What are the differences between Generative AI and Decision Intelligence?
Generative AI and Decision Intelligence are two different fields of Artificial Intelligence that have distinct goals and applications.
Generative AI refers to a type of AI that is capable of generating new content or data that is based on or similar to the input it has been trained on. It is a type of AI that can create new content such as music, text, images, or videos, by learning patterns from large datasets.
Decision Intelligence is a subfield of AI that focuses on helping humans make better decisions in their own context by combining insights and output from data and advanced analytics. Its objective is to optimize decision-making processes by providing accurate and timely information to decision-makers.
The key differences between Generative AI and Decision Intelligence are:
- Goal: Generative AI’s goal is to create new data while Decision Intelligence’s goal is to help humans make better decisions.
- Technique: Generative AI uses deep learning, neural networks, and probabilistic models, while Decision Intelligence combines various decision-making techniques and disciplines to design, execute and optimize decision processes on top of an existing analytics stack.
- Applications: Generative AI is used for applications such as image, video, music and text/ language generation. Decision Intelligence is used to optimize complex business decision-making processes across any industry.
- Output: The output of Generative AI is new data, while the output of Decision Intelligence is insight and recommendations to improve decision-making.