From 827a98c70834ba98d0064beb089352cc2b5ebced Mon Sep 17 00:00:00 2001 From: Kirk Kirkconnell <2966377+NoSQLKnowHow@users.noreply.github.com> Date: Thu, 23 Jul 2026 09:28:01 -0400 Subject: [PATCH] Fixing some small typos. --- data-fundamentals-dev-rel/introduction/introduction.md | 2 +- dev-rel-agent-memory/introduction/introduction.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/data-fundamentals-dev-rel/introduction/introduction.md b/data-fundamentals-dev-rel/introduction/introduction.md index 864898f52..b55c7cd88 100644 --- a/data-fundamentals-dev-rel/introduction/introduction.md +++ b/data-fundamentals-dev-rel/introduction/introduction.md @@ -2,7 +2,7 @@ ## 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. diff --git a/dev-rel-agent-memory/introduction/introduction.md b/dev-rel-agent-memory/introduction/introduction.md index e7b2d9f63..3567d6b5e 100644 --- a/dev-rel-agent-memory/introduction/introduction.md +++ b/dev-rel-agent-memory/introduction/introduction.md @@ -2,7 +2,7 @@ ## 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. @@ -70,4 +70,4 @@ This lab assumes you have: ## Acknowledgements * **Authors** - Kirk Kirkconnell -* **Last Updated By/Date** - Kirk Kirkconnell, June 2026 +* **Last Updated By/Date** - Kirk Kirkconnell, July 2026