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Check out the talks, masterclasses and meetups taking place at Web Summit 2026. We’re adding more every week.
Join us in Lisbon this November for a first look at tech’s future.

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11 November 2024; A general view of Centre Stage during the opening night of Web Summit 2024 at the MEO Arena in Lisbon, Portugal.

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Your AI pilot worked. Now what? Learn a practical framework to overcome cost, integration, and deployment complexity. Discover how to assemble edge architectures that deliver actual business impact. Please be aware that attendance is first-come, first-served.

Beyond the AI pilot: A blueprint for production scale [Hosted by Intel]

Nineteen out of every twenty dollars spent on AI compute buys hardware that sits idle. Drawing on production data from thousands of global deployments, Laurent Gil breaks down the broken economics of AI infrastructure and presents a framework to measure actual ROI and data sovereignty.

Who pays for AI and who owns it?

Explore how to turn edge AI prototypes into production-ready products. Learn strategies for optimizing AI, simplifying deployment, improving security, and scaling intelligent edge solutions. Please be aware that attendance is first-come, first-served.

Building scalable edge AI with Qualcomm Dragonwing™ [Hosted by Qualcomm]

Elastic's SOC shares lessons on deploying AI securely: what to automate, when humans must stay involved, and how governance evolves in high-stakes environments.
Please be aware that attendance is first-come, first-served.

Dogfooding AI security: Lessons from our own SOC [Hosted by Elastic]

Global VC is no longer frictionless. Driven by sovereign AI mandates, trade barriers, and supply chain shifts, capital strategies are now inseparable from geopolitical ones. Join this session as we unpack how top investors are navigating cross-border friction, deploying capital, and backing the next wave of global tech leaders.

The new geopolitics of venture capital

AI adoption is accelerating, but so is the cost of running AI at scale. As companies deploy increasingly powerful models and agents, controlling AI spend is becoming a critical challenge. Open models are changing the equation, offering lower costs, greater flexibility, and more control without sacrificing performance. Eric Jing, Co-Founder and CEO of Genspark, explores how businesses can combine open and frontier models to build powerful, efficient AI systems and get more value from every dollar spent on AI.

How to tackle expensive AI spending with open models

Fintech capital deployment jumped over 20% in H1 2026, but overall deal counts continue to shrink. As VCs write bigger checks into AI-native financial platforms, stablecoin rails, and category leaders, early-stage founders face a tougher bar than ever. Join leading investors as we unpack where the smart money is moving in 2026 and what it takes to get funded today.

The new rules of fintech funding

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Our 2026 schedule is now live!

Beyond the AI pilot: A blueprint for production scal...

Who pays for AI and who owns it?

Building scalable edge AI with Qualcomm Dragonwing™ ...

Dogfooding AI security: Lessons from our own SOC [Ho...

The new geopolitics of venture capital

How to tackle expensive AI spending with open models

The new rules of fintech funding

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