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David M. Siegel

Showing 1–2 of 2 transcripts.

  1. Milken Institute1h 1m

    The Transformation of Finance: Technology's Impact on Wall Street

    Larry Tabb, Corrie Elston, Adena Friedman, Daniel Nadler, David M. Siegel, Jackson Mueller

    Hosted by Larry Tabb, a panel of industry leaders including Corey Elston, Dan Nadler, David Siegel, and Adina Friedman examines how automation, artificial intelligence, and cloud computing are reducing Wall Street's headcount by an order of magnitude while shifting the workforce toward data scientists. The experts predict that while blockchain and machine intelligence will not eliminate traditional banks, they will force a structural evolution where institutions transition from proprietary trading to value-added services and operate with significantly higher operating leverage. Ultimately, the convergence of these technologies aims to eliminate capital inefficiencies and rent extraction, creating a financial ecosystem where the cost of market exposure approaches zero through democratized access to sophisticated algorithmic tools.

  2. Milken Institute58 min

    Artificial Intelligence: Friend or Foe?

    Alexandra Suich, Guruduth Banavar, Michael Ferro, Stuart Russell, David M. Siegel, Shivon Zilis

    A panel of experts frames the current AI revolution as being in its early stages, emphasizing the shift from sci-fi fantasies of sentient robots to practical "narrow AI" that augments human intelligence across diverse sectors like healthcare, agriculture, and transportation. While highlighting transformative benefits such as expanded medical diagnostics and automated labor, the discussion underscores immediate risks including white-collar job displacement, the weaponization of autonomous systems, and the complex ethical challenge of encoding human values into machine decision-making. Looking toward the next decade, the consensus predicts universal cognitive assistants and significant advancements in personalized medicine and road safety, contingent on establishing new legal and safety frameworks to manage the societal impacts of this widespread automation.