In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Today, that model doesn't work anymore. In the world of AI business ...

A simulation of the data visualization system created by Eris Jiayi Zhang (photo by Ryan Perez) This project was inspired by the concept of neural artistic style transfer, a popular concept in machine ...

We often think of it as a black box; But AI can help companies see through the fog of data with powerful new data visualization tools. From fraud detection to health care, supply chain management ...

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Without being able to answer these questions resolutely, IT budgets will be scrutinized and, at worst, put at risk. However, ...

The data visualization feature is currently available through AI Mode in Labs. This means it’s still experimental. Google hasn’t announced plans for wider rollout or expansion to other types ...

You can use AI to automatically discover devices. AI is very good at categorizing things. It can discern that a device is a switch or a router, for example, based on what it’s seen in the past.

More information: Emily Barrow DeJeu, Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes, Journal of Business and Technical Communication (2024 ...