Líderes de sectores empresariales, tecnológicos y académicos se reunieron en la Universidad de los Andes para discutir posibles soluciones a...
This course combines data science and AI to equip students with skills to identify market opportunities, drive disruption, and create sustainable business ventures. Through hands-on experience with datasets and AI tools, students will learn to spot market gaps, forecast trends, and design scalable AI-enhanced products and services. Students will explore case studies and develop projects incorporating data-backed business models and AI-driven products, emphasizing ethics, scalability, and societal impact. Projects will assess how AI and data science can foster responsible growth, enhance resilience, and drive industry-wide transformation. Students will focus on sustainability, aligning with UN SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). The course introduces data science and AI concepts through entrepreneurship and innovation. No prior technical experience is necessary—just an interest in learning.
Bryan Boots Is an Associate Professor at the Henry W. Bloch School of Management and Managing Director of the Regnier Institute for Entrepreneurship & Innovation at the University of Missouri-Kansas City (UMKC). Dr. Boots holds a PhD in Systems Engineering from Colorado State University (2022), an MS in Engineering from the University of Arkansas (2020), and an MBA in Entrepreneurship and Finance from UMKC (2014). He teaches courses on business analytics, information systems, technology entrepreneurship, and management. His research focuses on computational social science, applied network science, and online platforms. He leads a grant-funded project developing open-source tools to enhance informational diversity in social media feeds. Dr. Boots has worked for large tech corporations (Garmin), startups (Ainstein.ai), and consulted on machine learning (computer vision) for global organizations. In 2024, as a Fulbright Scholar in Chile, he developed machine learning models to predict demand for premium Chilean wines and taught business analytics at Universidad Adolfo Ibáñez.
Calle 21 No. 1-20
Bogotá – Colombia
Código postal: 111711
Bogotá
(601) 332 4144
Línea de información nacional
018000 123 300
Calle 21 No. 1-20
Bogotá – Colombia
Código postal: 111711
Bogotá
(57 601) 332 4144
Línea nacional
01800 123 300
Universidad de los Andes | Vigilada Mineducación
Reconocimiento como Universidad: Decreto 1297 del 30 de mayo de 1964.
Reconocimiento personería jurídica: Resolución 28 del 23 de febrero de 1949 Minjusticia.
Universidad de los Andes | Vigilada Mineducación
Reconocimiento como Universidad:
Decreto 1297 del 30 de mayo de 1964.
Reconocimiento personería jurídica:
Resolución 28 del 23 de febrero de 1949 Minjusticia.
© – Derechos Reservados Universidad de los Andes