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Enterprise Cloud 2.0 Technology Solutions, Strategy and Use Cases

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Afraid of AI in Networking? Turn Those Fears Into an Adoption Plan

Network operations is entering a new phase: not just “AI for alerts,” but AI that can explain, recommend, and execute workflows across your existing tooling. The reason many teams are still hesitant is equally simple: the network is the business. When AI touches telemetry, configs, tickets, and change workflows, the fears are legitimate — and ignoring them is the fastest way to stall adoption. Fear #1: “If I feed AI my network data, I’ll leak something sensitive.” The challenge isn’t just employees pasting sensitive content…

The Great Re-Platforming: Why Enterprise AI is Moving Private

We are at an inflection point. Enterprises are trapped between two uncomfortable realities: public AI services are convenient but risky, while private infrastructure is expensive and complex. But that equation is changing. This tension is already reshaping enterprise IT strategy—and over the next few years, it will trigger a fundamental restructuring of how organizations deploy artificial intelligence. The Public AI Problem: Control is the New Currency Today’s enterprises are forced into a precarious position with cloud-based AI services like Gemini, Claude, xAI, and OpenAI. These…

State of Enterprise SONiC® Adoption: The Open Networking Shift Accelerates in the AI Era

Enterprise networking is in the middle of a major transition. For decades, most data center networks were built as vertically integrated stacks, where hardware and network software were tightly coupled to a single vendor ecosystem. That model is increasingly misaligned with today’s reality: hybrid infrastructure, faster scaling cycles, and the need to automate operations end-to-end. This is why disaggregation has become a strategic direction for enterprise infrastructure teams. By decoupling the network operating system (NOS) from the underlying switching hardware, organizations gain flexibility in procurement,…

SONiC & Open Source in the Enterprise: 5 Myths Busted

Somewhere in every networking team, someone has already said: “We should really look at SONiC.” …and someone else has replied: “We’re not a hyperscaler. This is not for us.” If that sounds familiar, this post is for you. I’ll walk through five common myths about SONiC and open-source networking — and how to approach them without betting the business. Myth 1: “Open-source NOS is only for hyperscalers.” The belief SONiC is a Microsoft thing. Hyperscalers can afford to experiment; enterprises can’t. Reality SONiC has quietly become the…

Why SONiC is Ready Not Just for Hyperscalers

When you think of SONiC (Software for Open Networking in the Cloud), it’s often associated with hyperscalers—the giants in tech like Google and Microsoft that demand unparalleled scalability and customization in their network infrastructure. But what if I told you that SONiC is no longer just for hyperscalers? What if I told you that enterprises—yes, Fortune 500 companies, mid-sized businesses, even finance and telecom industries—are now tapping into the power of SONiC to transform their networks? Flexibility Through Choices One of SONiC’s strongest suits is…

Revolutionizing WAN Connectivity: The AI-Enabled API Workgroup

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…

Beating the 4%: A Pragmatic Approach to AI Success

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…

The Data Tsunami: Why Real AI Traffic Demands a Network Re-Architecture

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…

Enterprise AI at Scale: Governance, Innovation, and Human Impact

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…

Networking in 2030: The Agentic AI Vision for the Enterprise

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…