Expert AMA: Data Before AI - Building Systems AI Can Actually Use
UPDATE: Rescheduled to Tuesday, August 25, noon–1 PM. Same virtual room. Existing registrations remain valid.
Everyone wants to add AI. But before a model, agent, or automation can be useful, the underlying data has to be understandable, structured, and trustworthy.
Join Techlahoma for a live Expert AMA with Zain Khan of Google, Google Developer Group Tulsa lead.
Zain will take practical questions about the work that comes before a reliable AI system: data literacy, data integrity, CRM normalization, source boundaries, data architecture, knowledge systems, automation, and production workflows. He'll also connect those fundamentals to Google developer tools including Gemini, AI Studio, Vertex AI, and Google Cloud, without turning the session into a product demo.
Bring questions such as:
What does "AI-ready data" actually mean?
How do you spot data-integrity problems before they contaminate an AI workflow?
When should you clean and normalize data instead of asking a model to interpret the mess?
How much structure and governance does a small organization really need?
What can Gemini, AI Studio, Vertex AI, and Google Cloud help with, and what can't they fix?
How do you move from spreadsheet or CRM chaos to a system people can trust?
What separates an impressive AI demo from a durable production system?
This is a host-led, member-driven Q&A. We'll begin with questions collected from the Techlahoma community, then open the floor for live questions.
Who should attend: developers, data and AI practitioners, product people, technical founders, nonprofit and small-business operators, students, and anyone trying to turn an AI experiment into a reliable real-world system.
This is a community-led Techlahoma event. Google Developer Groups are independent community groups, and this event is not a Google corporate endorsement.