Dr. Dan Rosen joined a faculty of leading scholars and practitioners at the 10th Annual Swissquote Conference on Artificial Intelligence in Finance at École Polytechnique Fédérale de Lausanne (EPFL).
Artificial Intelligence (AI) has become a prominent tool in finance with applications of AI ranging from trading, investing, and risk management, to advisory and marketing of financial services. The conference featured current research and insights on AI in finance provided by leading experts and scholars in the field.
Dr. Rosen’s presentation discussed how advances in analytics and machine learning are helping Wealth Management firms re-think the wealth advisory cycle. These firms are now facing immense pressures from increased client expectations, mounting regulations with higher demand on disclosure and transparency, and fee compression due increased competition, low-fee products and robo-advisors. However, sound financial analytics, risk management tools and scenario analysis can be used consistently through the entire client advisory cycle, and allow advisors to understand performance and exposures; create customized portfolios aligned with their clients’ multiple goals; and manage risks across the enterprise. Technology, analytics and AI/ML tools will have a great impact on financial advice, but will not eliminate the need of human advisors. These advances will empower advisors to provide transparent value-added advice to their clients, through an enhanced experience that builds long-term trust.