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.
Companies’ AI Readiness Is Lagging Behind Their Optimism: Futurum Research
Dion Hinchcliffe of Futurum Research highlights a significant gap between the optimism of companies regarding AI integration and their actual readiness to implement these technologies. The analysis suggests that while many enterprises are enthusiastic about the potential benefits of AI, they often lack the necessary infrastructure and strategic planning to effectively adopt AI solutions. Sulagna Saha provides further coverage of AI Field Day 6 on Techstrong AI, offering insights into the evolving landscape of artificial intelligence in business.
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Companies’ AI Readiness Is Lagging Behind Their Optimism: Futurum Research
Cisco Drops LoRaWAN Support
Troy Martin discusses the surprising move by Cisco to discontinue support for LoRaWAN, a decision that impacts many in the IoT space. He explores what this means for the future of IoT connectivity and alternative technologies that may fill the void left by Cisco’s exit. For further discussion on the implications of this change and emerging trends in the field, visit the coverage of Mobility Field Day 12 provided by LoRaWAN Trends and Wi-Fi Vitae.
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Cisco Introduces Customizable Two-to-Eight GPU Server System for AI Inferencing
Cisco has recently unveiled a flexible server system that accommodates between two and eight GPUs, designed specifically to enhance AI inferencing capabilities. This customizable configuration allows for scalable solutions that meet diverse enterprise needs in processing AI tasks efficiently. For additional insights and detailed analysis, read more articles by Sulagna Saha at Techstrong AI.
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Cisco Introduces Customizable Two-to-Eight GPU Server System for AI Inferencing
HYCU + Dell + Excitement at Tech Field Day CFD22
Eric Wright discusses the collaboration between HYCU and Dell Technologies, highlighting their innovative data protection solutions at Cloud Field Day 22. This partnership demonstrates a significant step forward in streamlining data management and security for cloud environments, providing advanced tools and methodologies. Additional insights and coverage on Cloud Field Day 22 by Eric Wright can be found on the DiscoPosse site.
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HYCU + Dell + Excitement at Tech Field Day CFD22
Why Is AI Inferencing the Next Battleground for Enterprise Tech?
Following Kamiwaza’s presentation at AI Field Day, Jack Poller explored the significance of AI inferencing in enhancing enterprise technology, identifying it as a crucial competitive frontier. His analysis covers the accelerative technologies and innovative strategies that are transforming AI’s application in the business landscape. For further insights on AI Field Day 6, follow Jack Poller’s posts on LinkedIn Pulse.
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Why Is AI Inferencing the Next Battleground for Enterprise Tech?
Fortinet: From Networking To Cloud Security
In his insightful analysis at Cloud Field Day 22, Michael Levan explores Fortinet’s strategic pivot from traditional networking solutions to a focus on cloud security technologies. He highlights how Fortinet is enhancing its offerings to address the evolving cybersecurity challenges in cloud environments. For additional coverage of Cloud Field Day 22, follow Michael Levan on social media.
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Fortinet: From Networking To Cloud Security
Unlocking GPU Potential: How MemVerge Solves Enterprise AI Infrastructure Challenges
Jack Poller recently covered how MemVerge addresses significant hurdles in enterprise AI infrastructure by optimizing GPU performance, crucial for handling extensive workloads and AI applications. He highlights MemVerge’s innovative approach in enabling more efficient memory management, which in turn, enhances computing processes and speeds up AI project delivery times. For additional insights on AI Field Day 6, follow Jack Poller’s updates on LinkedIn Pulse.
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Unlocking GPU Potential: How MemVerge Solves Enterprise AI Infrastructure Challenges
Data Protection For Hybrid Cloud
Michael Levan recently shared insights following HYCU’s presentation at Cloud Field Day 22, focusing on effective strategies for data protection in hybrid cloud environments. He emphasized the importance of implementing robust security measures and leveraging advanced tools to ensure data integrity and availability across diverse infrastructures. For additional details on this topic, check out the coverage of Cloud Field Day 22 by Michael Levan.
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Data Protection For Hybrid Cloud
AI Field Day 6: Kamiwaza and Superhuman Power for Enterprise AI
AI Field Day 6 highlighted the transformative potential of Kamiwaza in empowering enterprise AI solutions with superhuman capabilities. This concept illustrates how advancements in AI could significantly enhance decision-making processes and operational efficiencies. For more analysis of AI Field Day 6, check out Jay Cuthrell’s coverage.
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AI Field Day 6: Kamiwaza and Superhuman Power for Enterprise AI
Fortinet at CFD22: Solving a complex set of security challenges
Eric Wright discusses Fortinet’s presentation at Cloud Field Day 22, emphasizing their innovative approach to tackling complex security issues in cloud environments. The session highlighted how Fortinet’s solutions are designed to enhance security without compromising network performance. For additional insights on Cloud Field Day 22, visit DiscoPosse.
