Prescriptive Analytics With Generative Ai

In the recent era, numerous corporations and public entities are directing substantial resources towards a diverse array of analytical methodologies. Prescriptive Analytics emerges as a critical frontier that transcends the scope of deciphering past occurrences (Descriptive Analytics) and forecasting future events (Predictive Analytics). It delves into the realm of actionable insights, elucidating the optimal sequence of actions for companies and public organizations to bolster their decision-making process. This course will leverage Generative AI to help you comprehensively approach prescriptive analytics, bridging the gap between raw data and informed decision-making strategies. The curriculum seamlessly integrates the two pivotal facets below.

• Data-driven Optimization Theories and Techniques: Central to this module is an exploration of a spectrum of optimization theories and techniques that are underpinned by data-driven methodologies. You will have exposure to optimization paradigms, including linear optimization, discrete optimization, network optimization, quadratic optimization, and stochastic optimization. Incorporating Generative AI within this framework enhances the capacity to generate and refine complex models, providing a more intuitive and automated approach to understanding data patterns and decision processes. You are equipped with the analytical prowess and prompt engineering skills to harness these optimization techniques in diverse scenarios.
• Important Business Applications in Finance, Investments and Operations Management: This course segment will unfurl the tangible impact of prescriptive analytics across domains such as finance, investment, and operations management. The materials will indicate how the methodologies are applied and how the applications are visualized or implemented in real industry, including but not limited to portfolio selection, asset allocation, revenue optimization, pricing strategies, appointment scheduling, retail operations, and project management. The examples will be diversifed from close to your life such as course selection, and study loans to more complex such as portfolio management or monetized arbitrage.

By enrolling in this course, you will embark on a transformative journey where you traverse the intersection of cutting-edge analytics and pragmatic decision-making. Through a blend of comprehensive theoretical exposition and real-world case studies, learners emerge as adept navigators of the intricate landscape of data-driven optimization and its tangible applications, poised to drive innovation and foster informed choices in an increasingly data-driven world. The group project will also act as an additional important part to give you hands-on experience and problem-solving skills on a realistic problem.

The course will also place a specific focus on analyzing real data and solving optimization models relying on Generative AI using Python with commercial solver Gurobi*, further enhanced by the adaptive and innovative capabilities of Generative AI.

* Academic version is free.