Abstract

The exponential growth in data has made it increasingly difficult for researchers to manage, process, and analyze data effectively. In recent years, artificial intelligence (AI) has emerged as a key solution to this problem. Text-to-text AI tools such as Open AI’s ChatGPT, Jasper AI and Github Copilot as well as text-to-image AI platforms such as Dalle 2, Midjourney, and Stable Diffusion, among others, will play a significant role in optimizing the data pipeline, from sourcing and collecting data to data analysis and visualization. This paper explores the role of AI in optimizing the data pipeline and provides an overview of best practices and tools for implementing AI platforms into each stage of the process.

Presenters

Danne Woo
Assistant Professor, Design / Art, Queens College, CUNY, New York, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2023 Special Focus—Who Can We Trust? Ethical and Responsible Artificial Intelligence in Digital Communication Systems

KEYWORDS

Data, Data Visualization, Information Design, AI, Artificial Intelligence, Machine Learning

Digital Media

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