As organizations move beyond AI experimentation into large-scale deployment, new demands on infrastructure, networking, operations, and governance are exposing the gap between AI adoption and AI value. Antonio Neri, President and CEO of HPE, joins Six Five at HPE Discover 2026 to examine what it takes to build resilient, intelligent environments capable of supporting the agentic enterprise and turning AI investment into measurable business outcomes.

As customer expectations continue to shift, modern brand strategy increasingly depends on connecting brand, customer experience, data, and technology into a single discipline. Jennifer Temple, EVP and Chief Marketing and Communications Officer at HPE, Patrick Moorhead and Daniel Newman at HPE Discover 2026 to examine how the CMO role has evolved, what consumer behavior shift marketers need to watch most closely, and what will separate brands building durable customer relationships from everyone else.

As AI deployments move from experimentation into production, networking is emerging as the factor that determines performance, scalability, and operational success at scale. Rami Rahim, EVP, President and GM of Networking at HPE, joins Daniel Newman at HPE Discover 2026 to examine how enterprises are rethinking network architecture, automation, and operations to build the foundation AI infrastructure actually depends on.

Distribution has moved well past fulfillment, and Eric Kohl, VP of Global Vendor Engagement at Ingram Micro, makes the case that complexity itself has become the distributor's value proposition. Kohl joins Six Five at HPE Discover 2026 to break down how Ingram Micro is helping channel partners build credible practices across networking, security, and AI, and why identity is the next adjacency partners cannot afford to ignore.

Enterprise infrastructure decisions around hybrid, edge, and sovereign cloud are no longer modernization exercises. They are long-term architectural commitments being shaped by AI adoption, data residency requirements, and governance mandates that cloud-only strategies cannot satisfy. Meena Gowdar and Justin Slane from Microsoft join Six Five at HPE Discover 2026 to examine how the Microsoft and HPE partnership is helping enterprises extend cloud capabilities, address sovereignty requirements, and modernize mission-critical workloads on a foundation built for what comes next.

Patrick Moorhead and Daniel Newman cover Tim Cook's final WWDC as CEO and Apple's Gemini-powered Siri strategy, the $35 billion Apollo and Blackstone deal backing Anthropic's capacity expansion, Intel's packaging wins with Google and NVIDIA, SpaceX's IPO at a $1.77 trillion valuation, Anthropic's Claude Fable 5 and Mythos 5 launch across every major cloud, and earnings reactions from Oracle, Micron, and Adobe.

The enterprise data bottleneck in the agentic AI era is not storage capacity. It is making the data that matters visible and accessible to AI models at the moment of decision. In this Six Five Virtual Webcast, Snowflake CEO Sridhar Ramaswamy joins Patrick Moorhead and Daniel Newman to examine how coding agents are becoming the foundational infrastructure of the agentic enterprise, why architectural flexibility across models, formats, and cloud providers is a competitive requirement, and what enterprise data leaders must prioritize to build a compounding advantage in the next 12 months.

Nobody predicted that agents would be the thing that brought CPUs back to the center of the infrastructure conversation. Patrick Moorhead and Daniel Newman sit down with Mark Russinovich and Arun Kishan from Microsoft Azure to break down Cobalt 200, Azure's open-source infrastructure strategy, and what the next phase of enterprise cloud compute actually looks like.

Cleveland Clinic, IBM, and RIKEN completed the first large-scale quantum simulation of a protein-ligand complex in explicit water, scaling across 10,000 to 13,000 atoms using an atom-by-atom embedded wave function framework. Dr. Kenneth Merz, Principal Investigator at Cleveland Clinic Research, outlines how this milestone connects to free energy calculations, lead optimization in drug discovery, and the hybrid quantum-classical architecture that defines quantum's role in biomedical research today.

AI inference performance depends on storage architecture more than most enterprise infrastructure teams have accounted for. Analyst Ryan Shrout and Avi Shetty, VP of AI Ecosystem and Market Enablement at Solidigm, breaks down why growing context windows force GPU recompute when storage is under-provisioned, how the three-tier inference storage architecture addresses that constraint, and why Jensen Huang's projection that the context memory tier will consume the entire TAM of storage signals the scale of infrastructure commitment enterprises need to be planning for now.