Uploaded July 2026 | Updated September 2026, 2 weeks ago
In this video, we explore Oracle AI Data Platform (AIDP), a unified environment for governed data engineering, analytics, data science, and agentic AI. The walkthrough introduces the platform architecture and
its enterprise lakehouse foundation.
Using a fictional airline scenario, the demo moves from raw data through Bronze, Silver, and Gold layers in an AIDP notebook. It then analyzes delay and customer-review data, including generative AI-assisted sentiment analysis and an analytics workbook.
The final section builds, deploys, and tests an AI agent that can answer airline operations questions, then shows the agent in a lightweight custom chat application.
Chapters
0:00 - Oracle AI Data Platform Product Overview
2:05 - Platform Architecture and Enterprise Lakehouse Foundation
3:45 - Agent Workflow Design and Risk-Assessment Example
6:30 - AIDP LiveLabs Reference Architecture
8:40 - Airline Notebook: Bronze, Silver, and Gold Data Preparation
16:00 - Airline Analytics, Sentiment Analysis, and Workbook
18:30 - Build, Deploy, and Test the Airline AI Agent
22:00 - Custom Chat Application and Agent Responses
Additional Information
This recording uses a fictional airline data set to demonstrate an end-to-end AIDP workflow: governed lakehouse layers, analytics, generative AI-assisted sentiment analysis, and an agentic user experience.
The demonstration highlights Oracle AI Data Platform workspaces, notebooks, data catalog capabilities, analytics workbooks, agent flows, and deployment details.
Associated LiveLab: livelabs.oracle.com/ords/r/dbpm/livelabs/run-workshop?p210_wid=4278&p210_wec=&clear=210&session=17769363552695
Like this video? Check out our playlist: youtube.com/playlist?list=PLPIzp-E1msrZMCfSHbKgLK3KWsNM9JB9a&si=jLmQeUwKEDXmw2Hj
#oracle #oci #aidp #ai #datalakehouse #analytics #agenticai #autonomousdatabase
In this video, we explore Oracle AI Data Platform (AIDP), a unified environment for governed data engineering, analytics, data science, and agentic AI. The walkthrough introduces the platform architecture and
its enterprise lakehouse foundation.
Using a fictional airline scenario, the demo moves from raw data through Bronze, Silver, and Gold layers in an AIDP notebook. It then analyzes delay and customer-review data, including generative AI-assisted sentiment analysis and an analytics workbook.
The final section builds, deploys, and tests an AI agent that can answer airline operations questions, then shows the agent in a lightweight custom chat application.
Chapters
0:00 - Oracle AI Data Platform Product Overview
2:05 - Platform Architecture and Enterprise Lakehouse Foundation
3:45 - Agent Workflow Design and Risk-Assessment Example
6:30 - AIDP LiveLabs Reference Architecture
8:40 - Airline Notebook: Bronze, Silver, and Gold Data Preparation
16:00 - Airline Analytics, Sentiment Analysis, and Workbook
18:30 - Build, Deploy, and Test the Airline AI Agent
22:00 - Custom Chat Application and Agent Responses
Additional Information
This recording uses a fictional airline data set to demonstrate an end-to-end AIDP workflow: governed lakehouse layers, analytics, generative AI-assisted sentiment analysis, and an agentic user experience.
The demonstration highlights Oracle AI Data Platform workspaces, notebooks, data catalog capabilities, analytics workbooks, agent flows, and deployment details.
Associated LiveLab: livelabs.oracle.com/ords/r/dbpm/livelabs/run-workshop?p210_wid=4278&p210_wec=&clear=210&session=17769363552695
Like this video? Check out our playlist: youtube.com/playlist?list=PLPIzp-E1msrZMCfSHbKgLK3KWsNM9JB9a&si=jLmQeUwKEDXmw2Hj
#oracle #oci #aidp #ai #datalakehouse #analytics #agenticai #autonomousdatabase
