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Enterprise Cloud 2.0 Technology Solutions, Strategy and Use Cases
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This is a summary of the AI Networking Summit – New York session moderated by Tony Farinacci, ONUG CTO and Managing Director, CTO, CISO, Distinguished Architect JPMorgan Chase (retired). This session introduces ONUG’s AI-Enabled WAN Connectivity API initiative: a collaborative, enterprise-driven effort to build an open API framework for automating WAN services procurement. The landscape of Wide Area Network (WAN) connectivity procurement has long been characterized by inefficiency, manual processes, and significant friction. For decades, businesses have grappled with archaic methods, often involving lengthy sales…
This blog is a summary of a session, moderated by Andy Brown, CEO of Sand Hill East, and delivered at the recent AI Networking Summit in NYC. To view the entire presentation, visit here. The world of Artificial Intelligence is abuzz with transformative potential, yet a stark reality, highlighted by an MIT paper claiming a 96% failure rate in AI projects, looms large. This panel discussion, “Beating the 4%,” featuring industry veterans James Walker (Chief Admin Officer, DXC), Phil (Head of AI Innovations, Zscaler), Sean…
This blog is a summary of the session, moderated by WWT’s Chief Technical Advisor Brian Glibert at the recent AI Networking Summit in NYC. To view the complete presentation you may visit here. The rise of Artificial Intelligence, particularly Large Language Models (LLMs) and autonomous agents, is generating a “data tsunami” that threatens to overwhelm existing enterprise networks. As companies shift AI workloads from the cloud back to on-premises data centers for cost and control, they are confronting a massive technical debt. This recent panel…
This blog summarizes the AI Networking Summit in NY’s Fireside Chat with Berta Rodriguez Hervas of Pfizer and ONUG’s Nick Lippis. For a full recording of the session, visit here The integration of Artificial Intelligence (AI) into healthcare is rapidly transforming drug discovery and patient outcomes. Bertha Rodriguez, Chief AI and Analytics Officer at Pfizer, shared valuable insights into the company’s decade-long journey with AI, highlighting both the immense potential and the practical challenges of scaling AI adoption within a large enterprise. The Promise of…
This blog summarizes a session at The AI Networking Summit presented by ONUG, Nvidia and Cisco. For the full recording of this session, visit here The future of networking, accelerated by the rise of AI, is rapidly approaching the enterprise. While today’s headlines focus on the massive, power-hungry AI clusters of hyperscalers, those literally buying nuclear power plants for energy, the true transformation for most large organizations will be a shift to owning and operating their own AI infrastructure on-premises. This shift, projected by firms…
This blog summarizes Phil Tee’s presentation at The AI Networking Summit. For the full recording of this session, visit here The rise of Agentic AI, AI-enabled agents building enterprise applications has sparked a technological “gold rush” and fundamentally shifted the security paradigm. As AI moves beyond simple GenAI models to complex, autonomous agents, the traditional security measures are proving inadequate, forcing a necessary re-evaluation of how we protect our digital environments. The Agentic Difference: More Than Just GenAI What differentiates an AI agent from a…
For 14 years, our community has been at the forefront of industry shifts. We pioneered the SD-WAN marketplace, now a multi-billion dollar industry. We championed multi-cloud and hybrid-cloud strategies when single-cloud was the prevailing thought. Our journey continued through orchestrating and automating virtual and leased infrastructure, and tightly integrating networking and security. Today, ONUG stands on the precipice of our fifth wave: AI networking, evolving into the enterprise AI community. Our focus for 2026 and 2027 is clear: building an AI-native enterprise network fabric. The…
How the Fall Summit Set the Stage for Building the AI-Native Enterprise Network Fabric in 2026 At the Fall 2025 AI Networking Summit in New York, one theme dominated every conversation: enterprises are experimenting with AI, but they’re not yet ready to operationalize it. Business units are running pilots, copilots, and proofs-of-concept, but IT and infrastructure teams are still figuring out how to scale, secure, and support them. That disconnect — between AI enthusiasm and AI readiness — is now the industry’s biggest challenge. And…
Modern networks are living ecosystems — vast, interconnected, and evolving by the second. From cloud to edge, across vendors and domains, they generate more data than traditional tools or teams can absorb. Managing this complexity requires more than automation scripts and dashboards. It demands intelligent systems that deliver answers and actions, not just alerts. That’s the idea behind IBM Network Intelligence, a new network-native AI platform designed to help organizations shift from reactive problem-solving to proactive performance assurance. Developed in collaboration with IBM Research, it…
It’s common to think of IT as its own silo, but the truth is that it’s become existential across the entire enterprise. And yet, when a flood of alerts hits the NOC, the response is often anything but resilient. It’s usually quite hectic as engineers scramble to correlate signals and manually trigger fixes. It’s a familiar story with a familiar question: why haven’t we solved this already? Many enterprises have invested heavily in automation, and while visibility sometimes improves, the ability to autonomously act on…
