Mario Noioso
Advisory Solutions Architect at MongoDB · Author of Who Owns Memory Owns the Future · Inventor
Rome, Italy
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Mario Noioso is a Rome-based technology author, solutions architect and inventor. He is an Advisory Solutions Architect at MongoDB, working with public sector and regulated organizations across EMEA on data and AI architecture.
His work focuses on how data and AI systems behave in real production environments, where complexity, governance, legacy, scale and operational constraints shape outcomes more than theory ever does. He has helped teams design data foundations that stay coherent as systems scale, organizations grow and automation becomes pervasive, including national-scale digital public services.
His career spans more than 30 years across IBM, Microsoft and ServiceNow. He began in IBM's development labs, working on mainframe and C/C++ systems, and holds US patents from that period, including one on deploying applications across distributed nodes and one on real-time analysis of live musical performances, which in hindsight reads like an early specification of an agentic AI loop.
He is the author of Who Owns Memory Owns the Future: Power, Knowledge, and Imagination from Fire to Mars, a history of how humanity has stored, controlled and transmitted memory, from oral tradition to databases and AI. He writes on data, AI and technology culture at marionoioso.com and in Towards Data Science, and edits Real-World Architectures, a series of free field guides on production data architectures.
He speaks regularly at industry and academic events, including AWS Public Sector Day, MongoDB.local and the Sapienza University of Rome engineering festival, on AI agent memory, data sovereignty, public sector modernization and the long arc from early computing to agentic systems.
Area of Expertise
Ho dato 5.000 euro a un bot di trading AI: cosa succede quando gli agenti toccano soldi veri
Tutti parlano di agenti AI. Quasi tutti li usano per scrivere email, generare codice o fare demo eleganti. Ma cosa succede quando un agente non deve solo parlare, ma osservare dati reali, prendere decisioni operative e muovere denaro vero?
In questa sessione racconterò la costruzione di un piccolo trading desk autonomo: dati di mercato, strategie quantitative, bot, agenti AI, broker reali, risk engine, log, osservabilità e tanti momenti in cui la tecnologia ti ricorda che “bot → soldi” è un sogno bellissimo, ma la realtà è molto più cattiva.
Non sarà un talk su come diventare ricchi con l’AI.
, sarà una passeggiata tecnicc, concreta e un po’ nerd dentro i limiti, i rischi e le possibilità degli agenti autonomi quando escono dalla chat e iniziano a interagire con i soldi, volevo dire mondo reale :-)
Who Owns the Memory Owns the Future
Data is no longer just an asset: it is becoming the memory of organizations, institutions and societies. As AI systems increasingly depend on that memory, control over data infrastructure becomes a question of power, sovereignty and strategic autonomy. This session explores how data, AI and infrastructure are reshaping who controls knowledge — and ultimately who controls the future.
Sovereign AI Starts with Sovereign Data
There is no meaningful AI sovereignty without control over the data underneath it. This session examines what data sovereignty really means in the age of AI, beyond simple data residency: operational control, portability, jurisdiction, supply-chain dependencies and architectural independence. A practical perspective on what European organizations need to consider when designing sovereign AI platforms.
AI Is Not a Model. It Is a Data Architecture Problem.
Organizations often start their AI journey by choosing a model. That is usually the wrong starting point. Reliable AI depends on data quality, context, governance, search, retrieval, security and the ability to continuously update organizational knowledge. This session explains why the real foundation of enterprise AI is not the model itself, but the data architecture surrounding it.
From Databases to Memory: How Data Infrastructure Shapes AI
Traditional databases were built to store transactions. AI systems need something more: context, relationships, history, unstructured information and continuously evolving knowledge. This session explores the transformation of data platforms from systems of record into systems of organizational memory — and what this shift means for the architecture of modern AI applications.
The Invisible Infrastructure of Power
Power has always depended on infrastructure: roads, energy, telecommunications and financial networks. Today, an increasingly important layer is largely invisible — data platforms, cloud infrastructure, algorithms and AI systems. This session explores how digital infrastructure is becoming a strategic instrument of economic, technological and geopolitical power in the 21st century.
Accelerare l'innovazione nel settore pubblico: come modernizzare le applicazioni con MongoDB Atlas
Session delivered at AWS Public Sector Day 2024 (Salone delle Fontane, Rome, 29 October 2024) on modernizing mission-critical public sector applications with MongoDB Atlas on AWS, for an audience of Italian government and public sector organizations. Slides published by AWS: https://pages.awscloud.com/rs/112-TZM-766/images/2_2%20MongoDB%20AWS%20Public%20Sector%20Roma%20Ottobre%202024%20LEF240323.pdf?version=1
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