At a time when professionals across finance face increased pressure to integrate artificial intelligence into their workflows, data has become the cornerstone of every decision system. It’s not the fuel; it’s the foundation. Yet more data doesn’t automatically mean better intelligence, and overreliance on AI can create costly blind spots.
In this Keynote, Cornell Professor Victoria Averbukh and Evan Reich, Chief Product Officer and Head of AI at BWG Global, will use real-world examples to illustrate how and why AI models often fall short in finance. They’ll explore how bias, flawed assumptions, and misplaced trust in machine outputs can lead to poor decisions — and why human judgment remains essential.
You will discover practical ideas for sharpening your instincts, critically evaluating AI-driven insights, and striking the right balance between automation and expertise in financial decision making.
