Nowcasting On Near Term AI/ML Adoption Within Financial Institutions

Featured Guests

Dr. Gary Wong

AI & Machine Learning Advisor, Artemis A.G. Former Managing Director & Head, Structured Trading (Mitsubishi Securities London) PhD, Imperial College London

Dr. Gary Wong combines frontier technology expertise with deep capital markets experience. As an advisor to Artemis A.G. and fintech startups, Gary guides the largest investment banks and funds on AI-driven competitive strategies and risk management. He is celebrated for translating quantum physics research into game-changing financial modeling, and has delivered quantifiable impact as head trader and managing director at Mitsubishi Securities London. Gary’s influence spans theoretical physics, trading, and product development, making him one of the leading voices in practical AI adoption for finance.

Robert Akeson

Moderator | Riverside Management Group

Robert Akeson is a trusted advisor and moderator at Riverside Management Group, with a career spanning enterprise consulting, event leadership, and strategic communications for major investment, technology, and alternative finance organizations.

Key Insights From This Episode

AI Is an Efficiency Tool—Not a Silver Bullet

AI and machine learning unlock new pattern recognition and rapid analysis but often struggle to deliver bottom-line results for investors unless tightly scoped to business KPIs and practical outcomes.

Successful AI Projects Require Defined Objectives and Command Precision Clearly articulated goals—akin to “interpreting the Oracle”—are critical; ambiguous directives can lead AI systems to pursue unintended, sometimes counterproductive, paths.

Legacy Tech and Data Governance Are Central Obstacles

Financial firms face major hurdles integrating AI into manual, siloed, or legacy systems (Cobalt, Fortran, flat files), making visualization tools like graph computing essential for bridging the divide.

‘Nowcasting’ Powers Real-Time, Adaptive Decisions

By continuously updating forecasts with the latest data, nowcasting enables professionals to outpace rivals—whether in credit risk analysis, trading, or deal sourcing.

Precision Thinkers Will Excel

Analysts, accountants, and decision-makers trained in statistical reasoning and business process logic—paired with next-gen digital tools—will be indispensable in AI-first organizations.

Most AI Projects Fail Without Clear Business Alignment

Lack of integration, oversight, and governance leads to project failure; performance monitoring and fit-for-purpose checks must be continuous and built-in to every deployment.