Transforming Data Analytics with Generative AI: Starbucks' Winning Strategy
In the process of fundamental change in the marketing industry, AI, which has the ability to analyze data on an unprecedented scale, predict consumer behavior surprisingly accurately, and provide a more personalized customer experience than ever before, means a huge change in the way companies interact with consumers and make strategic decisions.
Marketers want to provide answers to how to understand big data-based AI. Through this, we plan to share insights with AI and marketing analysis cases.
1. Big data-based AI, and marketing strategy
Big data-based AI that marketers should know
Big data-based AI and marketing
The reality of AI application
Example of AI application
2. AI-based marketing case: Starbucks
About Hong Ki-hoon
He was a professor of finance at the School of Business Administration at Hongik University and a doctorate in economics at Cambridge University in the United Kingdom and worked at the Capital Market Research Institute and the University of Technology, Sydney.
He is a Chartered Financial Analyst (CFA) charter holder, and before coming to academia, he worked in university asset management funds, investment banks, etc., and built various practical careers related to finance.
The main research fields are econometrics, econometric finance, asset management, risk management, and alternative investment. In addition, we have been expanding our research field with innovative technologies such as blockchain, NFT, virtual assets, metaverse, AI, and big data for the past 10 years.
In particular, we are analyzing the impact of innovative technology on our society from a financial economic perspective, as well as art finance and ESG.