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Databricks: Build a Practical Data Foundation for AI

Event artwork for Databricks: Build a Practical Data Foundation for AI

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About this event

What to expect

Build a practical data foundation for reliable AI apps, agents, dashboards and automations in this live online Mojo AI Studio class on 22 August 2026.

Rather than focusing on enterprise jargon or asking attendees to memorise a particular platform, this session explores Data Bricks: small, reusable data components that can serve as building materials across multiple AI products and business workflows. Host Scott S. will show how thoughtful data preparation can turn scattered information into resources that downstream AI systems can use more reliably.

What the session covers

The class follows the journey from raw, disconnected data to structured components that can be reused across projects. Topics include:

  • Deciding what information an AI product or workflow should collect
  • Structuring data so it remains useful beyond one immediate task
  • Cleaning source material before it reaches an AI system
  • Preserving the context that gives individual data points meaning
  • Preparing reusable inputs for AI apps, agents and dashboards
  • Supporting low-code automations and wider business workflows
  • Understanding why data must be shaped carefully before AI products can become dependable

The emphasis is on practical architecture rather than abstract theory. Attendees will learn a way of thinking about data as modular building material,something that can be organised once and then applied across different interfaces, automations and applications.

Who should attend?

This online class is designed for AI builders who want a clearer, more practical approach to data architecture without “enterprise fog”. It should be relevant to people creating artificial intelligence applications, experimenting with agents, developing low-code systems, building dashboards or connecting automated business processes.

No specific prerequisite or experience level is listed. The conceptual focus makes the session useful for builders who need to understand how information should be collected and prepared, as well as those already working on AI products and looking for a more reusable foundation.

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