.png)
SoKat News & Events
JHU sponsors AI and Finance panel discussion in DC on May 9, 2025
Dr. Liew will lead an executive panel discussion with former interim Treasury Secretary, David Lebryk and Deputy CIO of the Office of the Comptroller of the Currency, Sean McIntyre.
.png)
Johns Hopkins University to host the inaugural AI in Asset Management Summit
This is an invitation-only forum for Chief Investment Officers, portfolio managers, and AI research leaders from across the asset management industry to examine production-scale examples of machine learning -factor engines, cross-asset allocation models, graph-driven deal sourcing, and real-time risk overlays - that are already delivering basis-point-level performance gains and sharper portfolio insights.
Sponsorships
available: Contact us.
More Details to Come Soon.
Dr. Liew presents Generative AI advancements in Finance at Boston Alternatives Leadership Conference on May 20, 2025
Dr. Jim Liew will present his research on “Generative AI: History, Hype, Horizon,” that traces the field’s evolution from statistical language models to today’s multimodal giants. His pragmatic optimism is intended to provide context for the audience of hedge fund COOs and CFOs to ponder whether tomorrow’s prime asset might be tokenised insight itself.
Dr. Liew to speak on Generative AI at Hedge Fund Leadership Roundtable on June 9, 2025
Dr. Jim Liew is expected to share insights on how Generative AI is transforming institutional finance through applications in algorithmic trading, risk assessment, and predictive analytics. The session will explore how financial institutions are leveraging large language models and other generative technologies to gain competitive advantages in market analysis, customer experience, and operational efficiency.
The new Administration's roadmap for Federal Government's approach to AI
Dr. Liew's recent interview provides insights as to how federal agencies can accelerate their AI adoption in alignment with the new Administration's priorities and mandates, primarily through empowering themselves with proven AI tools that result in measurable returns.
How does human intuition compare to AI models in discretionary trading?
The lastest research by Fabozzi, Chin, Yelnik, and Liew (2025) find that AI‐driven models are not only matching but frequently surpassing the performance of veteran discretionary managers, delivering consistent basis-point alpha by parsing far larger and more complex data sets than a human mind can handle.
Publication forthcoming.
SoKat launches
AI Accelerator for Summer 2025
SoKat's AI Accelerator will focus exclusively on applying advanced AI technologies to domain-specific applications. For Summer 2025, the Accelerator will focus on Finance and will provide teams with specialized mentorship, deep industry expertise, and an exceptional network to rapidly build, grow and launch.