Formerly known as Wikibon

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

Connected Intelligence

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. 

Securing AppDev in the Age of AI and Open Source Risk

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

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

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

Extreme Networks at the Networking for AI Summit

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 […]

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