Microsoft Build 2026 announced an end-to-end agentic AI stack. COMPUTEX Taipei confirmed heterogeneous AI infrastructure across ARM, Marvell, Intel, Qualcomm, and NVIDIA. Alphabet raised $80 billion. Cisco Live repositioned the network as the AI platform. Patrick Moorhead and Daniel Newman break it all down alongside earnings from Broadcom, HPE, Palo Alto Networks, and CrowdStrike, plus the token cost conversation, the edge AI push, and what Palantir and Oracle are saying about proprietary data as the real AI moat.

MiTAC Computing is addressing the core constraints of enterprise AI scaling: floor space, power capacity, and cooling efficiency. Matt Kimball catches up with Raymond Huang at Computex 2026 to walk through a full portfolio spanning high-density liquid-cooled racks, diamond-cooled air servers, unified POD management, and containerized modular AI factories that cut deployment timelines from years to weeks.

Corsair is extending its high-performance computing expertise into AI workstations and server infrastructure, targeting enterprises that need local AI compute for security, data sovereignty, and cost efficiency. Anshel Sag catches up with Matthew Hsu, SVP & GM at Corsair, at COMPUTEX Taipei 2026 to examine how the company is addressing the full AI lifecycle from inference to model training and deployment.

The challenge for enterprise AI is no longer proving its potential. It is operationalizing AI securely, efficiently, and at scale. In this Six Five On The Road conversation at Dell Technologies World 2026, Varun Chhabra, SVP ISG Marketing at Dell Technologies, and Jason Schroedl, Director of Product Marketing for Enterprise Platforms at NVIDIA, join Patrick Moorhead and Daniel Newman to examine the Dell AI Factory evolution, what agentic AI deployment demands from governance and infrastructure, how data readiness determines production AI performance, and what enterprise leaders must prioritize to move from pilots into meaningful business outcomes.

As enterprises scale AI into production, the variable that determines whether AI delivers measurable ROI is increasingly the data layer. In this Six Five On The Road conversation at Dell Technologies World 2026, Ihab Tarazi, ISG CTO at Dell Technologies, and Jason Hardy, VP of Storage Technology at NVIDIA, join Patrick Moorhead and Daniel Newman to examine how the token economy is reshaping enterprise AI infrastructure strategy, what the Dell AI Data Platform and Exascale Storage announcements change about production AI architecture, and why co-engineering between Dell and NVIDIA produces outcomes that standard integration partnerships cannot match.

Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap.

AI is restructuring how enterprise buyers discover, evaluate, and engage with technology providers, compressing timelines and shifting the discovery layer before any human conversation begins. Gerri Tunnell, CMO at Dell Technologies, joins Six Five at Dell Technologies World 2026 to examine how organizations must rethink speed, discoverability, and trust as AI becomes embedded in both the buying process and the customer experience itself.

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Industrial AI is crossing the line from deterministic automation into systems that can see, think, act, and learn. Honeywell CTO Suresh Venkatarayalu, who studied neural networks 31 years ago when he joined the company, calls it a physical AI transformation, and at Dell Technologies World 2026, he joined Sam Grocott, SVP of Product Marketing and AI Product Management at Dell Technologies, to break down what Honeywell Forge chapter two looks like, why the Dell AI Factory with NVIDIA was the right infrastructure foundation for scaling AI across 50 to 60 million industrial and commercial assets, and what the shift from AI pilot to enterprise-scale deployment actually requires.

Layering AI onto legacy service architecture produces incremental improvements on a model that was not designed for autonomous resolution at scale. In this Six Five On The Road conversation at Zendesk Relate 2026, Vishnu Parimi, VP of Product at Zendesk, joins Keith Kirkpatrick and Melody Brue to examine what AI-native service operations actually require: unified resolution systems, specialized agents built for domain-specific workflows, and governance embedded into the architecture from the start rather than retrofitted after deployment.

Accenture and ServiceNow launched the Forward Deployed Engineering program at Knowledge 2026 to address the delivery gap that keeps 88% of enterprise AI initiatives from reaching scale production. David Kanter, Senior Managing Director and Global Head of the ServiceNow Business Alliance at Accenture, and Miku Jha, GVP of Applied AI and Forward Deployed Engineering at ServiceNow, outline how embedding co-engineering teams inside customer environments from day one, backed by 300+ agentic AI workflows and a governance-first architecture, changes what enterprise AI deployment actually produces.