Legacy architectures designed for human speed can’t survive the shift to Agent Scale. As enterprises move toward autonomous loops, old systems are crumbling under fragmented data and rising costs. Join this session to learn about end-to-end, multicloud lakehouse capabilities that help you unify operational data, multimodal storage, and analytics on an interconnected and governed Apache Iceberg foundation. Learn how to enable full interoperability across Apache Spark, BigQuery, and AI services with a singular control plane flexible storage.

Hear from leading organisations that have successfully shifted to an agent-ready workforce to drive measurable business value. In this customer-led panel, you’ll unpack proven strategies for change management, upskilling, and cultural adaptation designed to maximise your AI investment. Learn how to bridge the gap between executive vision and employee reality, turning AI optimism into tangible ROI that empowers individuals, modernises teams, and accelerates your bottom line.

Transition from passive chat interfaces to proactive, agentic systems that execute complex tasks. This session explores the architectural patterns required to build reliable AI assistants capable of autonomous financial management, along with a real-life application in a large financial organisation that runs in production. We will examine how to integrate AI agents with real-time enterprise APIs to enable agents that don’t just summarise data, but act upon it. We will discuss the design principles for building agents that are both autonomous and aligned with strict operational requirements.

AI powers enterprises to create some of the biggest shifts in customer experience. Gemini Enterprise for Customer Experience (GECX) is driving radical upgrades to customer journeys across all modalities, channels, and patterns. Hear first-hand how enterprises are approaching this inflection point, across a number of patterns including self-service discovery, AI augmented assistance and fully automated customer journey with seamless crossover between telephony and digital channels. Learn what is in production today, what’s currently in-flight, and what’s coming soon.

Join us for a technical deep dive into Google Cloud’s latest AI innovations for the enterprise, from the newest model endpoints to the robust orchestration of agents. Featuring a guest speaker from Google AI Research, we will discuss recent breakthroughs and the long-term trajectory of the AI field. Learn how to use today’s cloud infrastructure while preparing your technical stack for the next wave of AI innovation.

In a hyper-connected world, value is won or lost in the gap between a global signal and a business response. This session explores the shift from rigid, scheduled processing to real-time event-driven agentic architecture – a living nervous system for the modern organization. We move beyond static automation into the realm of autonomous agents that don’t just store data, but reason and act upon it within the millisecond window of opportunity. We will dissect the frameworks required to orchestrate these intelligent entities across distributed global environments, ensuring they remain governed and aligned.

AI is making developers faster than ever — 63% of organizations now ship code to production more quickly since adopting AI coding tools. But speed without context is creating a new crisis. Downstream processes like testing, security, and deployment haven’t kept pace, and the data tells the story: 45% of deployments linked to AI-generated code lead to problems, and nearly three-quarters of organizations have already experienced a production incident caused by AI-generated code. This is the AI Velocity Paradox — and it’s the defining challenge for engineering leaders in 2026. In this session, Harness and Google Cloud introduce a fundamentally different approach: AI-powered delivery agents grounded in a Software Delivery Knowledge Graph. Rather than adding more automation to a broken pipeline, this model connects code, pipelines, infrastructure, incidents, and developer activity into a single intelligence layer — giving AI agents the context they need to act, not just execute. Prateek Mittal (Harness) and Google Cloud will show how forward-thinking engineering organizations are using Harness AI with Gemini Enterprise Agent Platform I capabilities to: Close the gap between coding speed and delivery safety with end-to-end lifecycle automation Cut incident recovery time and operational risk through AI agents that triage, diagnose, and self-heal Replace fragmented point tools with a unified platform that gives engineering leaders full visibility across the SDLC Reduce cloud waste through context-aware optimization, not just cost dashboards The takeaway: solving the AI Velocity Paradox isn’t about slowing down development — it’s about making everything after code as intelligent as the tools writing it. We’ll share a concrete blueprint for moving from reactive automation to proactive, agentic software delivery that turns AI speed into measurable business outcomes.

Enterprise AI projects rarely fail because of the AI model itself. They fail because the underlying architecture can’t support it. Legacy systems were built for stability, not change. Today, they stand directly in the way of exactly what AI needs to succeed: clear business logic, accessible data, modular architecture, and strong governance. We recently sat down with our CTO and AI Modernization Lead to discuss how to break through this bottleneck. Watch it now for free and benefit from their expertise.

Modern APIs power critical digital services, yet many operate in the shadows, creating security gaps traditional tools miss. Shadow APIs and undocumented endpoints quietly expand your attack surface, risking data integrity and compliance without your knowledge. This webinar shows how to gain full visibility into your API ecosystem with real-time discovery. See how F5 Distributed Cloud Services and BIG-IP platforms transform API security from reactive to proactive, helping teams identify and manage unknown endpoints before they become threats. · Discover shadow APIs and undocumented endpoints that evade traditional tools · Maintain continuous visibility as your API landscape evolves · Integrate real-time discovery into existing security workflows Watch to learn how to strengthen API security and reduce exposure to hidden threats.

Organizations in hybrid and multicloud environments face pressure to optimize costs, accelerate development, and boost efficiency. As cloud complexity grows, understanding the business value of distributed cloud investments is critical for justifying decisions and achieving outcomes. This webinar shares findings from a Forrester Total Economic Impact study on the financial returns achieved with F5 Distributed Cloud Services. Forrester Consultant Xin Tao provides insights into how businesses gain value in infrastructure resilience, development speed, and productivity. · Measuring ROI for distributed cloud deployments · Benefits in cloud optimization and development enhancement · A composite customer case study showcasing real-world scenarios · Strategies for maximizing outcomes in hybrid and multicloud setups Watch to gain insights that inform your cloud strategy and build a strong business case for distributed cloud adoption.