Join us as we explore the current challenges facing businesses and policy makers as disruptive technologies alter operations and strategies — as well as entire industries. The forum hosts business leaders, top scholars and policy experts debating the most pressing current issues in a novel format.
Join our panel of experts who will share their technological, legal and social expertise to answer the questions raised by the real-world performance of risk assessment instruments.
Corporate executives have begun to glimpse the strategic value of incorporating artificial intelligence as an “employee” within their organization. In this Kenan Insight, we explore a framework that outlines the critical elements for harnessing the potential of human-AI working relationships.
Quantum circuits are an essential aspect of quantum algorithms and applications. Their efficiency can greatly impact not only the efficiency of higher level algorithms but also their feasibility and applicability, especially in the current NISQ era. In this talk, Shaohan Hu, will join us from the Future Lab of Applied Research and Engineering at JPMorgan Chase to discuss two pieces of his recent work on building efficient quantum circuits.
The widespread adoption of technological advances has made the move to working from home during the COVID-19 pandemic a success. In this Kenan Insight, we look at why the switch was such a win, its impact on worker productivity, and what it means in the long term for workers, office spaces and cities.
During the past 40 years, the income gap between top and bottom earners has expanded exponentially, with the top 1% controlling about 20% of national income and the bottom 50% holding less than 13%. In this Kenan Insight, we examine the role of two factors contributing to regional inequalities in the U.S and Europe: job automation and telecommuting.
The Kenan Institute of Private Enterprise at the University of North Carolina at Chapel Hill will host a virtual conference on machine learning in finance on March 5, 2021. The conference is co-sponsored by the Journal of Financial Econometrics (JFEC) and the International Center for Finance (ICF) at Yale University.
We study the impact of widespread adoption of work-at-home technology using an equilibrium model where people choose where to live, how to allocate their time between working at home and at the office, and how much space to use in production. A key parameter is the elasticity of substitution between working at home and in the office that we estimate using cross-sectional time-use data.
Join us to hear Dr. Daniel J. Egger present his findings from his work in the Quantum Technologies group at IBM Research in Zurich. His research focusses on the control of quantum computers and on the practical applications of quantum algorithms in finance.
The tremendous growth in cryptocurrency trading has included frequent pump-and-dump (P&D) schemes. The resulting volatility has raised both excitement and concern about exploitation and fraud. Unlike the stock market, where P&D schemes can last for months, in the cryptocurrency market the price and volume inflations last just minutes, making it is almost impossible for those not in the pump group to participate. P&Ds are organized through pump groups who communicate through heavily encrypted message platforms. Investors learn about the groups through ads on social media.
Our research examines 500 cryptocurrency P&D schemes to better understand their timing, characteristics and impact. As cryptocurrency exchanges think about regulating P&Ds, our researchers seek to understand who is currently benefiting and what these “cryptobloggers” do to the health of the cryptocurrency market.
Mergers and acquisitions (M&As) are an important mechanism through which new technology is adopted by firms. We document patterns of labor reallocation and wage changes following M&As, consistent with the adoption of technology. Specifically, we show target establishments invest more in technology, become less routine task intensive, employ a greater share of high technology workers, and pay more unequal wages.
Emerging artificial intelligence (AI) capabilities are ushering in significant changes in how enterprises operate – and raising a host of questions for organizations. In this Kenan Insight, we explore how changing the organizational mindset to treat AI as an “employee” may pave the way to fully reaping the benefits of AI systems.