Michael Carducci

Your data is worthless to AI (Without a semantic layer)

Monday, 9:00 AM EST

Gartner just declared the semantic layer a non-negotiable foundation for AI. Most of the industry responded with a blank stare.

This presentation is the answer to that blank stare.

Your AI has a dirty secret: there is no mechanism in its architecture for truth. Only probability. Every response is a hallucination — most just happen to overlap with the facts. The philosophers figured out why 2,500 years ago, and they also gave us the solution. Plato defined knowledge as justified true belief. RAG is our architecture for justification. But there's a problem — your structured data is wholly inaccessible to it, because your JSON is full of magic strings that mean nothing outside the system that generated them.

This presentation shows you how to fix that. Not with a new framework, a bigger model, or an enterprise triple store. With a discipline — the discipline of making meaning explicit. JSON-LD, RDFS, OWL, and Schema.org form a standards stack that has been quietly solving this problem for 30 years. Your AI is already fluent in it. Half the web already speaks it. Google built an empire on it.

You'll leave with a concrete understanding of what the semantic layer actually is, why it matters, and — most importantly — how to start building it this week with the APIs you already have.

Your data isn't worthless. AI just doesn't know what it means yet.

When Code is Cheap, Architecture is Everything

Tuesday, 8:30 AM EST

As code generation becomes increasingly automated, our role as developers and architects is evolving. The challenge ahead isn’t how to get AI to write more code, it’s how to guide it toward coherent, maintainable, and purposeful systems.

In this session, Michael Carducci reframes software architecture for the era of intelligent agents. You’ll learn how architectural constraints, composition, and trade-offs provide the compass for orchestrating AI tools effectively. Using principles from the Tailor-Made Architecture Model, Carducci introduces practical mental models to help you think architecturally, communicate intent clearly to your agents, and prevent automation from accelerating entropy. This talk reveals how the enduring discipline of architecture becomes the key to harnessing AI—not by replacing human creativity, but by amplifying it.

Why AI Acceleration Keeps Slowing You Down

Tuesday, 10:30 AM EST

AI is accelerating software development at an unprecedented pace, but many teams are discovering a frustrating reality: faster coding isn’t translating into faster delivery.

The reason is counterintuitive. When you accelerate one part of a system, you don’t improve the system… you stress it. More code becomes more review, more coordination, more cognitive load, and ultimately, less flow.

This talk connects that modern failure mode to a foundational systems insight from The Goal: local optimization usually degrades overall performance. From there, Michael Carducci shows how to apply the Theory of Constraints to modern software delivery.

Using concrete examples, you’ll see how practices like XP, DevOps, Domain-Driven Design, and Team Topologies act as targeted interventions on specific bottlenecks—and how misapplying them can make things worse.

You’ll leave with a practical mental model for identifying constraints in your system, reasoning about trade-offs, and designing for flow in an AI-accelerated world.

Architecting the Future: Evolving Legacy Systems with the Tailor-Made Architecture Model

Tuesday, 1:00 PM EST

Modernizing legacy systems is often seen as a daunting task, with many teams falling into the trap of rigid rewrites or expensive overhauls that disrupt the business. The Tailor-Made Architecture Model (TMAM) offers a new approach—one that is centered on incremental evolution through design-by-constraint. By using TMAM, architects can guide legacy systems through a flexible, structured modernization process that minimizes risk and aligns with both technical and organizational needs.

In this session, we’ll explore how TMAM facilitates smooth modernization by identifying and addressing architectural constraints without resorting to drastic rewrites. We’ll dive into real-world examples of how legacy systems were evolved incrementally and discuss how TMAM provides a framework for future-proofing your systems. Through its focus on trade-offs, communication, and holistic fit, TMAM ensures that your modernization efforts not only solve today’s problems but also prepare your system for the challenges of tomorrow.

This session is ideal for architects, developers, and technical leads who are tasked with modernizing legacy systems and are looking for a structured, flexible approach that avoids the pitfalls of rigid rewrites. Learn how to evolve your legacy system while keeping it adaptable, scalable, and resilient.

Your data is worthless to AI (Without a semantic layer)

Tuesday, 3:00 PM EST

Gartner just declared the semantic layer a non-negotiable foundation for AI. Most of the industry responded with a blank stare.

This presentation is the answer to that blank stare.

Your AI has a dirty secret: there is no mechanism in its architecture for truth. Only probability. Every response is a hallucination — most just happen to overlap with the facts. The philosophers figured out why 2,500 years ago, and they also gave us the solution. Plato defined knowledge as justified true belief. RAG is our architecture for justification. But there's a problem — your structured data is wholly inaccessible to it, because your JSON is full of magic strings that mean nothing outside the system that generated them.

This presentation shows you how to fix that. Not with a new framework, a bigger model, or an enterprise triple store. With a discipline — the discipline of making meaning explicit. JSON-LD, RDFS, OWL, and Schema.org form a standards stack that has been quietly solving this problem for 30 years. Your AI is already fluent in it. Half the web already speaks it. Google built an empire on it.

