Speaking on data engineering, modeling, and AI
I speak at leading data and AI events around the world, helping practitioners and leaders understand what's changing, which fundamentals still matter, and where to focus next.
My perspective comes from building systems, writing Mixed Model Arts and co-authoring Fundamentals of Data Engineering, and teaching data engineering with DeepLearning.AI.
Request a speaking engagement →Speaking topics
Data engineering in the age of AI
What changes when agents and AI systems become consumers of data? Explore the shift from moving data to preserving meaning, choosing useful architectures, and designing for systems that take action.
Mixed Model Arts
Connect modeling approaches across applications, analytics, ML/AI, and knowledge systems. Learn why a single school of modeling rarely covers every problem, and how to choose techniques for the job in front of you.
Making data useful
Work through the questions technology alone cannot settle: what the data means, who trusts it, and how technical choices relate to business decisions. Understand why organizational context matters as much as the stack.
Who these talks are for
Conference audiences, engineering and architecture teams, and data and business leaders looking for a practical perspective on data and AI.
Use your request to describe the audience's experience and the decisions they face. That context helps shape the discussion around what matters to them.
Around the world
I've spoken at events including GITEX, LEAP, Big Data LDN, Data Innovation Summit, and countless others around the world.
My work spans data engineering, architecture, modeling, and AI, with books, courses, and writing that connect those disciplines. Explore my books and teaching.
Request a talk
Tell me about your event, audience, preferred topic, dates, and location. Include what you want people to understand or do differently afterward.
Submit a speaking request →Looking for a session where your team works through its own data challenges? Explore workshops.