The November 25 episode of Techstrong Gang focuses on massive DDoS attacks, the emergence os Tennessee as an AI datacenter hub, and Nokia’s rise as a provider of AI infrastructure leader with a $4 billion investment announced. Stephen Foskett discussed Nokia’s recent appearance at Networking Field Day 39, where the company made the case that it deserves a seat at the table in AI networking, as well as new management and investments. Learn more about Nokia’s AI infrastructure at AI Infrastructure Field Day 4 in January.
Graphiant Demos Network Service Connections
Steve Puluka recently offered an overview of Graphiant and their innovative approach to managing network service connections. During this demonstration, Graphiant showed that their solutions can seamlessly integrate into existing network infrastructures to enhance connectivity and performance. For more video reactions from Networking Field Day 39, follow Steve Puluka on LinkedIn!
Exploring the Power and Potential of Enhanced AIOps with Nokia
Steve Puluka provides a quick analysis of Nokia’s advancements in AIOps, highlighting the enhanced capabilities and potential impacts on network management and optimization. His review discusses the integration of AI technologies with operational processes to improve efficiency and predictability in network operations. For more video highlights from Networking Field Day 39 by Steve Puluka, follow his updates on LinkedIn Pulse.
About Graphiant NaaS with Arsalan Khan
Arsalan Khan recently shared insights into Graphiant’s Network as a Service (NaaS) offerings, providing an overview of how this technology stands out in today’s crowded market. He emphasized the technical intricacies and business applications of Graphiant NaaS, illustrating its potential to revolutionize connectivity. This is part of Steve Puluka’s Networking Field Day 39 video highlight series on LinkedIn.
Nokia Event-Driven Automation (EDA) Multi Vendor – Deliver on the Promise
Steve Puluka provides a quick analysis of the Nokia Event-Driven Automation (EDA) Multi Vendor initiative, highlighting its potential to streamline and enhance telecom network operations through advanced, automated solutions. He examines how this technology promises to improve service reliability and operational efficiency by enabling more responsive and adaptive network management across multiple vendors. For more reactions to Networking Field Day 39, follow Steve Puluka’s ongoing coverage on LinkedIn Pulse.
Graphiant Use Cases with Arsalan Khan
In this informative video link, Steve Puluka provides an discussion on a variety of Graphiant use cases presented by Arsalan Khan. He explores practical applications and the operational benefits that Graphiant technology offers, enhancing understanding of its impact in real-world settings. Watch for more video reactions from Steve Puluka following Networking Field Day 39 on LinkedIn!
NFD39: Graphiant’s Excellent AI Support
In a recent article by Peter J. Welcher, Graphiant’s AI support capabilities were discussed, highlighting its impactful role in enhancing network function. The discussion centered around technical advancements and the practical application of AI in improving operational efficiencies. For more insights from Networking Field Day 39, follow Peter Welcher on LinkedIn!
Graphiant: Rethinking Wide-Area Networking with a Stateless, Service-Based Model
Graphiant is revolutionizing the wide-area networking landscape by introducing a stateless, service-based networking model that promises to simplify operations and enhance flexibility for enterprises. Their innovative approach addresses traditional WAN complexities by decoupling networking hardware from service management, allowing businesses to respond more dynamically to changing network demands. Find more coverage of Networking Field Day 39 on Dustin Demers’ blog.
Nokia’s Event-Driven Automation: Simplifying AI Backend Networks
Nokia has recently introduced its Event-Driven Automation system, designed to streamline AI backend networks by automatically managing network events in a more efficient manner. This innovation offers enterprise IT professionals a robust solution for reducing the complexity and operational costs associated with managing expansive and data-intensive network environments. For additional insights from Networking Field Day 39, watch Dustin Demers’ blog.
The Resource Costs of AI
Steve Puluka examines the significant resources required to train artificial intelligence models, highlighting the high demands in terms of energy, computing power, and data. He discusses the broader implications of these demands on infrastructure and the global environment, urging a balanced approach to AI development. For additional commentary following Networking Field Day 39, follow Steve Puluka’s coverage on LinkedIn Pulse.
NFD39: Cisco Handles AI Datacenter Flows
Peter J. Welcher provides a comprehensive analysis of how Cisco is adapting its strategies to manage AI-driven data flows within datacenters, showcasing the evolution of network technologies to meet advanced computing demands. His insights highlight the specific updates and features that Cisco has implemented to optimize performance and efficiency in handling intricate data workflows. Discover additional insights from Networking Field Day 39 on LinkedIn Pulse.
NFD39 Was Great! An Overview
Peter J. Welcher recently shared his excitement about the successful Network Field Day 39 event on LinkedIn. He provides an insightful overview, reflecting on key sessions and technological discussions that highlighted the event. For additional insights on Network Field Day 39, follow Peter J. Welcher on LinkedIn Pulse.
NetAIOps Has Its Challenges
The industry has embraced AI for every possible problem. Operations will eventually embrace it as well but questions remain about how it will be implemented. In this episode, Tom Hollingsworth sits down with Pete Welcher, Rita Younger, and Jonathan Davis to discuss the issues that remain with implementing AI into an operations workflow. They discuss licensing and procurement, the need for institutional knowledge, and how this will all work in a multivendor world. They wrap up with some guidance about how to approach your next big AIOps project.
Exploring How AI Transforms the Enterprise Network at Networking Field Day 39
AI is all the rage right now, but how does that translate into your network? We’re excited to bring you the latest edition of our flagship enterprise networking event, Networking Field Day. This November 5th and 6th in Silicon Valley, we’ll explore how AI impacts the transport for your enterprise—from building networks to power GPU-driven […]
