This panel brings together leading researchers to discuss how we can develop AI systems that are more trustworthy, safe, and ethically sound. Panelists will explore practical approaches to embedding safety, reliability, and trustworthiness into AI design and implementation, drawing on their pioneering research and leadership in responsible AI development.
Customer experience isn’t defined by a single interaction, channel or moment. It’s the cumulative effect of every decision, interaction and system across a business—experienced as one continuous reality by the customer.
In complex industries like insurance, that reality is shaped across product, policy, operations, service and technology. Each part of the business contributes to the experience, whether intentionally or not. As AI becomes embedded across these systems, organizations have a new opportunity—not just to optimize individual touchpoints, but to rethink how experiences are created end to end.
This conversation will explore what it takes to reimagine customer experience at that level: where friction truly comes from, how leadership decisions shape the experience, and how organizations bring people along to make it real.
As organizations transition from AI experimentation to industrial-scale production, the focus has shifted to the “AI Factory”—a repeatable, high-performance pipeline for enterprise intelligence. This session highlights how Red Hat platforms private AI solutions that embed AI-centric intelligence directly into the data center.
As artificial intelligence moves from experimental pilot programs to the core of enterprise operations, the “move fast and break things” itself breaks down. It is critical that security is deeply woven into the planning and design of AI systems and the AI lifecycle.
In this session, we explore how Cisco is redefining the security landscape for the intelligence revolution. We will examine the unique threat vectors introduced by AI, including data integrity, model robustness, and the complexities of securing vast, distributed AI workloads. Attendees will learn how to integrate Cisco’s robust security architecture—from the network edge to the data center—to build a foundation of trust. Join us to discover how to accelerate AI innovation while ensuring your organization remains resilient against the evolving threat landscape.
Universal Wallet Infrastructure (UWI) is a platform designed to enable secure and interoperable credential-based ecosystems across industries. This session will begin with an introduction to the concept and core value of UWI. Our pilot collaboration with Pearson serves as a tangible example, highlighting key learnings and practical applications. The session will also outline how UWI can scale beyond initial use cases, unlocking new opportunities across global enterprises and the public sector.
From lifesaving medical breakthroughs to game-changing advances in AI, quantum, and photonics, the world’s most impactful innovations trace their origins to basic research. But these breakthroughs don’t happen in isolation: they depend on dynamic partnerships between university labs and industrial research centers like NTT Research, Harvard, and Cornell.
Cisco is at the forefront of shaping the future of energy, playing a critical role in innovating and transforming the energy landscape. In this session we’ll discuss how we’re future-proofing IT infrastructure to meet AI demands from the campus to the data center through deploying pioneering advancements in Fault Managed Power (FMP) technology systems.
Intelligent enterprises are not built on AI alone. They emerge from combinatorial innovation across the technology stack—where AI converges with advanced connectivity, edge and cloud compute, and sensing. This panel explores why system-level intelligence requires tight co-design across these domains to meet industrial demands for latency, scalability, and resilience. Using NTT AIVista as an example, the discussion shows how AI platforms can orchestrate deep R&D into deployable enterprise intelligence.
Lunch will not be provided on Day 2. We encourage you to explore nearby options like SoFA Market (a 7-minute walk) and San Pedro Square Market (a 10-minute walk). Both offer a wide range of dining choices.
As AI and cloud workloads surge, the energy demands and scaling limitations of electronic data centers have reached a breaking point. Enter photonics: a transformative approach that replaces electronic bottlenecks with light-speed data movement, unlocking new levels of efficiency, performance, and sustainability. This panel brings together industry pioneers and innovators to explore why photonics isn’t just a research frontier—it’s the future reality for data centers worldwide.
6G should be a resilient, AI-native infrastructure platform that secures societal progress and continuity, powers immersive value-added services, and transforms operators from commodity carriers into strategic digital platform providers. The exhibition presents a clear call-to-action for operators and ICT industry at large to invest in global standards, AI-capable platforms, resilient architectures, and sustainable business model to secure competitive advantage and public trust.
Modern buildings require a high-performance power infrastructure that is as flexible and intelligent as the devices it supports. Today, we are introducing Class 4 Fault Managed Power (FMP)—a giant leap forward in safe, smart power delivery. By combining the ubiquity of PoE with the capacity of FMP, we are helping customers simplify their infrastructure, minimize energy loss, and accelerate building automation.
Lunch will not be provided on Day 2. We encourage you to explore nearby options like SoFA Market (a 7-minute walk) and San Pedro Square Market (a 10-minute walk). Both offer a wide range of dining choices.
Life sciences is rapidly becoming agentic—driven by autonomous AI systems that can design experiments, simulate biological processes, and make decisions once reserved for human experts. But as agency increases, so does risk. Verifiable trust provides a foundation by introducing cryptographic guarantees of data provenance, model integrity, and execution correctness, ensuring that every decision can be independently validated and reproduced.
AI is rapidly moving beyond cloud-based analytics into the physical world. This fireside chat explores how physical AI is enabling autonomous machines, intelligent infrastructure, and real-time decision-making across industries such as manufacturing, automotive, logistics, and smart cities.
