- Updated: May 20, 2025
- 3 min read
TechCrunch Sessions: AI – A Must-Attend Event for AI Enthusiasts
TechCrunch Sessions: AI – A Must-Attend Event for AI Enthusiasts
In the rapidly evolving world of artificial intelligence, staying ahead of the curve is crucial. One event that promises to offer invaluable insights and networking opportunities is the TechCrunch Sessions: AI. This highly anticipated gathering is set to take place on June 5th at UC Berkeley’s Zellerbach Hall and will feature some of the most influential figures in the AI industry.
Understanding the Importance of Foundational AI Models
Foundational AI models are at the heart of modern artificial intelligence advancements. These models serve as the backbone for developing innovative AI applications across various sectors. At the TechCrunch Sessions: AI, attendees will have the opportunity to delve into the intricacies of these models and understand their immense potential.
Meet Jae Lee: A Pioneer in AI Innovation
Jae Lee, the co-founder and CEO of Twelve Labs, is one of the key speakers at this year’s event. With a background in developing state-of-the-art multimodal foundation models, Jae Lee has been instrumental in enabling developers and enterprises to extract deep insights from complex video data. His session promises to provide attendees with a unique perspective on how foundational models can revolutionize industries from media to security.
Event Agenda and Notable Speakers
The TechCrunch Sessions: AI is not just about listening to speeches; it’s about engaging with the best minds in the industry. The agenda includes a dynamic conversation led by Logan Kilpatrick, Senior Product Manager at Google DeepMind, alongside Jae Lee and Danielle Perszyk, PhD, a Cognitive Scientist from Amazon AGI SF Lab. This session will explore how startups can build on today’s leading foundation models and adapt to the rapidly changing AI landscape.
For those interested in the intersection of AI and business, the session titled “Revolutionizing AI projects with UBOS” offers insights into leveraging AI for business growth. Additionally, the “AI marketing agents” session will delve into the transformative power of AI in the marketing sector.
Ticketing Information and Discounts
TechCrunch is committed to making this event accessible to everyone in the AI community. For a limited time, tickets are available at a discounted rate, with savings of up to $300. Attendees can also enjoy a 50% discount on a second ticket, making it easier to bring a colleague or partner along for the experience.
The Power of Networking at TechCrunch Sessions: AI
Networking is a vital component of any industry event, and TechCrunch Sessions: AI is no exception. With over 1,200 decision-makers expected to attend, this event offers unparalleled opportunities to connect with industry leaders, potential collaborators, and like-minded professionals. Whether you’re a startup founder, a seasoned AI professional, or someone looking to break into the industry, the connections made here could be pivotal for your career.
Conclusion: Why You Should Attend TechCrunch Sessions: AI
The TechCrunch Sessions: AI is more than just an event; it’s a gateway to the future of artificial intelligence. With expert talks, workshops, and networking opportunities, attendees will leave with actionable insights and strategies to navigate the ever-evolving AI landscape. Don’t miss out on this opportunity to be at the forefront of AI innovation.
Secure your spot today and take advantage of the ticket savings. For more information, visit the UBOS homepage and explore related content such as the Enterprise AI platform by UBOS and Revolutionizing marketing with generative AI.
For additional insights into the role of AI in shaping the future, check out our article on the AI and the autonomous organization. Stay informed, stay connected, and be part of the AI revolution.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.