WebexOne 2025: Connected Intelligence, Open Ecosystems, and AI at Work

I spent a couple of sun-filled days in San Diego attending Cisco’s WebexOne 2025, where the company unveiled a significant number of innovations that position Webex as a connected-intelligence platform. A platform that unifies devices, applications, data, humans, and AI agents across edge, cloud, and control planes. With 23,000 virtual and in-person attendees at the […]
293 | Breaking Analysis | Service-as-Software: The New Control Plane for Business

We’re on the cusp of a new software- enabled business model that will determine winners and losers in the coming decades. We call this service -as-software. Specifically, we believe enterprises will begin to organize knowledge work in new ways, that harmonize islands of automation into a build-to-order assembly line for knowledge work. Firms that aggressively pursue this opportunity will be on a learning curve that we think will create sustainable competitive advantage, and, importantly, a winner-take-most dynamic. Now, we’re not just talking about technology vendors here. Rather, we believe new technology, operational, and business models will emerge, and apply to all enterprises across every industry. In this breaking analysis, theCUBE Research team presents a new way to think about how businesses will operate in the AI era; with implications for application developers, edge deployments, and security / governance models. With a glimpse toward the path that we think organizations can take to go from where they are today into the future.
Agentic AI ROI: From Automation to Decisions

n this episode of Next Frontiers of AI, host Scott Hebner is joined by Paul Chada, CEO of Doozer AI, to explore one of the most urgent questions in enterprise AI: What is the real state of agentic AI ROI, and where is it headed? As companies shift from foundational Generative AI to the ”golden age of AI Agents” and the super cycle of innovation it promises, the stakes are rising. Digital coworkers are no longer just creating content or automating repetitive tasks, but are actively involved in workflows, knowledge work, and decision-making processes. In this discussion, we share real-world lessons from AI agent deployments and present new findings from the Agentic AI Futures Index survey to illustrate how adoption is progressing, where plans are accelerating, and what the journey toward decision intelligence entails.
Accelerate Globally Distributed AI Environments: Equinix connects 90% of the global population within 10 milliseconds.

As guests of Equinix’s inaugural AI summit, analysts Bob Laliberte and Savannah Peterson had front row seats to a slew of Equinix updates. Their diverse lineup of leaders made a strong case that it is innovating to enable distributed AI workloads on a global scale. Across strategy announcements, regional updates, and product innovation announcements, the […]
Securing AppDev in the Age of AI and Open Source Risk

As open source and AI-generated code explode, application security must evolve. This piece explores insights from Chainguard CEO Dan Lorenc on reproducibility, developer guardrails, and the future of supply chain integrity amid rising regulatory pressure.
Special Breaking Analysis: Cybersecurity’s Enduring Asymmetry in the Age of AI

For the past several decades, Cybersecurity has been an unfair fight. The economics have favored attackers, which have access to sophisticated resources, lower costs, fast innovation cycles and deep knowledge of vulnerabilities. Defenders, by contrast, bear the full burden of securing sprawling networks, fragmented technologies, and human error, all while operating under legal, regulatory, and financial scrutiny.
Networking for AI Summit Keynote

The Networking for AI Summit kicked off with a great market insights discussion with Zeus Kerravala of ZK Research. We discussed how AI is impacting networking environments, including the back-end, front-end, and WAN. Their central thesis: the network is not ancillary to AI, it is the foundation that determines whether training, inference, and emerging agentic […]
Developers Need to Rethink Cloud Cost Management

Mike Julian (Duckbill) argues that cloud cost management must shift from micro-optimizations to architectural planning. Learn how AppDev teams can “Shift Left” FinOps to reduce structural cloud waste.
Simplifying and Scaling Networking for the AI Era: Extreme Networks

Artificial intelligence (AI) adoption is accelerating rapidly across industries, moving from experimental pilots to enterprise-wide initiatives that span the edge, data center, and wide-area networks. With this shift, the role of the network is evolving from a supporting utility to a strategic enabler of AI-driven transformation. At the recent Networking for AI Summit, I spoke […]