Advanced AI Productivity
Course Features
Advanced AI for productivity and value creation
Since the release of ChatGPT in 2022, Generative AI (GenAI) has taken the world by storm, transforming both corporate and individual work processes and offering the promise of increased productivity, efficiency and quality. Estimates suggest that by 2026, over 80% of organizations worldwide will be using GenAI across a range of functions and tasks.
Considering the explosive growth and rapid adoption, there is a critical need for organizational leaders and individual knowledge workers to gain knowledge and skills about how best to incorporate a variety of available tools into their workflows and how to effectively leverage their powerful capabilities. There are also widespread concerns related to data privacy and the safety and security of these tools when utilized for personal productivity and organizational work.
This 3-day program is designed to help leaders and knowledge workers understand the core foundations of GenAI, its evolution, and how it can be utilized for personal and corporate applications. In addition to engaging in extensive hands-on activity ranging from basic to advanced use of these tools, participants will learn about industry use-cases and applications that have demonstrated value and return on investment. The risks associated with the use of GenAI together with mitigation strategies and guardrails will be presented.
This course includes:
Industry-leading faculty
Practical applications
Personalized solutions
Hands-on training
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
Wm. Polk Carey Distinguished Professor, Johns Hopkins Carey Business School
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
Professor, Johns Hopkins Carey Business School
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.