AI & Business Demystified
08 Jun 2024 – 15 Jun 2024
9:00 am – 4:00 pm
Sasin School of Management
Two modules, held all-day on 2 consecutive Saturdays
Your Personal Development: Be Demystified!
Sasin Demystified Series: AI & Business DemystifiedMake the most out of AI for your business In this course, you will learn the basics of AI and how to create an effective AI strategy for your business. You will learn the core concepts of related technologies: AI, machine learning, deep learning, and data science. You will be able to distinguish between AI hype and reality i.e., how to select and implement feasible AI projects. We will discuss how other companies apply AI to create business value and explore a framework to create an AI strategy in your organization. Throughout the course, you will apply the concepts you learn in class to plan an AI project for your existing business or new business idea. This non-technical course involves optional coding and suits learners with any background. After taking this course, you will:
- Gain a comprehensive understanding of AI fundamentals and terminology.
- Develop and execute AI strategies that drive organizational growth.
- Identify opportunities to implement AI across various business functions.
- Lead your team with confidence in an AI-transformed business landscape.
- Network and collaborate with peers in a dynamic learning environment.
|Dr. Pinnaree Tea-makorn is a faculty member at Sasin School of Management and a founding member of Sasin’s Data Analytics Center. Her expertise is in computational psychology, artificial intelligence, and data science. She is also the Artificial Intelligence Venture Partner at Vectors Capital, an early-stage climate tech venture capital in the San Francisco Bay Area. Prior to joining Sasin, Dr. Pinnaree interned in and provided technical consulting to startups in Silicon Valley and Thailand, such as Qualcomm, Urban Engines, Ajaib, Edsy, etc. She is also the Research Director of Inter Data Recovery Co., Ltd. She received her Ph.D., M.S., and B.S. in electrical engineering from Stanford University.