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Wed, April 28Data & Intelligent SystemsAI-Native Software
In 1978, data modeller Bill Kent observed that what we call data does not, and cannot, fully describe reality. It captures the state our software needs to remember, yet we often treat that representation as though it were the thing itself. The technology has changed from tables to documents, graphs, and vectors, but the underlying modelling problem remains.
For decades, people have filled the gap between what our records contain and what those records actually mean. Meaning lived in human heads, with code and queries compensating for what the model could not express. AI changes that arrangement. We are increasingly asking machines to reason over data without the human context that previously made sense of it, exposing the distance between what our records say and what they represent.
In this session, you will explore what Kent identified, why the problem has become more consequential in the age of AI, and how to think about modelling the world without allowing the constraints of storage to determine how reality is represented.
What You Will Learn
Why a data model is a representation of reality rather than reality itself
How storage technologies can shape what we choose to represent in our data
Why AI exposes gaps between stored data and the meaning previously supplied by people
How to reconsider data modelling when storage is no longer the starting point
Who Should Attend
Data Architects, Software Architects, Data Engineers, Software Developers, AI Engineers, and technical practitioners responsible for modelling data or building systems that reason over it.
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Michael Carducci is a seasoned IT professional with over 25 years of experience, an author, and an internationally recognized speaker, blending expertise in software architecture with the artistry of magic and mentalism. His upcoming book, "Mastering Software Architecture," reflects his deep understanding of the multifaceted challenges of building resilient, effective software systems and high-performing teams. Michael's career spans roles from individual contributor to CTO, with a particular focus on strategic architecture and holistic transformation.
As a magician and mentalist, Michael has captivated audiences in dozens of countries, applying the same creativity and problem-solving skills that define his technology career. He excels in transforming complex technical concepts into engaging narratives, making him a sought-after speaker and emcee for tech events worldwide.
In his consulting work, Michael adopts a holistic approach to software architecture, ensuring alignment with business strategy and operational realities. He empowers teams, bridges tactical and strategic objectives, and guides organizations through transformative changes, always aiming to create sustainable, adaptable solutions.
Michael's unique blend of technical acumen and performative talent makes him an unparalleled force in both the tech and entertainment industries, driven by a passion for continuous learning and a commitment to excellence.
