Damon C. Gatison
SVP & Head of North America, SYNTHESIS | Financial Services Strategy & Transformation
A 25-year financial services executive who explains why AI initiatives break down in execution, and what separates experimentation from real outcomes.
Categories
Talking points
- Why AI initiatives stall in banking, investment management, and capital markets
- What separates AI experimentation from real execution
- Real examples of failed pilots, and what went wrong
- Moving faster inside regulated environments without increasing risk
- Modernizing legacy systems and underutilized platforms
- Change leadership: the human side of enterprise transformation
The hook
AI doesn’t fail in financial services because of the models. It fails on contact with the organization.
Damon Gatison has spent 25+ years inside investment management, investment banking, and broker/dealer operations. His take: legacy systems, underused platforms, and operational complexity, not technology, are what stall AI in banking, and he knows what it takes to move faster without adding risk.
Bio for your show notes
111 wordsDamon C. Gatison is a senior financial services executive with more than 25 years of experience spanning investment management, investment banking, broker/dealer operations, and enterprise transformation. As SVP & Head of North America at SYNTHESIS, he leads the company’s North American expansion, delivering AI-driven solutions to industry clients through enterprise transformation, AI engineering, data and analytics, and digital platforms, with a focus on building capabilities organizations can sustain, not just consume. Throughout his career he has led large-scale digital and AI-enabled transformation initiatives that help organizations modernize operations, accelerate growth, and improve client outcomes. He holds a degree in Finance and Marketing from Morehouse College and completed executive education at NYU.
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