Generative AI and Analytical AI

ChatGPT arrived with a bang in November 2022 and attracted the attention of everyone to generative AI. It is a positive development since we initiated a new technology.

Though previously many companies have been using AI — analytical AI. It is still being used by many companies. Though there are some applications where both generative AI and analytical AI are used together, mostly each of them is used independently and separately.

Let us understand the differences between these two technologies. Both differ in purpose, capabilities, methods and data.

Generative AI uses foundational models or deep neural networks to generate new content — text, images, music, code. The output resembles human creation.

Analytical AI refers to statistical ML. It performs specific tasks such as classification, prediction or decision making. It is based on structured data. Analytical AI will indicate what product to promote to which customer. Generative AI would write copy and generate visual that accompanies the copy.

Generative AI content is indistinguishable from human-created content. Analytical AI is designed to perform specific prediction tasks efficiently. This is done based on predictive statistical models.

Generative AI uses transformers which convert a sequence of inputs into coherent outputs, and attention mechanisms which predict the next word based on the context of the words preceding it.

Analytical AI uses ML including supervised learning, unsupervised learning and reinforcement learning. Models are trained on past data and applied ‘in inference’ to predict new data. It uses structured data, typically rows and columns of numbers.

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