A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Ming‐Hui Huang, Roland T. Rust
Proposes a three-stage AI marketing framework categorizing AI into mechanical, thinking, and feeling types for research, strategy, and actions.
Dhruv Grewal, Cinthia B. Satornino, Thomas H. Davenport, et al.
This paper presents a four-quadrant framework for marketers to evaluate trade-offs in generative AI inputs and human augmentation needed for outputs.
Thomas H. Davenport, Abhijit Guha, Dhruv Grewal, et al.
Proposes a multidimensional framework integrating intelligence levels, task types, and robot embodiment to analyze how AI will transform marketing strategies, customer behaviors, and policy.