Uploaded July 2026 | Updated September 2026, 2 weeks ago
In this Autonomous AI Database Learning Lounge session, the Oracle Autonomous AI Database, Machine Learning and AI PM and Development teams joined to explain all about the new Oracle Data Science Agent, now generally available for Autonomous AI Database Serverless 26ai. They showed how conversational machine learning helps users profile data, prepare features, train and evaluate models, and generate inference SQL directly inside the database - without moving governed enterprise data out of Autonomous AI Database.In this Autonomous AI Database Learning Lounge session, the Oracle Autonomous AI Database, Machine Learning and AI PM and Development teams joined to explain all about the new Oracle Data Science Agent, now generally available for Autonomous AI Database Serverless 26ai. They showed how conversational machine learning helps users profile data, prepare features, train and evaluate models, and generate inference SQL directly inside the database - without moving governed enterprise data out of Autonomous AI Database.
=== Links from the Session ===
Blog: Oracle Data Science Agent: Conversational Machine Learning in Autonomous AI Database blogs.oracle.com/machinelearning/oracle-data-science-agent-conversational-machine-learning-in-autonomous-ai-database
Documentation: Oracle Data Science Agent User Guide docs.oracle.com/en/database/oracle/machine-learning/data-science-agent/dsaug/dsa.html
Documentation: Oracle Machine Learning docs.oracle.com/en/database/oracle/machine-learning
Documentation: Select AI Agent Framework docs.oracle.com/en-us/iaas/autonomous-database-serverless/index.html
=== Links about Autonomous Database ===
Our Get Started Page is the right place to start: oracle.com/autonomous-database/get-started
Autonomous AI Database Free Container Image: "docker pull container-registry.oracle.com/database/adb-free:latest"
Autonomous AI Database for Developers: docs.oracle.com/en-us/iaas/autonomous-database-serverless/doc/autonomous-database-for-developers.html
All Autonomous AI Database Hands-on Labs: livelabs.oracle.com/adb
ADB LinkedIn Newsletter: bit.ly/li-adb-news
Join our Group on LinkedIn: linkedin.com/groups/13819289
Ask questions by joining our External Slack workspace and search for the 'oracle-autonomous-database' channel: bit.ly/odevrel_slack
== Outline ==
Introducing Oracle Data Science Agent
Conversational machine learning in Autonomous AI Database
Automating the machine learning process
Data discovery, profiling, and feature preparation
In-database model training, evaluation, and comparison
Generating SQL for scoring and inferencing
Governance, traceability, and best practices
== Video highlights ==
00:00 Starting soon countdown
00:20 Welcome and session opening
00:30 Agenda and session topics
01:50 Important links for Autonomous AI Database
02:50 Introducing Oracle Data Science Agent
03:30 Session roadmap
05:20 The need for simplified, automated data science
07:20 Typical data science pain points
08:20 Why traditional data science does not scale
09:20 What is a data science/ML agent?
12:00 Example use cases for data science agents
15:20 Oracle Data Science Agent overview
18:00 Key functionality highlights
19:00 EV fleet predictive maintenance scenario
20:40 Demo: EV Predictive Maintenance in Oracle Data Science Agent
27:50 Get started with Oracle Data Science Agent
30:00 Create an AI profile
32:00 Create a new conversation
34:20 Set AI profile and database service level
35:00 Governance and traceability with Select AI Agent history views
36:40 Prerequisites to use Data Science Agent
38:00 Best practices
39:20 Resources for Oracle Machine Learning and Select AI
40:20 Q&A
46:40 LinkedIn and Slack community links
47:00 Final thoughts, links, upcoming sessions and replays
47:20 Final thanks and closing
In this Autonomous AI Database Learning Lounge session, the Oracle Autonomous AI Database, Machine Learning and AI PM and Development teams joined to explain all about the new Oracle Data Science Agent, now generally available for Autonomous AI Database Serverless 26ai. They showed how conversational machine learning helps users profile data, prepare features, train and evaluate models, and generate inference SQL directly inside the database - without moving governed enterprise data out of Autonomous AI Database.In this Autonomous AI Database Learning Lounge session, the Oracle Autonomous AI Database, Machine Learning and AI PM and Development teams joined to explain all about the new Oracle Data Science Agent, now generally available for Autonomous AI Database Serverless 26ai. They showed how conversational machine learning helps users profile data, prepare features, train and evaluate models, and generate inference SQL directly inside the database - without moving governed enterprise data out of Autonomous AI Database.
=== Links from the Session ===
Blog: Oracle Data Science Agent: Conversational Machine Learning in Autonomous AI Database blogs.oracle.com/machinelearning/oracle-data-science-agent-conversational-machine-learning-in-autonomous-ai-database
Documentation: Oracle Data Science Agent User Guide docs.oracle.com/en/database/oracle/machine-learning/data-science-agent/dsaug/dsa.html
Documentation: Oracle Machine Learning docs.oracle.com/en/database/oracle/machine-learning
Documentation: Select AI Agent Framework docs.oracle.com/en-us/iaas/autonomous-database-serverless/index.html
=== Links about Autonomous Database ===
Our Get Started Page is the right place to start: oracle.com/autonomous-database/get-started
Autonomous AI Database Free Container Image: "docker pull container-registry.oracle.com/database/adb-free:latest"
Autonomous AI Database for Developers: docs.oracle.com/en-us/iaas/autonomous-database-serverless/doc/autonomous-database-for-developers.html
All Autonomous AI Database Hands-on Labs: livelabs.oracle.com/adb
ADB LinkedIn Newsletter: bit.ly/li-adb-news
Join our Group on LinkedIn: linkedin.com/groups/13819289
Ask questions by joining our External Slack workspace and search for the 'oracle-autonomous-database' channel: bit.ly/odevrel_slack
== Outline ==
Introducing Oracle Data Science Agent
Conversational machine learning in Autonomous AI Database
Automating the machine learning process
Data discovery, profiling, and feature preparation
In-database model training, evaluation, and comparison
Generating SQL for scoring and inferencing
Governance, traceability, and best practices
== Video highlights ==
00:00 Starting soon countdown
00:20 Welcome and session opening
00:30 Agenda and session topics
01:50 Important links for Autonomous AI Database
02:50 Introducing Oracle Data Science Agent
03:30 Session roadmap
05:20 The need for simplified, automated data science
07:20 Typical data science pain points
08:20 Why traditional data science does not scale
09:20 What is a data science/ML agent?
12:00 Example use cases for data science agents
15:20 Oracle Data Science Agent overview
18:00 Key functionality highlights
19:00 EV fleet predictive maintenance scenario
20:40 Demo: EV Predictive Maintenance in Oracle Data Science Agent
27:50 Get started with Oracle Data Science Agent
30:00 Create an AI profile
32:00 Create a new conversation
34:20 Set AI profile and database service level
35:00 Governance and traceability with Select AI Agent history views
36:40 Prerequisites to use Data Science Agent
38:00 Best practices
39:20 Resources for Oracle Machine Learning and Select AI
40:20 Q&A
46:40 LinkedIn and Slack community links
47:00 Final thoughts, links, upcoming sessions and replays
47:20 Final thanks and closing
