Leveraging AI For Business Success
Course Features
AI: Harnessing its Power for Transformation
Artificial Intelligence and Machine Learning (AI/ML) are widely heralded as the most disruptive technological innovations of the 21st century, rapidly transforming business and society at an unprecedented pace. Today, the ability to harness and leverage the power of AI/ML is a key strategic imperative and an important source of competitive advantage for organizations in all spheres of economic and social activity. How do leaders and managers upskill and gain AI knowledge to be ready for the coming AI era? How do they steer their teams and organizations to take advantage of these innovations?
Developed for managers and leaders who want to understand the capabilities and features of AI/ML, enhance their practical understanding of potential applications, and learn about what it takes for an organization to become “AI-Ready”, this program assumes no prior technical knowledge. It has been designed for leaders from organizations operating in diverse sectors such as finance, healthcare, retail, and manufacturing, and across functions, including product management, research and development, sales, marketing, talent management, and other strategic processes.
The 3-day program is crafted to equip managers and leaders with a working understanding of the evolving AI landscape, different types of AI, including prediction and GenAI models, and their potential impact on business outcomes such as efficiency and revenue. Participants will also learn about the impact of AI on the internal structure and functioning of organizations, including managing and leading, implications for human capital, organizational roles, and teaming. Participants will delve into the key concepts underlying AI, experience its capabilities through simulations, explore a range of successful business applications, and discuss risks and ethical considerations in the design of responsible AI.
This course includes:
Industry-leading faculty
Practical applications
Personalized solutions
Hands-on training
Verbal and visual techniques
Program Details
Develop knowledge about the history and evolution of AI, including an understanding of AI’s capabilities today
Understand the foundational concepts of AI, as well as the different types of AI
Learn about GenAI capabilities through real-world examples
Be able to conceptualize potential applications of AI in their organizations
Understand the impact of AI on the internal functioning of organizations
Gain an understanding of what is needed to adopt and implement AI for organizational transformation, including human capital, culture, and governance
Learn about the risks of AI and the principles of ethical and responsible AI
Target Audience
Managers looking to stay current with the AI revolution
Business professionals responsible for AI initiatives for their organization
Managers responsible for advancing their organization’s transformation initiatives using data, analytics and AI
Functional leaders looking to understand implications of AI on specific business functions and industries
Faculty
Ritu Agarwal, PhD
Ritu Agarwal is the Wm. Polk Carey Distinguished Professor of Information Systems and Health at the Johns Hopkins Carey Business School. She is also the founding co-director of the Center for Digital Health and Artificial Intelligence (CDHAI) Dr. Agarwal is an expert in the strategic use of information technology, digital transformation of healthcare, health analytics, and artificial intelligence applications in health. Prior to joining the Carey School, she was a Distinguished University Professor and the Robert H. Smith Dean’s Chair of Information Systems at the Robert H. Smith School of Business, University of Maryland, College Park. She was also the Founding Director of the Center for Health Information and Decision Systems (CHIDS) at the Smith School. Learn more about Ritu Agarwal, Phd.
Gordon Gao, PhD
Guodong (Gordon) Gao, PhD, MBA, is a professor at the Carey Business School of Johns Hopkins University and co-director of the Center for Digital Health and AI (CDHAI). Before joining Carey, he was the Dean’s Professor of AI in Healthcare, co-director of the Center for Health Information and Decision Systems (CHIDS), and the director of the Health Insights AI Lab, at the University of Maryland, College Park. Dr. Gao’s research interests include Big Data and AI in health care, health IT, and quality transparency. His research has been funded by NSF, NIH and AHRQ. Dr. Gao is a recipient of the NSF CAREER Award.