Michael Carducci

Whether you want to effect culture change in your organization, lead the transition toward a new technology, or simply get more out of your team; you must first understand that having a “good idea” is simply the beginning. An idea must be communicated; a case must be made. Communicating that case well is as important, if not more so, than the strength of the idea itself.

You will learn 6 principles to make an optimal case and dramatically increase the odds that the other person will say “Yes” to your requests and suggestions, along with several strategies to build consensus within your teams. As a professional mentalist, Michael has been a student of psychology, human behavior and the principles of influence for nearly two decades. There are universal principles of influence that are necessary to both understand and leverage if you want to be more effective leader of change in your organization.

In tech teams it's a constant firefight. We react. Then we react to the reaction… the cycle continues. In all this noise, in all this chaos, how do we move forward. How do we remain proactive?

A great leader must be an enabler for the team. At times this means insulating the team from the noise. At other times it means improving the environment for the team. At all times, however, it requires setting clear priorities and conditions for success.

This session is focused on the art of moving forward in even the noisiest environments.

If everyone agrees with you, you’re probably not innovating, you’re just conforming faster. History’s breakthroughs rarely came from consensus; they came from heretics, hackers, and the hopelessly curious. In this talk, Michael Carducci takes aim at the myth of collective wisdom and explores why the crowd is almost always optimized for the past. Through stories of misfits who changed the world—from computing pioneers to magicians who reinvented wonder; Carducci reveals the hidden patterns of real innovation: discomfort, doubt, and persistence in the face of polite disbelief.

You’ll learn how to recognize the subtle forces that suppress new ideas, how to trust your intuition when it runs counter to consensus, and how to cultivate the curiosity and courage that real innovation demands. This is a talk for the misfits, the tinkerers, and the quietly visionary… because progress has always started at the edges.

Great leaders inspire, excite, and empower those in their teams. These leaders help create a team that is more than the sum of it's parts; in short, a great leader can be a force multiplier for the team.

But what makes these force multipliers? Is it simply raw talent? Charisma? How are these leaders different from the bad leaders who become bottlenecks and roadblocks?

In this session, we explore the answer to that question and identify the skills and principles that create force multipliers. Put these skills into action and you can be one too!

Software projects can be difficult to manage. Managing teams of developers can be even difficult. We've created countless processes, methodologies, and practices but the underlying problems remain the same.

This session is full of practical tips and tricks to deal with the reallife situations any tech leader regularly encounters. Put these techniques into practice and create an enviable culture and an outstanding development team. At the same time, you'll avoid common management mistakes and pitfalls.

We are knowledge workers and ultimately, we must own our growth and learning. Personal Knowledge Management is a process of collecting information that one uses to gather, classify, store, search, retrieve and share knowledge in their daily activities and the way in which these processes support work activities.

Despite taking notes, bookmarking web content, and highlighting passages in books; often we struggle to recall or rediscover these many insights we pick up daily in our work and life. This session introduces a tool and some process recommendations to never again lose discoveries and knowledge resources.

Michael shares the tools and workflow he (and many on the NFJS tour) use to write, organize and share your thoughts, keep your todo list, and build your own digital garden. These approaches naturally connects what you know the same way your brain does, and makes it easier to make everything you learn actionable and always at your fingertips.

You'll learn the basics, tips and tricks, and recommendations of these tools and practices; and leave armed to deploy these right away as you continue learning at the conference!

Being a tech leader means balancing vision, strategy, and innovation—yet too often, the administrative burden of the role becomes a persistent obstacle, especially for those who found themselves thrust into leadership accidentally or reluctantly. If you're a technical expert navigating the transition into leadership, it's easy to feel overwhelmed by information overload, endless meetings, follow-ups, and scattered responsibilities.

In this practical, immediately applicable full day workshop, Michael introduces the Digital Knowledge Management (DKM) Tech Leader Toolbox—a proven approach to taming the chaos and reclaiming your clarity, productivity, and sanity. Leveraging Tiago Forte's “Building a Second Brain” methodology combined with powerful tools like Logseq, you'll learn structured workflows to capture, organize, distill, and effortlessly retrieve critical information exactly when you need it.

You'll discover how to streamline meeting notes, simplify administrative tasks, track decisions and outcomes, hold your self and your team accountable, and build your personal leadership knowledge base. With these tools and techniques, you'll not only master the administrative aspects of your role but transform them into a powerful advantage. Join us and take control of your leadership journey today!

Statistically speaking, you are most probably an innovator. Innovators actively seek out new ideas, technologies, and mental models by reading books, interacting with a broader social circle, and attending conferences. While you may leave this conference with the seed of an idea that has the potential to transform your teams, products, and organization; the battle has only begun. While, as a potential changeagent, you are ideally positioned to conceive of the powerful new ideas, you may be powerless to drive the change that leads to adoption. Your success requires the innovation to diffuse outward and become adopted. This is the art of Innovation.

Fortunately there has been over a century of study on the topic of how innovations go from novel idea to mainstream adoption. The art of innovation is difficult, but tractable and this session illuminates the path. You will get to the heart of why some innovations succeed while others fail as well as how to tip the scales in your favor. You'll leave armed with the tools to become a powerful change agent in your career and life and, ultimately, become a more powerful and influential person.

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. Be introduced to 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 empower teams 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.

On the NFJS tour, there are questions that seem to come up again and again. One common example is “How do we determine which new tools and technologies we should focus our energy on learning?” another is “How do we stop management from forcing us to cut corners on every release so we can create better and more maintainable code?” which, after awhile becomes “How can we best convince management we need to rewrite the business application?”

There is a single metaanswer to all these questions and many others.

It begins with the understanding that what we as engineers value, and what the business values are often very different (even if the ultimate goals are the same) By being able to understand these different perspectives it's possible to begin to frame our arguments around the needs and the wants of the business. This alone will make any engineer significantly more effective.

This session picks up from where “Stop writing code and start solving problems” stops discussing what is value, how do we align the values of the business with the needs and values of the engineer.

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.