As artificial intelligence transforms the workplace, IBM's Chief Human Resources Officer Nickle LaMoreaux offers an insider's perspective on the emerging world of AI agents and their profound implications for workforce dynamics. This fireside chat will explore the cultural shifts, productivity opportunities and human-AI collaboration strategies that are reshaping how we think about work, skills and organizational innovation.

When it comes to AI and quantum computing, it’s time to move past the sci-fi hype and start building real-world applications that expand what is possible with technology. We have entered a new era in which computers can learn, generate and operate independently, and at the same time, an entirely new computing paradigm is rapidly evolving that leverages quantum mechanics to solve seemingly impossible challenges. Join IBM Chairman and CEO Arvind Krishna for a discussion on how business and society can benefit from the convergence of these next frontiers in technology.

Since the Stone, Iron and Bronze Ages, Humankind’s progress has been driven by our mastery of materials. Now we have a remarkable new tool to explore and simulate materials to the quantum level. The applications of this new tool are emerging, and future use cases range from developing new materials for efficient batteries, sequestering carbon from the atmosphere, to understanding how key molecules helped life emerge on our planet.

This demonstration will show how an IBM Quantum System Two connected to the Fukagu classical supercomputer work together to accurately simulate Iron Sulfide—the famed ‘cradle of life’ molecule and basis for life on our planet.

Quantum computing has made extraordinary progress in the past year, with ‘breakthrough' achievements touted almost weekly. However, while quantum computing now seems inevitable (to most), the timescale and the degree of adoption and impact remain uncertain. There are engineering challenges to solve for every qubit modality, substantial reductions needed in errors and noise, questions about which real problems will have algorithms suitable for significant quantum advantage, and practical issues in integrating quantum computers effectively with classical infrastructure. There is also the challenge of training a new workforce to produce quantum technologies at scale, create quantum algorithms, and to develop useful, high-impact hybrid applications for business, research, and national security. In this session, we will examine each of these challenges and what it will take to address them, and discuss what this means for when and how different types of customers should begin their quantum computing journey.