Day 2 Customer 2030 & Future Trends Track (continued)
12:30PM How to Create Breakthrough Innovations Risk-Free This session explores how brands can de-risk innovation by testing concepts with real buyers—people willing to put money down before a product even exists. Learn how companies use data-driven valida- tion to refine product-market fit, optimize pricing, and confidently invest in R&D. Discover a proven framework for rapidly testing prod- uct concepts in real-world environments.
Narek Vardanyan CEO, Prelaunch
Key Takeaways: 1. Test before you invest Learn how to validate prod- uct demand before commit- ting resources.
2. Real buyers, real insights Discover how early adopters provide the most reliable market signals.
3. De-risk innovation Use pre-market validation to avoid costly failures and build successful product.
1:45PM AI Energy - Balancing Nuclear Risk with Business Need
Burgeoning AI energy demands, and the evolving landscape of nuclear power have come to a complex crossroads. Navigating both has prom- ise and potential perils.
Jhansi Kandasamy The Nuclear Co
Key Discussion Points: Nuclear Policy & Geopolitical Realities
Alexandra Bell President, The Bulletin of Atomic Scientists
• Gain essential insights into the current geopolitical climate surround- ing nuclear weapons, emphasizing the heightened tensions reflected in recent UN Security Council discussions and global nuclear stockpile assessments • Benefit from a translation of complex policy issues into actionable information for businesses, outlining the potential impacts of interna- tional instability on energy infrastructure and supply chains. • Receive the most up to date information regarding the Doomsday Clock.
Nuclear Energy Advances & AI’s Energy Demands • Realize the revolution of nuclear construction, focusing on the deployment of fleet-scale, cost-effective nuclear power to meet the escalating energy demands of AI and other data-intensive industries. • Understand the integration of proven reactor technologies with digital innovation, em- phasizing the potential for reduced development timelines and increased efficiency. • Gain knowledge into the growing interest from tech giants like Microsoft, Amazon, and Google in nuclear energy, as evidenced by their pledges to triple nuclear capacity by 2050, and how this relates to their AI development. • Review how to achieve a consistent baseload energy that AI development requires.
60 • FEI25
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