Data and Investments
🎯 The Problem
Investment firms have 50x more data than a decade ago, but struggle to organize it effectively.
Three experts who've built billion dollar platforms reveal why, and what actually works
🔥 Your Expert Panel
Gary Maier - Creator of BlackRock's Aladdin Platform
Built the world's most successful investment platform ($1.5B+ annual revenue) from a "side hustle" his boss told him not to pursue. Now developing a novel agentic AI orchestration platform, and now helping financial services companies use data and AI to drive actionable, impactful outcomes.
Gary Wong - AI/ML Expert & Former Head of Trading
PhD physicist turned quantitative finance expert and fintech founder. Former head of trading/managing director at global bank, reporting directly to CEO and board. Deep expertise in AI/ML applications and transforming trading/risk technologies.
Taimur Sajid - Data Science & Risk Analytics Expert
Former Blackstone & JP Morgan quant who's closed $500M+ in credit facilities. Knows exactly how data scientists accidentally cost firms millions through subtle biases.
🚀 What You'll Learn
Why 90% of firms get data architecture wrong from day one
Why most AI trading algorithms fail predictably
How data scientists accidentally reinforce wrong investment decisions
Centralized vs Federated data strategies: What actually works
🎯 Perfect For
Investment professionals, FinTech leaders, data scientists in financial services, risk managers, and technology leaders at asset management firms seeking competitive advantages through better data utilization.
🔥 Why This Is Different
Panelists are practitioners who built the world's most successful investment platform, managed billions in quant strategies, and implemented data science across major institutions.
Limited seats
Questions? diana@strategicfactor.com