Sergio Mastrogiovanni is a scholar-practitioner who builds AI inside the systems enterprises actually run on — ERP, WMS, control towers — and writes about how to govern it. Founder of Socradata. Postdoctoral Researcher at IAE Business School. Adjunct Professor at NYU.
AI lives where ERP, WMS, and control towers already run. The integration is the hard part; the model is the easy part. Production-grade decisioning sits inside operational workflows, not in a parallel dashboard.
Measurement design comes before technology selection. Every engagement starts by naming the operational decision that has to change, the KPI that proves it, and the human who owns the override path.
Pilots that do not name a route to production are theater. The work is to institutionalize — through governance, MLOps, and interoperability — what a proof-of-concept only suggested.
Three roles run concurrently. They are not parallel tracks. Each role feeds the other two — that is the practice.
Operational AI for enterprise systems. Practice areas span predictive inventory and demand, warehouse and logistics intelligence, supply chain risk and visibility, and AI copilots embedded in ERP and WMS workflows. Buenos Aires & New York. LATAM-anchored, US-extended.
Visit Socradata →Universidad Austral, Buenos Aires. Research stream on data-driven urbanism and smart cities — anchored in CABA and the broader Latin American region. Producing chapter drafts, peer-reviewed submissions, and policy-facing memos.
IAE faculty page →NYU School of Professional Studies. Graduate-level teaching at the intersection of intelligent automation, AI, marketing analytics, and digital transformation. Course HCAT1-GC2015. Affiliated researcher, NYU Stern Center for Sustainable Business.
NYU faculty page →Keynotes for executive audiences and academic seminars. Available in English and Spanish. Format adapts to context — 45-minute keynote, 90-minute executive workshop, full-day intensive.
Why most enterprise AI pilots stall — and the operating model that gets the next 24 months out of the slide deck and into the warehouse, the planning system, and the audit trail.
A measurement-first framework for enterprise AI. Why CDO mandates fail when integration is solved before measurement, and how to invert the sequence without slowing delivery.
Forecasting, anomaly detection, and decision support inside ERP and WMS systems. What works at retail, distribution, and manufacturing scale — what doesn't survive contact with the shop floor.
Smart cities without smart governance — what the LATAM evidence shows, where infrastructure-first thinking fails, and how Buenos Aires and the broader region offer a different scaling model.
Executive masterclass on translating analytical work into board-room narrative. Built from the NYU SPS course and refined across multiple LATAM cohorts. Anchored in real enterprise cases.
NYU SPS course HCAT1-GC2015, adapted for executive audiences. Where automation actually substitutes labor, where it augments it, and the workforce-design questions HR is currently underprepared for.
From the NYC Tech Summit at NYU in 2018 to the Asociación Médica Argentina in May 2026. Peer-reviewed conferences (IEOM Singapore · Rabat · Orlando · 2nd World Congress), keynotes at the United Nations Headquarters and the NYU Future Workforce Global Summit in Buenos Aires, broadcast media (Radio Nacional · Vorterix), op-eds (Forbes Argentina · Infobae · BAE Negocios · Ámbito), and academic lectures across English and Spanish in Argentina, the United States, the United Arab Emirates, Singapore, Morocco, and the Global South.
Keynote at the Asociación Médica Argentina (AMA), Buenos Aires. Talk on AI in clinical practice, healthcare governance, and the operational deployment of AI in medical settings. From pilot to policy.
View on LinkedIn →Radio Nacional · Korol en el Aire. Live broadcast interview on AI, blockchain, and the institutional dimension of digital transformation.
Listen on Radio Nacional →First-of-its-kind NYU event in Latin America, in collaboration with IAE Business School. Co-emcee with Anna Tavis, PhD (Chair, NYU SPS Human Capital Management Department). NYU Buenos Aires.
Event page · NYU SPS →Master class on AI agents for engineering students. The title was deliberate: From Engineers to AI Orchestrators: Building Real Agents. The framing is not rhetorical. It captures a structural shift now underway in enterprise software, and it is the same shift that is quietly rewriting the economics and ergonomics of the operating model in companies across every sector.
Article →Featured presentation at the United Nations Headquarters, New York, on the observance of World Cities Day 2025, hosted by the International Federation for Family Development (IFFD). Reframes smart-city design around family well-being and inclusion.
Event page · IFFD →Conference paper presentation at the 2nd IEOM World Congress on Industrial Engineering and Operations Management. Cross-jurisdictional analysis of agentic AI deployments in municipal operations.
IEOM index entry →How digital strategies can help Latin American cities fight inequality, agglomeration, and exclusion? Chapter of the book "Strategy and Leadership for Grand Societal Challenges"
Find it on Amazon →Conference paper presentation at the 10th North American International Conference on Industrial Engineering and Operations Management, Orlando, Florida. Comparative analysis of participatory AI design across China and the United States.
View on ResearchGate →Conference paper presentation at the 6th African International Conference on Industrial Engineering and Operations Management, Rabat, Morocco. Introduces the AI-driven urban transformation framework anchored in Global South contexts.
Program PDF · IEOM Rabat →Conference paper presentation at the 15th International Conference on Industrial Engineering and Operations Management, Singapore. Foundational data-governance framework for the smart-city research stream. Also published in the South Florida Journal of Development.
Proceedings PDF · IEOM Singapore →Featured session at the Tableau Educator Data Camp 2025. Pedagogical framework for teaching data storytelling across disciplines.
