About the topic:
Generative AI refers to using artificial intelligence algorithms to create new content, such as images, videos, text, or music, similar to human-generated content. It is a subset of machine learning that focuses on generating creative and original outputs. Generative AI models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), are trained on vast amounts of data and learn to generate new samples that possess similar patterns and characteristics as the training data.
We will talk about the relationship between generative AI and decision-making and leadership under the below categories:
About Professor Zeki Pagda
Zeki teaches graduate and undergraduate level courses by combining his 25 years of practical business experience with research and theory, including Management, Leadership, Organizational Behavior, Human Resource Management, and International Business.
Zeki has work experience in multinational corporate organizations worldwide, including the USA, Germany, China, Egypt, and Turkey. The organizations Zeki worked for include Unilever, Kimberly & Clark, Advanced Micro Devices (AMD), Henkel, Carl Kuhne, and Nestle. Zeki worked in several departments such as Sales & Marketing, Supply Chain and was an Executive Officer for the last six years of his corporate career. Zeki has also involved in several enterprise-level information technology implementations during his tenure in corporations.
Furthermore, Zeki is a co-founder of a consulting company. His consulting focus is Digital Transformation, Artificial Intelligence, and Machine Learning methodologies that, he thinks, will play a significant role in any decision-making process in the future.
July 19, 2023, 7:00 p.m.
Join Prof. Pagda as we talk about the relationship between generative AI and decision-making and leadership in Creative Decision Making, Scenario Planning, Personalized User Experiences, Creative Content Generation and Ethical Considerations.
Price
Admission is free. No. of seats is limited. Reservation on a first-come-first-served basis.
