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AI As A Catalyst For Innovation: Key Trends And Practical Strategies

jmoore Blog, Corporate & Strategic Partnerships, Ethics and Society

AI As A Catalyst For Innovation: Key Trends And Practical Strategies

The DePaul AI Institute has partnered with DePaul’s Office of Corporate and Strategic Partnerships to offer a series of AI webinars for 2025. The next session is taking place in September

Overview:

Artificial Intelligence (AI) has evolved from an emerging technology to a transformative force that is reshaping how we work, learn, and create. From autonomous agents streamlining workflows to generative tools revolutionizing content creation, AI is driving innovation across various sectors, including industries, scientific research, education, and the creative arts. This webinar will delve into some of the most impactful recent trends in AI adoption, such as the rise of agentic AI. By examining real-world case studies, we will explore how businesses and organizations are leveraging AI to boost productivity and drive value. The session will also offer practical strategies for integrating AI into workflows, highlight common pitfalls to avoid, and provide guidance on ethical considerations and responsible innovation. Join us to learn how to turn today’s AI breakthroughs into tomorrow’s competitive advantage.

About the Presenter:

Dr. Bamshad Mobasher is a professor of Computer Science and the director of the Center for Web Intelligence at DePaul University College of Computing and Digital Media in Chicago. He is also director of the DePaul AI Institute, an interdisciplinary institute with a focus on the applications and ethical implication of AI technologies. He received his Ph.D. in Computer Science at Iowa State University in 1994. His general research areas include artificial intelligence and machine learning. In particular, he is considered one of the leading authorities in algorithmic personalization and recommender systems. He has published 5 books and over 300 scientific articles on topics related to the applications of AI and machine learning in user modeling, automatic personalization, and recommender systems. As the director of the Center for Web Intelligence, he directs research in these areas and regularly works with the industry on various joint projects.