Artificial intelligence (AI) tools play a critical role in democratizing data and improving decision-making processes in the dynamic field of business analytics.
This talk shows how advanced statistical techniques and AI are not only increasing productivity, but also enabling decision-makers to access top-tier data science. A case study in the marketing area that compares AI technology to conventional econometric and statistical methods for marketing mix modeling will be a major area of emphasis.
These technologies can provide business executives with the tools they need to understand complex market dynamics and promote a more strategic and knowledgeable approach to company growth. We will showcase the significant contributions of data democratization through real-world applications that maximize the return on investment in marketing budget allocation.
María Teresa Ballestar, an associate professor at Universidad Rey Juan Carlos in Madrid (Spain), has over 25 years of experience in data analysis and leadership across diverse sectors. She has led data science teams in IT consultancy, banking, pharmaceuticals, and Big Tech. Her professional background includes significant roles at companies like Cetelem, ING, Merck Sharp & Dohme, and Google.
Her research effectively bridges academia and practical business applications, focusing on the impact of data science on e-commerce, public policy, and digital transformation. She holds a B.A. in Statistics, an M.Sc. in Marketing & Market Research, an M.A. in Information and Knowledge Society, and a Ph.D. in Applied Economics.
The advent of the Internet, exponential growth in computing power, and rapid developments in artificial intelligence have raised numerous cybersecurity-related ethical problems in various domains. For instance, there is the threat to liberal democracy posed by the tsunami of disinformation and computational propaganda. A key element of the response to this latter threat is, I argue, the identification of collective moral responsibilities to combat this threat and the institutional embedding of these collective moral responsibilities in the form, for instance, of various interrelated institutional agencies, roles and processes e.g., in the news media, universities, social media companies and other ‘epistemic institutions’, that can function as 'webs of prevention' against cyberattacks.
Seumas Miller is a Professor of Philosophy at Charles Sturt University and a Distinguished Research Fellow at the University of Oxford. He is the author or coauthor of 22 books and over 250 academic articles.
Recommended pre-reading: Cybersecurity, Ethics and Collective Responsibility, Chapter 3 Section 3.3 and Chapter 7 Section 7.1 (link to PDF).