Join Clara and Barbara Humpton, CEO of Siemens USA, as they discuss how AI is transforming physical infrastructure and manufacturing, from predictive maintenance to remote factory management. Humpton shares insights on building trusted industrial AI systems, bringing manufacturing jobs back to America through "glocalization," and why she believes curiosity and initiative are the most critical skills for our future workforce.

Join Clara Shih, CEO of Salesforce AI, to explore Agentforce, a groundbreaking AI platform that combines roles, data, actions, channels, and Trust to create autonomous enterprise agents. Highlights from the 2024 Dreamforce Keynote, where CEO Marc Benioff, EVP Patrick Stokes, and Clara show how AI agents can transform customer service, sales, marketing, and commerce, including a real-world demonstration of Saks Fifth Avenue's AI assistant Sophie handling order modifications and store pickups, all powered by Agentforce.

Join Clara Shih and Vipul Ved Prakash, founder of Together AI, to discuss how his startup is challenging major cloud providers with GPU-specific offerings optimized for AI workloads. He shares insights on the future of AI infrastructure, the importance of open source models, and how companies can leverage AI as a strategic asset while considering ethical implications.

Join Clara Shih and Zak Brown, CEO of McLaren Racing and former racing driver, as they discuss the cutting-edge role of AI and data in motorsports. Hear how McLaren leverages AI to optimize vehicle performance, improve race strategy, and enhance the fan experience across Formula 1, INDYCAR, Formula E, Extreme E and esports racing events. Brown shares insights on how racing drivers have adapted over the last two decades to an increasingly technology-driven sport, with interesting parallels to how front-office knowledge jobs such as sales and customer service are evolving to capitalize on the AI moment.

Join Clara Shih and President of Salesforce Engineering, Murali Krishnaprasad as they discuss the evolution of Data Cloud, its integration with AI technologies, and how it enables Agent Force to provide seamless customer experiences across marketing, sales, and service using both structured and unstructured data.

Join Clara Shih for her conversation with AMD CEO, President and Chair Lisa Su to discuss the future of AI computing from the chip all the way up the hardware and software stack. From innovative chip designs to system-level optimizations, Su shares AMD's strategy for capturing compute workloads from AI PCs to AI embedded in industrial machinery to cloud and on premise data centers, as well as how AMD itself has evolved its culture for the times and is using AI to transform everything from sales, marketing, and service (as a successful customer of Salesforce's Einstein AI solutions!) to chip design and manufacturing.

Join Clara Shih as she explores the challenges, opportunities, and paths forward for organizations to embrace AI with Ethan Mollick, Wharton professor and author of the New York Times-bestselling book Co-intelligence. They discuss recasting traditional corporate human resources departments as the new R&D, why AI risks shouldn't be an excuse for inaction, and what he's learned from encouraging students in his class at UPenn to use AI for their work.

Join Clara Shih for her conversation with renowned futurist and Salesforce Chief Futures Officer Peter Schwartz, known for his prescient work on films like 'Minority Report' and 'War Games'. Peter shares where he gets his inspiration, his deep optimism for the future, and why leaders should be designing friction into experiences.

Clara sits down with Kathy Vidal, Under Secretary of Commerce for Intellectual Property and Director of the U.S. Patent and Trademark Office. Together, they discuss the transformative role of AI in intellectual property and its potential to democratize innovation.

Clara sits down with the founder/CEOs of three of the hottest AI companies-- Aravind Srinivas (Perplexity AI), Jerry Liu (LlamaIndex), and Harrison Chase (LangChain) to discuss the tooling, data prep, and agility needed to operate and add customer value in the rapidly evolving LLM space.