You'll leave with a concrete understanding of what the semantic layer actually is, why it matters, and — most importantly — how to start building it this week with the APIs you already have.

Your data isn't worthless. AI just doesn't know what it means yet.

Your data is worthless to AI (Without a semantic layer)

Tuesday, 5:00 PM EST

Gartner just declared the semantic layer a non-negotiable foundation for AI. Most of the industry responded with a blank stare.

This presentation is the answer to that blank stare.

Your AI has a dirty secret: there is no mechanism in its architecture for truth. Only probability. Every response is a hallucination — most just happen to overlap with the facts. The philosophers figured out why 2,500 years ago, and they also gave us the solution. Plato defined knowledge as justified true belief. RAG is our architecture for justification. But there's a problem — your structured data is wholly inaccessible to it, because your JSON is full of magic strings that mean nothing outside the system that generated them.

This presentation shows you how to fix that. Not with a new framework, a bigger model, or an enterprise triple store. With a discipline — the discipline of making meaning explicit. JSON-LD, RDFS, OWL, and Schema.org form a standards stack that has been quietly solving this problem for 30 years. Your AI is already fluent in it. Half the web already speaks it. Google built an empire on it.

You'll leave with a concrete understanding of what the semantic layer actually is, why it matters, and — most importantly — how to start building it this week with the APIs you already have.

Your data isn't worthless. AI just doesn't know what it means yet.

Refactoring REST APIs for the Last Time: Strategies for a Future-Proof Design

Wednesday, 1:30 PM EST

REST APIs often fall into a cycle of constant refactoring and rewrites, leading to wasted time, technical debt, and endless rework. This is especially difficult when you don't control the API clients.

But what if this could be your last major API refactor? In this session, we’ll dive into strategies for designing and refactoring REST APIs with long-term sustainability in mind—ensuring that your next refactor sets you up for the future.

You’ll learn how to design APIs that can adapt to changing business requirements and scale effectively without requiring constant rewrites. We’ll explore principles like extensibility, versioning, and decoupling, all aimed at future-proofing your API while keeping backward compatibility intact. Along the way, we’ll examine real-world examples of incremental API refactoring, where breaking the cycle of endless rewrites is possible.

This session is perfect for API developers, architects, and tech leads who are ready to stop chasing their tails and want to invest in designing APIs that will stand the test of time—so they can focus on building great features instead of constantly rewriting code.

3rd Generation Agentic AI

Wednesday, 5:00 PM EST

AI models are evolving fast, but the systems around them aren’t. Every backend change still breaks your carefully tuned AI client, while on the web, every change to a server doesn’t require you to download a new browser. What if AI worked the same way?

In this talk, Michael Carducci explores the architecture of 3rd Generation Agentic AI, building on the ideas and technologies introduced in Data Architecture for AI. You’ll discover how JSON-LD, Hydra, and semantic integration enable truly evolvable, interoperable AI ecosystems at web scale. Through live demos and real-world examples, Carducci shows how these web-native standards create APIs that describe themselves, adapt to change, and empower agents to discover and interact safely without brittle coupling. The real frontier isn’t smarter models—it’s shared meaning—and that’s an architectural problem worth solving.

Architecture Blindspots, Biases, and Blunders

Thursday, 9:00 AM EST

Architectural decisions are often influenced by blindspots, biases, and unchecked assumptions, which can lead to significant long-term challenges in system design. In this session, we’ll explore how these cognitive traps affect decision-making, leading to architectural blunders that could have been avoided with a more critical, holistic approach.

You’ll learn how common biases—such as confirmation bias and anchoring—can cloud judgment, and how to counteract them through problem-space thinking and reflective feedback loops. We’ll dive into real-world examples of architectural failures caused by biases or narrow thinking, and discuss strategies for expanding your perspective and applying critical thinking to system design.

Whether you’re an architect, developer, or technical lead, this session will provide you with tools to recognize and mitigate the impact of biases and blindspots, helping you make more informed, thoughtful architectural decisions that stand the test of time.

The Art of Being an Architect

Thursday, 11:00 AM EST

The hardest part of software architecture isn’t the technology, it’s the people. Every architecture lives or dies by its ability to influence behavior, build consensus, and turn vision into change. In this session, Michael Carducci explores the real work of being an architect: communicating clearly, guiding decisions, and driving meaningful change in complex organizations. Drawing from decades of experience and the principles behind the Tailor-Made Architecture Model, Carducci shows how to identify where change is needed, package ideas for adoption, and lead with both clarity and empathy.

And while AI may soon help us design systems, it still can’t align humans around them. The enduring art of architecture lies in shaping not just the code, but the culture that makes progress possible. You’ll leave with practical tools to navigate the human side of architecture and a renewed appreciation for why that art still matters.