We are excited to welcome Lucas Leclerc, a Research and Development Quantum Engineer at PASQAL, to share his work on a quantum-enhanced machine learning solution for the prediction of credit rating downgrades. Leclerc and his team of fellow researchers implement this solution on a neutral atom Quantum Processing Unit with up to 60 qubits on a real-life dataset. They report competitive performances against the state-of-the-art Random Forest Benchmark with their model achieving better interpretability and comparable training times. Join us on Friday, April 7th at 2pm to hear from Leclerc as he walks through this machine learning solution for fallen-angels forecasting.

In March 2023 the story of crypto hinged on FTX, but crypto has turned a page in a new chapter and that was clearly the case this year. There was an upbeat mood among industry participants, which included some of the creators of the recent SEC approved spot Bitcoin ETFs. Capital inflow into crypto funds has surpassed their two-year highs. However, regulatory uncertainty around the digital assets industry remains.

Traditional contact tracing, where workers query patients about their interactions to see who else might have been infected — and perhaps to find out where they got the infection — is being widely used. But for the first time, many public health authorities are considering, or have implemented, smart phone apps to partially automate and scale contact tracing.

Although artificial intelligence (AI) has become a crucial component of digital transformation efforts tied to organizational strategy, many firms struggle to articulate the strategic value of emerging AI systems. In this article we argue that the power of AI as a strategic resource lies in its self-learning capabilities. Such learning capabilities are only realized in partnership with humans through mutual learning. By building on a learning-centered framework, we elaborate on how AI can contribute to organizational learning to create a competitive advantage. We formulate the concept of artificial capital and the ways artificial and human capital can together drive routinization and strategic learning processes that connect internal and external environments of the organization. Finally, we use this conception to formulate practical recommendations for managing and developing AI to meet strategic business goals.