Most network teams are being told to automate everything. Join Lightyear’s CEO & Co-Founder, Dennis Thankachan, for a practical look at where AI agents can deliver real value in enterprise telecom operations—and where they may still fall short. Dennis will cover what components of the network operations stack are going agentic, as well as what AI can automate across the telecom lifecycle, including procurement, inventory, and billing.
Enterprise AI taught a hard lesson: the technology arrived faster than organizations knew what to do with it. Quantum is next – and the bottleneck has already shifted from hardware to applications. In this session, Zapata Quantum demonstrates how enterprises build a defensible quantum roadmap today using Quantum Pilot, our application intelligence platform. We’ll share the tools and techniques we use to identify which quantum applications are Valuable, Viable, and Validated for your business, when they’ll matter, and how to sequence investment – so you’re…
The recent AI-assisted cryptanalysis of HAWK, a post-quantum cryptography candidate, highlights how quickly computational security assumptions can be challenged. In this 10-minute talk, Michael Cubeddu, CTO and Co-Founder of Aliro, will examine how AI uncovered a significant weakness in HAWK in roughly 60 hours after years of expert review, what that means for long-term security planning, and how entanglement networks can complement PQC by protecting critical data using the laws of physics rather than computational hardness assumptions.
Enterprises are racing to adopt AI, yet ambition is outpacing infrastructure. Pilots stall, agentic workflows can’t scale past proof of concept, and the promised gains in speed and autonomy stay out of reach — not because the AI is lacking, but because the infrastructure beneath it isn’t ready. This session examines why enterprise AI adoption is hitting a wall: legacy network architectures built for human-driven, site-to-site interactions are fundamentally mismatched with the identity, intent, and real-time demands of machine-driven and agent-based systems. The network isn’t…
This session explores how full-stack optimization across compute, networking, and software can unlock higher GPU utilization, faster training, and more predictable performance in AMD-based AI clusters. Attendees will learn practical design principles for building high-performance Ethernet fabrics, reducing bottlenecks, and optimizing the complete AI stack, from GPU communication to cluster-scale architecture. Ideal for enterprise infrastructure leaders planning or expanding AI deployments.
