbone discusses Cisco’s presentation at AI Infrastructure Field Day 4, highlighting how Cisco is optimizing its networking solutions to better support AI-driven environments. The focus is on enhancing network architecture to efficiently manage the increased data and processing demands that come with AI applications. For more insights on AI Infrastructure Field Day 4, check out the coverage on LinkedIn Pulse.
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Cisco at AIIFD4: Fine-Tuning the Network for the AI Era
How Unified Intelligence Shapes NetApp’s AI Vision
Gina Rosenthal provides an insightful analysis of how NetApp’s strategy for unified intelligence is sculpting its approach to artificial intelligence, emphasizing the integration of AI operations across different platforms. She highlights the role of cohesive data management and accessibility in enhancing AI outcomes. For more comprehensive coverage of AI Infrastructure Field Day 4, refer to Gestalt IT.
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How Unified Intelligence Shapes NetApp’s AI Vision
To Get Better Business Value, We Need Better AI Infrastructure
Alastair Cooke emphasizes the crucial role of robust AI infrastructure in harnessing maximum business value from AI technologies. He explores how advancements in infrastructure can directly enhance the performance and efficiency of AI applications, thereby impacting business outcomes positively. For additional insights into AI Infrastructure Field Day 4, explore further articles by Alastair Cooke on Techstrong AI.
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To Get Better Business Value, We Need Better AI Infrastructure
From Brownfield Complexity to Automated Fabric at Global Scale
In this insightful article by Scott Robohn, he addresses the transformation from the complexities of brownfield environments to the implementation of automated fabric on a global scale. He emphasizes the necessity for organizations to adopt streamlined and efficient networking systems, adopting a strategic approach to overcome infrastructure challenges. For further coverage from Networking Field Day 39, explore articles at Techstrong IT.
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From Brownfield Complexity to Automated Fabric at Global Scale
Managing Edge AI and Computer Vision at Scale
Alastair Cooke discusses the complexities and strategies for effectively managing Edge AI and computer vision technologies when deployed at scale. He emphasizes the importance of integrating these advanced technologies to handle real-time data processing and decision-making across diverse industries. For additional insights on Zededa’s special Tech Field Day event, visit Techstrong IT.
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Managing Edge AI and Computer Vision at Scale
Digitate ignio and the 2025 AIOps Question: Build or Buy?
Ryan Booth explores the critical decision facing organizations in 2025: whether to build or buy AIOps solutions, focusing on Digitate’s ignio as a case study. He assesses the strategic implications for IT infrastructure and the potential impacts on operational efficiency and innovation. Find more coverage of ignio by Digitate and more AI Field Day 7, watch Techstrong AI.
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Digitate ignio and the 2025 AIOps Question: Build or Buy?
Reimagining AI from a Security Risk into an Asset with Fortinet
This article explores how organizations can leverage artificial intelligence not just as a technological advancement but as a strategic asset. It emphasizes the role of AI in enhancing cybersecurity measures and the importance of integrating AI solutions with existing security infrastructures to forge robust defenses against evolving threats. For additional insights from AI Field Day 7, watch Techstrong AI.
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Reimagining AI from a Security Risk into an Asset with Fortinet
ResOps: The Convergence of Security and Operations
Alastair Cooke explores the emerging trend of ResOps, highlighting its role in integrating security practices with operational procedures to enhance enterprise efficiency and security posture. This approach advocates for cohesive teamwork and streamlined processes between traditionally separate IT departments. For additional insights from Commvault SHIFT, watch Techstrong IT.
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ResOps: The Convergence of Security and Operations
How Collaboration is Helping HPE Leverage AI in Practical Applications
This article explores how Hewlett Packard Enterprise (HPE) is utilizing AI in everyday applications through strategic collaborations. It highlights specific case studies and partnerships that are facilitating the integration of AI technologies in various sectors such as healthcare, finance, and automotive. For additional insights from AI Field Day 7, check out further coverage by Techstrong AI.
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How Collaboration is Helping HPE Leverage AI in Practical Applications
Articul8’s Vision for Unique AI Models in the Enterprise
Articul8 is redefining enterprise capabilities by focusing on the development of unique AI models tailored to individual business needs. Their approach emphasizes custom solutions aimed at enhancing operational efficiency and fostering innovative problem-solving strategies. For more insights into Articul8’s impact on AI in the enterprise, explore coverage by Techstrong AI.
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Articul8’s Vision for Unique AI Models in the Enterprise
The AI Librarian: How Microsoft Sentinel Transforms Chaos into Clarity
In a recent piece by Jack Poller, he explores how Microsoft Sentinel, an advanced security information and event management (SIEM) solution, adeptly handles and organizes vast amounts of data to create manageable, actionable insights, thus functioning akin to an AI librarian. This technology not only enhances an organization’s ability to detect and respond to threats but also simplifies the complex integration and correlation of disparate data sources. For more comprehensive analysis from our special event with Microsoft Security, watch Jack Poller’s blog.
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The AI Librarian: How Microsoft Sentinel Transforms Chaos into Clarity
Defining ResOps and the Next Era of Recovery Intelligence with Stephen Foskett
Stephen Foskett explores the concept of ResOps and its role in the evolving landscape of recovery intelligence in an insightful video. He discusses how ResOps integrates various operational strategies to enhance disaster recovery and operational resiliency for businesses. This podcast was recorded at Commvault Shift in New York.
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Defining ResOps and the Next Era of Recovery Intelligence with Stephen Foskett
Why AI Networks Fail (Even With Enough Bandwidth)
In this insightful article, Robb Boyd explores the common reasons behind the failures of AI networks, despite having ample bandwidth. He addresses various technical nuances that can hinder AI performance, such as latency issues, packet loss, and the necessity for robust network infrastructure tailored specifically for AI applications. Discover more coverage of Networking Field Day 39 and Cisco’s solutions on Rob’s blog.
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Why AI Networks Fail (Even With Enough Bandwidth)
Hackers Think in Graphs. Your Security Team Should Too
Jack Poller emphasizes the importance of adopting a graph-based approach in cybersecurity, mirroring the method hackers often use to understand complex network relationships and vulnerabilities. He argues that by using graphs, security teams can enhance their ability to predict, analyze, and mitigate risks effectively. For more coverage from our recent Tech Field Day event with Microsoft Security, visit Jack Poller’s website.
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