Join us for an enlightening conversation as we sit down with a distinguished professor from NYU's Stern School of Business, a leading voice in the fusion of decentralized finance and machine learning. This episode promises to expand your understanding of the dynamic world where technology meets economics, highlighting innovative mechanisms like automated market making and liquidity pools. Our guest brings a wealth of experience from high-dimensional statistics to blockchain technology, offering insights into navigating the challenges of liquidity, directional risk, and the volatile crypto landscape.

Explore the future of business with AI and Web3 as we discuss the practical applications of these technologies across diverse sectors, including law and finance. Our guest co-edited the insightful book "Beyond AI," which demystifies AI for MBA students and non-experts alike. Learn about potential solutions for preserving data privacy and enhancing security in law firms through decentralized systems, and discover how the balance between local and cloud processing could reshape privacy protocols in AI training models.

As we close the episode, we delve into the complexities of Web3, from transaction speeds to storage solutions, and the crucial need for robust regulation to address privacy and system vulnerabilities. The conversation also touches on the potential of making cutting-edge technologies more accessible beyond niche circles, encouraging professionals in traditional industries to harness their transformative power. Our guest's journey from computer science to business academia underscores a commitment to addressing real-world problems and exploring the vast possibilities of integrating AI, crypto, and finance.

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