This Thursday: AnD TechCast | Data & Model Monitoring in Machine Learning: The Step Not To Skip (AI Talks with Coffee/Tea #19)

#application #machine-learning #computer #engineering #society #AI #WIE #software
Share

https://us02web.zoom.us/webinar/register/4017283227834/WN_u_aGl58mS5C-qsWlUj0gQg#/registration

Please register in above link and here, too. We appreciate that for the visibility of our talks.

Often, the final step in the machine learning solution deployment step goes unfinished: monitoring. Data monitoring helps ensure data integrity for your applications and dashboards by identifying data drift and gaining insight into data changes. Model monitoring helps identify changes in model accuracy which can result from, e.g., changes in customer behavior as well as upstream data quality.

 

In this session, you'll learn how to detect issues early and take corrective action before these issues have a significant impact, explore the monitoring problem, where it fits in the ML process, and how to use no-code data and model monitoring user interfaces in Autonomous Database. Join us to learn about this key MLOps topic along with demonstrations.

 

Presenter:

 

Mark Hornick, Senior Director, Oracle Machine Learning and AI Product Management

 

Date: Thursday, May 1, 2025 | 9:00am Pacific / 12:00pm Eastern

 


  Date and Time

  Location

  Hosts

  Registration


  • Date: 01 May 2025
  • Time: 04:00 PM UTC to 05:00 PM UTC
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Hosts
  • Starts 29 April 2025 04:00 AM UTC
  • Ends 01 May 2025 07:00 PM UTC
  • No Admission Charge

  Speakers

Mark Hornick of Oracle America Inc

Topic:

Data and Model Monitoring: The Step Not To Skip In ML Solution Deployment

Often, the final step in the machine learning solution deployment step goes unfinished: monitoring. Data monitoring helps ensure data integrity for your applications and dashboards by identifying data drift and gaining insight into data changes. Model monitoring helps identify changes in model accuracy which can result from, e.g., changes in customer behavior as well as upstream data quality.

 

In this session, you'll learn how to detect issues early and take corrective action before these issues have a significant impact, explore the monitoring problem, where it fits in the ML process, and how to use no-code data and model monitoring user interfaces in Autonomous Database. Join us to learn about this key MLOps topic along with demonstrations.

 

Presenter:

 

Mark Hornick, Senior Director, Oracle Machine Learning and AI Product Management

 

Date: Thursday, May 1, 2025 | 9:00am Pacific / 12:00pm Eastern

Address:New Hampshire, United States




Agenda

https://us02web.zoom.us/webinar/register/4017283227834/WN_u_aGl58mS5C-qsWlUj0gQg#/registration

Please register in above link and here, too. We appreciate that for the visibility of our talks.


https://us02web.zoom.us/webinar/register/4017283227834/WN_u_aGl58mS5C-qsWlUj0gQg#/registration

Please register in above link and here, too. We appreciate that for the visibility of our talks.