The Evolution of "Oi Ocha" to Survive the Era of Inflation: Utilizing AI and Data Science to Assetize "Decision Making" [Marketing Agenda 2026 Event Report]
What is context engineering? Why generative AI answers become mediocre: The difference between context design and prompting.
5 steps to help you avoid confusion when analyzing data, starting today
What are the four categories of data analysis? The role and use of "descriptive," "diagnostic," "predictive," and "prescriptive" analytics to answer marketers' questions
How to use causal inference in marketing practice: Evidence from observational data analysis
Understanding the causal structure of marketing strategies using DAG (Directed Acyclic Graph)
What is causal inference? Basics and practical applications for avoiding misinterpretation of correlation and causation in marketing.
How data and science can strengthen your brand