Special Breaking Analysis | Renen Hallak’s VAST Forward Keynote: A Vision of the AI Operating System
Renen Hallak opened VAST Forward – the company’s first global customer event – with a simple Hebrew phrase: “Know where you came from and where you are going.” While nostalgic, it was a deliberate attempt by Renen to communicate VAST’s next act – its “AI Operating System” ambition – in a decade-long sequence of architectural […]
Deterministic Modernization Becomes the Missing Layer in the AI Coding Era
Why deterministic, cross-repo modernization is critical as AI coding accelerates enterprise software complexity.
Special Breaking Analysis | VAST Forward and an OS for the “Thinking Machine”
In 1986, this author met Danny Hillis, a recent graduate from MIT who was building one of the world’s fastest computers. He was wearing a bright green T-shirt with all these cubes, connected in a network. When asked about the design of the shirt, Hillis said it was meant to represent a massively parallel architecture […]
Building the Retail Network as a Platform for AI, Security, and Outcomes
In a recent NetworkANGLE discussion, Lawrence Huang, SVP/GM of Network Platform and Wireless at Cisco, outlined how retail networking has evolved from basic connectivity to a platform-centric architecture designed to enable AI-driven use cases, operational resilience, and measurable business outcomes. Check out the full discussion below. The central theme is clear: the network is no […]
Beyond the Black Box: Building Transparent, Trustworthy Multi-Agent AI
Explore how to build trustworthy multi-agent AI systems. AI’s next frontier will not be defined by bigger models, but by trust. As enterprises push agentic AI into higher-stakes workflows, the question is no longer what AI can generate—it is whether its decisions can be justified and defended. With only 49% of enterprises reporting high trust in AI outcomes and just 29% having formal trust frameworks in place, the gap is clear. In this episode, Scott Hebner and Openstream.ai’s Magnus Revang explore why transparent, auditable multiagent systems—not black-box models—are the foundation for enterprise-grade AI.
Agentic AI Governance Becomes the Enterprise Differentiator
Why agentic AI governance, data quality, and API-first architecture determine enterprise success beyond experimentation.
Reskilling the Network Workforce for an AI-Driven Era: Part Two
Aligning Business Leadership, Governance, and Workforce Transformation In Part One of this series, we explored how AI and generational shifts in the workforce are redefining the technical skill requirements for network engineers. But the impact of AI extends well beyond technical domains. In this second installment, the conversation with Par Merat and Ryan Rose turns […]
Reskilling the Network Workforce for an AI-Driven Era: Part One
From Talent Pressure to Applied AI Skills Enterprise networking is entering a period of structural transition. Artificial intelligence is reshaping how networks are designed, operated, and secured at the very moment when a significant portion of the industry’s most experienced engineers is approaching retirement. This convergence creates a dual inflection point: a generational workforce shift […]
307 | Breaking Analysis | theCUBE Research 2026 Predictions: The year of enterprise ROI
Observers commonly refer to AI as still in the early innings. The reality is AI is much further along than most marketers acknowledge. In 2012, AlexNet was a watershed deep learning moment when massive and freely available Internet datasets met Nvidia GPUs. This is what truly kicked off the modern AI era, leading to further breakthroughs like generative adversarial networks. In 2017, Google researchers introduced the transformer architecture to the world followed by the scaling laws. Then of course, the mass adoption began with ChatGPT setting off the current AI arms race.
Fourteen years into the modern AI era, our research indicates AI is maturing rapidly. The data suggests we are entering the Enterprise Productivity phase; where we move beyond the novelty of RAG-based chatbots and agentic experimentation. Where 2026 will be remembered as the year that kicked off decades of enterprise AI value creation. We can’t promise that it won’t be messy. White collar job pressures, AI safety, new security and governance threats all loom. But the AI train isn’t stopping and enterprises that don’t get on board risk obsolescence.