The Graphiant demo will focus on the enhancements in the site dashboard, the new automated alerting engine, and troubleshooting observability.
With the increase in the number and sophistication of adversaries targeting organizations today, coupled with the growing volume of alerts and shortage of staff that most enterprises face, cyber-defenders are at a marked disadvantage. Learn how the Palo Alto Networks platform leverages advanced AI and ML technology to change this dynamic and give organizations a strategic advantage to proactively address cyber risk across the enterprise – from the user, the branch, the data center, and the cloud
Dell Sonic networking in today’s hyperscale environments. Enterprise SONiC Distribution by Dell Technologies is the first commercial version to provide enterprise-ready features, a dedicated roadmap and global support for large-scale environments. Enterprise SONiC builds on Dell Technologies long history of collaborating with and contributing to the open source SONiC community with new features and capabilities ranging across the protocol stack and management applications, including a centralized management platform and a growing ecosystem of partner automation and orchestration applications.
It’s clear that over the next few years, Managed Network Services will give way to Network as a Service…but what does NaaS really look like? In this short 10-min presentation, Bob Wysocki of Microland will provide pragmatic guidance on how enterprises should be thinking about adopting a NaaS service offering from the perspective of: * Technique: What are the foundational requirements an enterprise should have of NaaS? * Technology: What aspects of technology are truly differentiating that enable the benefits of NaaS? * Tools: What…
In an era where digital transformation is paramount, enterprises are rapidly adopting hybrid multi-cloud networks to support their expanding business needs. This integration, however, brings forth significant challenges in maintaining security, connectivity, and cost-effectiveness across diverse trust domains. The “Navigating the Future” panel at the ONUG AI Networking Summit 2024 aims to address these challenges head-on. Through a deep dive into AI-powered solutions, this session will explore innovative strategies to streamline connectivity, enhance security, and optimize costs in hybrid multi-cloud environments. Join us to uncover…
In an era where AI integration into enterprise operations is paramount, the networking infrastructure plays a critical role. This panel explores how advancements in networking technologies like Ethernet and RDMA over Ethernet can democratize AI by making powerful AI tools more accessible and efficient across industries. The discussion will delve into the transformative potential of AI in networking, the role of open standards and the democratization of AI through scalable, high-performance networking solutions. Agenda: Introduction The Role of Networking in AI Democratization -Discussion on how…
This ONUG panel discussion is designed for executives and professionals involved in the development of in-house AI capabilities within large corporations. The focus will be on the examination of the essential components required to establish a reliable, scalable, and efficient AI infrastructure. Participants will receive insights into necessary hardware and software requirements, effective data management strategies, security considerations, regulatory compliance, ethical considerations, and cost management. This session aims to provide a structured framework for corporate leaders looking to build advanced AI infrastructure in a secure…
The world is changing. Modern times call for a modern solution. Previously static networks, MPLS specifically, were great delivering interoffice connectivity and on-premises data centers, but they are costly. Plus, their time to deliver and upgrade is excruciatingly slow. SDWAN takes networking to a flexible level, but they are expensive (with hardware and subscriptions), complex, and burdensome to manage. Additionally, if you use a third party to manage your SDWAN, your costs can become untenable. SDWAN also pigeonholes you with the vendor’s hardware and legacy…
AI intersects with edge computing at the enterprise edge for a subset of applications & use-cases, and for other use-cases it builds a data-lake for AI computations to be performed in the cloud. Correlated decision making with robotic process automation (RPA) has transformed to an AI-ML based analytics that allow anomaly detection, predictive and preventative network and security handling of events, and result in better business outcomes. Video analytics, and AR/VR use-cases require more local processing, whilst Production and QA type of infrastructures a mix…
An AI / ML infrastructure strategy must consider multiple factors, including types of workloads, volume and type of data that will be transferred, performance requirements, network scalability, and of course, budget available. In this session AMD Networking GM Soni Jiandani will discuss how you can build a future-proof infrastructure that will help improve the overall performance of AI / ML networks by providing high throughput, low latency, high connection scalability and reduced CPU overhead while supporting programmable congestion control, dynamic load balancing, inline security, dynamic…
