Raphaëlle d'Ornano of Decoding Discontinuity, founder and chief executive officer, discusses Dreamforce announcements and the rise of the agentic enterprise with Gemma Allen of theCUBE Research at the NYSE studio. The conversation examines Salesforce’s Koa model, the emerging enterprise AI harness, agentic applications and consumer agents such as Muse and Instinct, together with the evolving neocloud compute landscape. The episode highlights how artificial intelligence AI reshapes enterprise workflows and operational design.d'Ornano describes how sector-specific reasoning models and open-weight post-training drive industry diffusion, and they emphasize that trusted infrastructure security and grounding remain essential. They identify compute and energy constraints as defining neocloud competitive factors and recommend that enterprises revisit security stacks prioritize proximity-to-intent context and workflow and prepare trusted harnesses for agent deployments. The discussion includes practical considerations for implementing enterprise AI agents and strategies for maintaining trust and performance.Listen to AGNT Podcast Episode 15 for in-depth analysis and actionable guidance on enterprise AI agents Dreamforce announcements and neocloud compute. Subscribe for more episodes on artificial intelligence AI enterprise strategy and agentic enterprise innovation.

AGNT Podcast Episode 14, recorded at the New York Stock Exchange and theCUBE Studios, examines artificial intelligence agents, compute economics and enterprise architecture. The episode explores agentic systems, model advances and enterprise adoption dynamics.Raphaëlle d'Ornano of Decoding Discontinuity joins hosts Gemma Allen of theCUBE Research and John Furrier of SiliconANGLE Media, Inc. d'Ornano provides expertise in orchestration economics and agentic workflows, and they discuss GPT-6, Anthropic's IPO and total addressable market claims, hybrid open-weights and the shift from deterministic automation to agents that act on intent.The discussion covers use cases across legal, retail and enterprise software.Key takeaways: d'Ornano contends GPT-6 represents a shift toward models that can act, raising questions about enterprise-grade execution and governance. theCUBE Research highlights compute and access to megawatts as bounding variables for scale, while hybrid cloud, middleware and agentic engineering emerge as pragmatic routes for incumbents and AI-native vendors to capture value.

This episode of the AGNT Podcast, recorded at the New York Stock Exchange, explores the agentic era in enterprise and how abundant intelligence reshapes systems of record and software economics. Gemma Allen of theCUBE and NYSE Wired hosts with theCUBE Research. Raphaëlle d'Ornano of Decoding Discontinuity, founder and chief executive officer, appears as guest to examine the implications of artificial intelligence, AI, for product architecture, licensing models and competitive advantage.d'Ornano brings deep experience in AI strategy and software architecture and explains how this trend, from open-source models to Claude and Copilot, changes user interfaces, creates new execution loops and shifts advantage to companies that capture user intent through systems of record and agentic front ends. d'Ornano argues that firms that rewire their product architectures to own intent and decouple consumption from seat-based licensing gain defensible moats; they caution that many vendors remain exposed to the ongoing SaaSpocalypse. Analysts at theCUBE Research highlight implications from Anthropic's IPO, neocloud dynamics and increased merger and acquisition activity as platforms and AI-native verticals race to integrate agentic capabilities.

In AGNT Podcast episode 12 recorded at the New York Stock Exchange, Raphaëlle d'Ornano of Decoding Discontinuity appears as guest alongside host Gemma Allen. d'Ornano is founder and chief executive officer of Decoding Discontinuity and an investor and analyst focused on artificial intelligence driven enterprise transformation, semiconductors and infrastructure. They discuss CoreWeave, Cursor and Anysphere; coding wedges and agentic cloud architectures; memory and tokenomics; and implications for enterprise adoption and vendor positioning.d'Ornano argues that CoreWeave's Anysphere represents multiple businesses and that the enterprise application total addressable market cited in filings lacks clear detail while many analysts continue to underwrite value as an infrastructure play. They suggest Cursor could serve as a coding wedge into enterprise, that cost per task will outgrow token debates and that ownership of agentic memory together with semiconductors and memory will shape future competitive moats. theCUBE Research supports the discussion.