Teaching Interest
Teaching Interest
Data Science and AI for Leaders
By: Dennis Campbell
Description
Modern business increasingly relies on data science and AI systems for both
operational excellence and strategic advantage. The Data Science and AI for Leaders
(DSAIL) course is designed to equip MBA students with the knowledge, judgment, and
practical experience required to navigate this AI-driven era effectively. With AI powering
decisions across industries and transforming how organizations operate, this course
provides the foundational tools and insights needed to lead in this rapidly evolving
landscape.
operational excellence and strategic advantage. The Data Science and AI for Leaders
(DSAIL) course is designed to equip MBA students with the knowledge, judgment, and
practical experience required to navigate this AI-driven era effectively. With AI powering
decisions across industries and transforming how organizations operate, this course
provides the foundational tools and insights needed to lead in this rapidly evolving
landscape.
DSAIL introduces students to the fundamentals of data science while exploring the
cutting-edge capabilities of generative AI and machine learning. The course combines
theory with practical application, covering topics such as data exploration, inference,
machine learning, scaling AI systems, ethical AI, and governance. Students will gain
hands-on experience with tools like Julius.AI, the DSAIL Tutor Bot, and ChatGPT, which
offer intuitive interfaces for working with large language models and analytics. This
exposure equips students to tackle complex business problems and implement
AI-driven solutions with confidence.
cutting-edge capabilities of generative AI and machine learning. The course combines
theory with practical application, covering topics such as data exploration, inference,
machine learning, scaling AI systems, ethical AI, and governance. Students will gain
hands-on experience with tools like Julius.AI, the DSAIL Tutor Bot, and ChatGPT, which
offer intuitive interfaces for working with large language models and analytics. This
exposure equips students to tackle complex business problems and implement
AI-driven solutions with confidence.