James Meng
Senior Fellow, SuperComputer Center, University of California, San Diego

Many important business and scientific problems are too complex for today’s classical computers to solve efficiently. These include weather forecasting, cybersecurity, supply chain optimization, traffic and logistics planning, drug discovery, healthcare, financial risk analysis, and investment portfolio optimization. As quantum computing continues to advance, even more business applications are expected to emerge.
Quantum computing is moving from research labs into practical business applications. Recent advances in quantum hardware and software are bringing us closer to quantum advantage—the point where quantum computers can solve certain problems faster, more accurately, or at lower cost than traditional computers. These developments have the potential to transform many industries.

Organizations are increasing their investments in quantum computing to accelerate innovation, solve difficult business problems, and prepare for the future. Industry surveys show that quantum computing now represents a growing share of corporate R&D spending, and companies that begin building quantum capabilities today expect significant long-term business value.

This seminar explains how quantum computing can work alongside classical Artificial Intelligence (AI) and Machine Learning (ML) to improve performance for large-scale and near-real-time applications. Participants will learn about practical industry use cases, hybrid quantum-classical AI/ML solutions, and emerging trends in quantum AI acceleration. Designed for data managers, AI practitioners, technology leaders, and business executives, this seminar provides a practical overview of today’s quantum computing landscape and its future potential. Attendees will gain a better understanding of where quantum computing can create business value and how organizations can prepare for the next generation of AI and advanced computing.

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