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01/03/2024
Keys to Leverage the Future of AI to Grow Your Organization
How to understand the differences between predictive AI and generative AI
Over the last year, artificial intelligence (AI) has taken a front-row seat in the conversation across many industries. The utility and power of generative AI Large Language Models such as ChatGPT have disrupted the world of content creation, redefining the foundational approaches to how text, images, music and even videos are created.
However, while generative AI seems to have dominated the conversation, it is two paradigms that have emerged as transformative forces: generative AI and predictive AI. Each approach brings distinct capabilities to the table, profoundly shaping the innovation trajectory. In this article, I examine their unique utilities and contributions, and how both are poised to redefine our future landscape.
Fundamental Distinction and AI's Potential
At the core of artificial intelligence is Machine Learning; both generative AI and predictive AI utilize machine learning techniques to proffer solutions. Generative AI uses machine learning methodologies to generate new content absent from the initial dataset by relying on data already within the dataset. Essentially, it combines what it has to create something entirely new.
Please select this link to read the complete article from Inc.
