At STRATEGENCE, we examined 30+ frontier generative AI models and found that even the most advanced "genius agents" need structure. By treating them like curious 5th graders, we use our ART (Alignment, Relevance, Triangulation) + RAG approach to guide, prompt, and enrich their outputs, turning fragmented data into reliable insights and real market advantage.

In Signal from Noise, Renato Silvestre explores how AI in marketing research delivers real value when guided by the ETL framework: Extract, Transform, Load. He highlights the importance of high-quality data, encoding categorical variables, and addressing missing values. Key AI applications include NLP, predictive modeling, and generative AI, all aimed at improving research accuracy and efficiency.