Web 3.0 Generative AI and Synthetic Data Application

Generative AI is one of the most impactful and rapidly evolving technologies that brings productivity revolution, and venture capitalists are betting hundreds of millions of dollars on startups that use AI to generate images, text, and more, Wired and Emerging Technologies and Trends Impact Radar for 2022 reported. The potential of generative AI is immense, as it can learn to mimic any distribution of data, allowing it to create worlds that closely resemble our own in any domain.

Synthetic data is essential for business due to privacy concerns and limitations of public sources, such as restrictions on use or a lack of information about how the data was obtained, as well as the distribution of the samples. Synthetic data is generated, so it doesn’t contain any private data, and it can have the same distribution as the original data or even address imbalanced data. The potential of synthetic data for industries where getting data can be tough, or to create environments controlled for edge cases or uncommon ones to improve the models. The industry of the future relies on data, to train models and AI Applications. A data-centric approach can improve accuracy with less data.

Target Audience: TBD