Join our Emcees to hear all about the upcoming keynotes and sessions that will explore how to unleash the power of AI in enterprise infrastructure and applications. Get ready for 2 full days of thought leadership from industry leaders across a wide range of major industries.
Recent reporting suggests that Frontier AI systems are moving from assistive tools to autonomous operators capable of conducting end-to-end offensive cyber operations in hours rather than weeks. By reasoning, planning, and adapting without direct instruction, these systems can discover zero-day vulnerabilities, chain exploits, and compress defenders’ decision cycles beyond the pace of human-led security operations. This shift has immediate implications for national security, cryptographic resilience, and organizational governance, turning post-quantum migration and AI-speed incident response from long-term priorities into urgent continuity requirements. Attendees will leave…
Every enterprise now has PQC on the board agenda. What separates the organizations that will meet CNSA 2.0 and emerging regulatory horizons from those that won’t is no longer the mandate – it’s the program. This panel convenes cryptography and PKI leaders running active PQC migrations inside large financial services and healthcare institutions. The focus is operational: how they structured the program and who owns it; what is shipping today (crypto-asset discovery at scale, hybrid TLS at the customer edge, SLH-DSA and LMS/XMSS for code…
This session transforms ‘AI-native enterprise fabric’ from whiteboard concept to buildable blueprint. Panelists walk through real BOMs, topology choices, and integration patterns for converging high-performance fabrics, GPU/DPU servers, distributed storage, and closed-loop automation into a reference architecture deployable in 2026 – not 2030. The session addresses the five constraints every infrastructure team actually faces: GPU scarcity, power and cooling limits, heterogeneous silicon management, network fabric choices, and the talent gap.
Traditional enterprise IP networks – designed for small, random, short-lived flows – are structurally incompatible with AI’s traffic patterns: synchronized, long-lived, bandwidth-hungry, and catastrophically sensitive to tail latency. This panel brings together the network architects who have actually redesigned their fabrics for AI, sharing what they changed, what they got wrong first, and what every enterprise network team must address before AI workloads hit production.
Behind every AI workload is a network that has to move data faster, more reliably, and more efficiently than ever before. Broadcom will discuss the infrastructure layer, from networking silicon to enterprise networking systems that underpins AI readiness, and what it means for enterprises building networks designed to scale with AI demand rather than react to it.
Enterprises can’t scale AI on networks that still rely on manual troubleshooting and tribal knowledge. NetBrain will discuss how AI-powered network automation and diagnostics are becoming foundational to enterprise readiness, helping NetOps teams move from reactive firefighting to proactive, self-healing network operations.
