🌟 The Countdown Begins: Exploring the Frontiers of AI, ML, and NLP in Institutional Research 🌟

by Michael

I’m really looking forward to our upcoming webinar on “Navigating Machine Learning and Generative AI: A Practical Approach for IR/IE Professionals” which I’ll be co-hosting with my colleague, Jason Simon, Ph.D. This is such an important and fascinating topic that stands to transform the work of information retrieval and information extraction professionals. Join us next week for a webinar that promises to be both informative and transformative.

Webinar Highlights:

💡Insightful Overviews: Grasp the essence of AI, ML, and NLP technologies and their groundbreaking applications in our field.

💡Real-World Applications: Discover how these technologies are revolutionizing institutional research and effectiveness through practical examples.

💡Strategic Integration: Learn the best practices for seamlessly integrating AI, ML, and NLP into your workflows, enhancing both efficiency and decision-making processes.

💡Ethical Frameworks: Delve into the ethical considerations crucial for responsible adoption, ensuring our advancements align with the aspirational goals of AIR.

Your Takeaways:

Prepare to leave this session with a solid foundation in AI, ML, and NLP, equipped with the knowledge to navigate the benefits and challenges of these technologies in institutional research. More importantly, you’ll gain insights into ethical adoption practices that respect and protect our students and institutions.

🔗 Reserve Your Spot Now: https://lnkd.in/g2dWVNCv

#AI #MachineLearning #NaturalLanguageProcessing #HigherEducation #InstitutionalResearch #EducationalEffectiveness #Webinar #DataInformedDecisions

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Dr. Mike Urmeneta is an award-winning researcher, educator, data scientist, and storyteller with a passion for helping institutions improve and succeed through agile and collaborative approaches to research and analysis. He has extensive experience working with universities and has been recognized for his work by leading organizations such as the Association for Institutional Research, the National Association of College and University Business Officers, and EDUCAUSE. His diverse background and ability to build strong relationships with a variety of stakeholders have allowed him to make a significant impact on institutional policies, procedures, and priorities. Most recently, as an instructor for AIR’s Data Literacy Institute, he has been preparing leadership teams to embrace a culture of data-informed decision-making. Prior to this role, he served as the director of analytics and business intelligence for the New York Institute of Technology, providing strategic guidance to various departments, the president’s office, and the board of trustees. Dr. Urmeneta has also held various administrative roles at New York University, including in admissions, financial aid, enrollment and retention, alumni relations, and development. He holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Management from NYU, and a Doctor of Education degree from Northeastern University, where he received the Dean’s Medal for Outstanding Doctoral Work for his research on first-generation college students.