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 Speaker(s): Mark Hornick, 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. Virtual: https://events.vtools.ieee.org/m/483320

I will share here our experiences with our talks with Senators and Congresswomen Congressmen. Today's meeting date will be my 20th Year Anniversary with Oracle, too. we will celebrate together. Bldg: Dunkin, 239 Main Dunstable Rd., NASHUA, New Hampshire, United States, 03062

The rapid advancement of generative AI is transforming how children interact, learn, and socialize. Surveys show that 45% of high school (https://cdt.org/wp-content/uploads/2023/09/FINAL-Off-Task-Report-Slides.pdf) already use OpenAI platforms, such as ChatGPT, to deal with friendship, relationship, and mental health issues. There are many outstanding questions about the impact that these developments will have on children’s development and socialization. As generative AI becomes more readily accessible in schools and at home, researchers worry that younger students may face (https://www.gse.harvard.edu/ideas/edcast/24/10/impact-ai-childrens-development) opportunities for critical social interactions that are essential for the development of emotional intelligence, empathy, and communication skills. In an effort to address some of these questions, the new Brookings Global Taskforce on AI and Education has embarked on a two-year initiative to conduct a “(https://www.brookings.edu/articles/the-world-needs-a-premortem-on-generative-ai-and-its-use-in-education/)” on generative AI in the context of global education. On May 6, the Center for Universal Education will host a conversation led by Isabelle Hau, executive director of the Stanford Accelerator for Learning and author of “Love to Learn.” A panel discussion exploring the impacts of AI in children’s lives will follow, featuring experts in early learning, mental health and technology, and research on AI companions. Viewers can submit questions by emailing events@brookings.edu or on X/Twitter (https://x.com/BrookingsGlobal) using #AIinEducation. Virtual: https://events.vtools.ieee.org/m/482696

This will be an informal discussions of recent AI announcements, and ongoing opportunities/issues with AI. There is interest in forming an AI Local Group (what is this, participation, future events, etc.) If you plan to attend in-person, we need you to register in advance, so we have an accurate count of attendees for pizza. There is no cost to register or attend this event. Agenda: 4:15 PM registration 4:30-4:45 Introductions 4:45-5:45 Informal discussions of recent AI announcements, and ongoing opportunities/issues with AI 5:45 -- AI Local Group considerations (what is this, participation, future events, etc.) 6-7 - Pizza and informal networking, ongoing discussion Room: Classroom, The Baldwin, 50 Woodmont Avenue, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/482213