Watch on Tableau →1st World Congress 2024 Detroit. Track: Modeling and Simulation.
Paper Abstract →This study explores the transformative potential of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) in fostering sustainable supply chain optimization, focusing on how AI-powered solutions could further enhance efficiency to reduce waste, carbon emissions, or creating more supply chain visibility.
Paper Abstract →This paper assesses how the AI-enabled capability of Natural Language Processing, Large Language Models, and Generative AI endorses a robust research and development data governance framework.
Paper Abstract →International webinar / panel on generative AI and labor transformation.
Watch on YouTube →2nd Australian International Conference on Industrial Engineering and Operations Management.
Paper Abstract →Featured talk for Brotek Technologies.
Watch →International conference. Confidence in a sustainable future. Campus Party Spotlight, Circular Cities. Panel: Diego Fernandez, Secretary of Innovation, City of Buenos Aires. Stefan Junestrad, Scholar and Smart Cities expert. Moderator: Dr. Sergio Mastrogiovanni.
Watch →NYU SPS · HR Magazine / academic conversation with Prof. Anna Tavis (NYU).
Watch →Digital Tech Talks · feature on AI fundamentals.
Watch →Webcast / podcast appearance.
Watch →Featured talk on agile HR in volatile environments.
Watch →Open lecture on smart cities and data-driven urbanism. Buenos Aires.
Watch →Radio La Red · interview as VP Data & Digital Strategy at Nubiral.
Listen →Comunidad RH (Argentina) · speaker on the HR Future agenda.
View agenda →HR Exchange Network · speaker page for the Workforce Transformation event.
View profile →Forbes Argentina column on digital twins and bold leadership.
Read →Hacking HR (Spotify) · podcast episode.
Listen →Mass-media interview on AI fundamentals (Argentina).
Watch →Featured talk.
Watch →ThinkFuture with Kalaboukis · long-form conversation on intelligent automation and sustainability.
Watch →Featured talk.
Watch →Featured talk.
Watch →Instituto Tecnológico de Buenos Aires (ITBA) · open lecture on the Internet of Behavior (IoB).
Watch →Featured talk on AI and sustainability.
Watch →Virtual conference, New York · speaker on the future of the digital workplace.
Watch →Opening lecture of the NYU ReframeWork series. Impact of intelligent automation.
Watch →Continuation of the ReframeWork series at NYU.
Watch →NYU ReframeWork series.
Watch →NYU ReframeWork series.
Watch →Infobae op-ed on the post-pandemic digital transformation agenda.
Read →Podcast appearance (YouTube).
Listen →Podcast appearance on enterprise digital transformation.
Listen →Webinar on intelligent automation in Spanish.
Watch →Speaker session at the Digital Workforce Summit.
Watch →BAE Negocios op-ed on automation and the workforce.
Read →Rocking Innovation podcast / show.
Watch →Ámbito op-ed on Industry 4.0 and digital recovery.
Read →BrainHack Global · NY site participation in the global neurotech hackathon.
Event archive →STARTAD Accelerator (NYU Abu Dhabi) · international startup pitch / accelerator presentation.
Watch →Featured speaker presentation. New York University Tech Summit. New York, NY.
Program PDF →Ongoing graduate-level course at NYU School of Professional Studies.
Course page →Official NYU faculty directory page.
Visit profile →Affiliated researcher at the NYU Stern Center for Sustainable Business.
Center page →Multi-year body of articles on analytics, AI, and digital transformation.
Read archive →Four peer-reviewed papers in 2025 (IEOM / ResearchGate). Two earlier industry articles for IHRIM. Two 2026 works in progress at IAE — one on operational AI institutionalization, one on data-driven urbanism in the Global South.
IAE Business School · in preparation
In progress · IAE Postdoc workstreamEdited volume on smart cities · forthcoming
In progress · IAE Postdoc workstreamIEOM Society · ResearchGate index 392429464
View on ResearchGate →IEOM Society · ResearchGate index 393574084
View on ResearchGate →IEOM Society · ResearchGate index 395866850
View on ResearchGate →IEOM Society · ResearchGate index 394230019
View on ResearchGate →IHRIM · industry article
Read on IHRIM →IHRIM · industry article
Read on IHRIM →Three representative engagements. Real production AI inside enterprise systems — not pilots, not dashboards, not POC theater. Numbers anonymized; methodology cited on request.
Predictive layer on top of legacy ERP. Forecast-error decomposition fed back into category-level safety stock and PO timing. Productionized inside the existing planning workflow.
Picking optimization and labor forecasting layered on the WMS. Anomaly detection on slot misallocations. Decision support — not autonomous action — with explicit human override.
Replaced the legacy moving-average baseline with a hybrid statistical and ML stack. KPI defined first; integration second; model third. Survived three planning cycles unchanged.
For an enterprise initiative inside an operational system, start with a 14-day diagnostic. For a conference, executive briefing, or academic convening, reach out for a speaking or advisory engagement.
For executives evaluating an operational AI initiative inside an ERP, WMS, or supply-chain platform. Two-week engagement, fixed scope, fixed price. Output: a productionization roadmap with named KPIs, governance touchpoints, and a path from pilot to policy.
Keynotes, executive workshops, academic seminars, and policy convenings — in English or Spanish. Available for in-person events in LATAM and the United States, and virtual sessions globally. Topics span the four speaking pillars and the executive masterclasses.