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Merged
ramonamagadan18 merged 1 commit into from
Jul 23, 2026
Merged

Fixing some small typos. #720

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2 changes: 1 addition & 1 deletion data-fundamentals-dev-rel/introduction/introduction.md
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## About this Workshop

In this lab, we'll interact with a data set from an application named Prism CityOps. It's an application used by the city of Kirkland to monitor and manage city infrastrucuter such as ongoing maintenance, active monitoring via IoT devices, crew dispatch, record keeping, and more.
In this lab, we'll interact with a data set from an application named Prism CityOps. It's an application used by the city of Kirkland to monitor and manage city infrastructure such as ongoing maintenance, active monitoring via IoT devices, crew dispatch, record keeping, and more.

You'll utilize a Jupyter Notebook with real Python code, completing real activities, and using aspects of Unified Model Theory (UMT) to present data in various forms, from JSON documents, to graph traversals with visual of those relationships, and perform AI search via vector data, all within Oracle AI Database.

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4 changes: 2 additions & 2 deletions dev-rel-agent-memory/introduction/introduction.md
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## About this Workshop

In this lab, we'll interact with a data set from an application named Prism CityOps, but we will add new database objects combined with the oracleagentmemory Python driver to enable our AI agent to have a memory lifecycle. Prism CityOps is an application used by the city of Kirkland to monitor and manage city infrastrucuter such as ongoing maintenance, active monitoring via IoT devices, crew dispatch, record keeping, and more. This new capability you'll build will help with more in-depth reporting, more informed alerting, and much more.
In this lab, we'll interact with a data set from an application named Prism CityOps, but we will add new database objects combined with the oracleagentmemory Python driver to enable our AI agent to have a memory lifecycle. Prism CityOps is an application used by the city of Kirkland to monitor and manage city infrastructure such as ongoing maintenance, active monitoring via IoT devices, crew dispatch, record keeping, and more. This new capability you'll build will help with more in-depth reporting, more informed alerting, and much more.

You'll utilize a Jupyter Notebook with real Python code, completing real activities, to build this agent with fully fleshed out agents.

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## Acknowledgements
* **Authors** - Kirk Kirkconnell
* **Last Updated By/Date** - Kirk Kirkconnell, June 2026
* **Last Updated By/Date** - Kirk Kirkconnell, July 2026
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