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Fortinet at CFD22: Solving a complex set of security challenges
3 Ways OBSERVABILITY is Evolving: How Selector AI is Changing the Game
In this LinkedIn Pulse article, Shala Denise explores three significant ways in which observability is advancing, particularly focusing on the transformative impact of Selector AI technology. She highlights how Selector AI refines data interpretation, enhances operational efficiency, and fosters proactive problem-solving strategies within IT systems. For more from Cloud Field Day 22, follow Shala’s coverage on GiftedLane.
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3 Ways OBSERVABILITY is Evolving: How Selector AI is Changing the Game
Selector AI – Observability + AIOps at Cloud Field Day 22
Eric Wright provides an insightful overview of Selector AI’s innovative approach, combining observability with AIOps, following their presentation at Cloud Field Day 22. The article highlights how Selector AI is enhancing IT operations through advanced data analytics and machine learning techniques. For additional coverage of Cloud Field Day 22, follow Eric’s posts!
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Selector AI – Observability + AIOps at Cloud Field Day 22
Monitoring and Observability on the Fine Line of the WAN
Michael Levan recently shared insights on the intricate balance of monitoring and observability across Wide Area Networks (WAN) following the Catchpoint presentation at Cloud Field Day 22. He highlighted the challenges and strategies for maintaining visibility and control in increasingly complex network environments. For additional insights and coverage from Cloud Field Day 22, watch for more content by Michael Levan.
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Monitoring and Observability on the Fine Line of the WAN
3 Key Challenges in Cloud Networking: Visibility, Control, and the Future of NaaS
In this post by Shala Denise, three primary challenges facing cloud networking are highlighted: visibility, control, and the evolving landscape of Network as a Service (NaaS). Denise explores how these issues impact enterprise IT, noting that understanding and managing them is crucial for optimizing cloud network operations and ensuring robust security. This post was inspired by the Infoblox presentation at Cloud Field Day 22.
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3 Key Challenges in Cloud Networking: Visibility, Control, and the Future of NaaS
Solving AI’s Data Gravity Takes an Alternative Approach to Shuttling Data between Locations: Kamiwaza
Sulagna Saha provides an in-depth analysis of Kamiwaza, a novel methodology designed to tackle the challenge of data gravity in AI by streamlining the movement of data across different locations. This approach is especially relevant for enterprises looking to enhance their AI capabilities without the heavy constraints typically associated with data transfer. For additional insights and coverage on AI Field Day 6, explore articles by Sulagna Saha at Techstrong AI.
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AI Field Day 6: MemVerge on Supercharging AI Infrastructure
At AI Field Day 6, MemVerge presented their innovative solutions aimed at enhancing AI infrastructure efficiency. They highlighted how their technology integrates seamlessly to improve performance and scalability for demanding AI workloads. In this article, Jay Cuthrell considers the MemVerge solution following their AI Field Day 6 presentation.
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AI Field Day 6: MemVerge on Supercharging AI Infrastructure
MLPerf Storage v1.0 Benchmark Results Reveal Performance Scores of Systems for AI Training
Sulagna Saha provides an insightful analysis of the MLCommons MLPerf Storage v1.0 benchmark results, shedding light on the performance capabilities of various storage systems in AI training scenarios. Her summary evaluates the differing aspects of system performance which are pivotal for optimizing machine learning workflows. For additional insights on AI Field Day 6, you can read more articles by Sulagna Saha at Techstrong AI.
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MLPerf Storage v1.0 Benchmark Results Reveal Performance Scores of Systems for AI Training
AI Field Day 6: Broadcom on VMware’s Impact in Private AI
At AI Field Day 6, Broadcom highlighted the pivotal role of VMware in enhancing private AI infrastructure, illustrating how integration facilitates advanced AI capabilities securely within private networks. Their presentation provided a comprehensive overview of innovative strategies that leverage VMware environments to optimize AI workloads effectively. For more insights and AI Field Day 6 coverage, keep an eye on Jay Cuthrell’s website.
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AI Field Day 6: Broadcom on VMware’s Impact in Private AI
Measuring Success in the AI Revolution: The Critical Role of MLCommons
Jack Poller’s insightful analysis on LinkedIn focuses on the pivotal role of MLCommons in benchmarking tools and datasets during the surge of AI technologies. In his article, Poller explores how MLCommons is setting the standards for machine learning performance, thereby shaping the future of AI development and implementation across various industries. For further insights on AI Field Day 6 from Jack Poller, explore his coverage on LinkedIn Pulse.
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Measuring Success in the AI Revolution: The Critical Role of MLCommons
Infoblox – Solving the DDI problem
Eric Wright provides a detailed overview of how Infoblox addresses the unique challenges of DDI (DNS, DHCP, and IP address management), enhancing network reliability and security. His analysis highlights the pivotal role Infoblox plays in simplifying complex enterprise network environments through comprehensive management solutions. For additional insights and coverage on Cloud Field Day 22, visit Eric’s website.
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