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 […]
