Researcher, educator, and founder at the intersection of artificial intelligence, enterprise systems, and operational strategy. Based in New York — working globally, with particular focus on Latin America.
Sergio Mastrogiovanni is a data scientist, researcher, and strategic advisor with over two decades of experience deploying AI and advanced analytics in enterprise environments. He is the founder and CEO of Socradata, an operational AI firm serving enterprises and governments across LATAM and North America.
He holds a PhD in Artificial Intelligence and Sustainable Development from IAE Business School (Universidad Austral, Argentina), an MBA from NYU Stern School of Business, and a Master's in Business Analytics and Business Intelligence from Stevens Institute of Technology. He is an Adjunct Professor at New York University, where he teaches Intelligent Automation.
Sergio's work bridges the gap between data science research and operational deployment — from warehouse management systems and supply chain AI to smart city governance and public sector digital transformation. His signature operating principle: "KPIs before APIs."
IAE Business School, Universidad Austral
NYU Stern School of Business
Stevens Institute of Technology
New York University — Intelligent Automation
Available for keynotes, panel discussions, workshops, and executive seminars in English and Spanish.
Why most enterprise AI initiatives stall between pilot and deployment — and the operating model changes required to reach production at scale.
AI StrategyThe governance framework for enterprise AI: why measurement design must precede deployment, and how to define success before selecting technology.
GovernanceHow AI, demand forecasting, and anomaly detection are transforming logistics, inventory management, and warehouse operations in enterprise environments.
Supply ChainWhat the data actually shows about AI adoption, talent depth, and digital infrastructure in Latin America — and why the Global South is not behind.
LATAMThe missing layer in urban AI: data governance, accountability frameworks, and interoperability requirements for city-scale AI systems.
Smart CitiesThe architecture and governance of natural language AI agents embedded in ERP, WMS, and supply chain platforms — beyond the chatbot.
AI AgentsConferences, executive forums, university programs, and corporate events — in English and Spanish.
AI and the Future of Work · United States
Intelligent Automation (Recurring Faculty Role) · New York
AI in Human Resources Systems · International
Digital Transformation & AI Strategy · Buenos Aires, Argentina
El Nuevo Normal es Digital · Argentina
Data & Digital Strategy · LATAM Region
Innovation & AI in the UAE · Abu Dhabi, United Arab Emirates
Training Machines to Detect: AI in Pharma Operations · New York
Real results from production AI deployments — not proofs of concept, not dashboards. Decision intelligence embedded in operations.
Deployed a predictive inventory AI layer on top of an existing ERP platform, identifying at-risk SKUs 60 days in advance. Prevented $50M+ in annual write-offs within 18 months of production deployment.
Designed and deployed an AI-driven warehouse optimization system integrating picking route optimization, labor forecasting, and real-time anomaly detection — resulting in a 35% measured efficiency gain.
Replaced a rules-based forecasting model in an ERP system with an ML ensemble approach incorporating external signals. Reduced forecast MAPE by 15 percentage points, directly improving working capital.
Engagement details shared under NDA. Contact for full case study briefings.
Most ERP forecasting modules were designed in an era of stable, seasonal demand. Here is the architecture for replacing them without disrupting operations.
The single most common failure mode in enterprise AI is deploying before defining success. Here is the governance framework that prevents it.
Argentina and Brazil have more AI talent per capita than most European countries. The narrative of LATAM as a technology recipient — rather than producer — is outdated.
Available for speaking engagements, consulting projects, executive education, media interviews, and research collaborations — in English and Spanish.