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TDWI Articles

Practical Data Science


Generative AI and Its Implications for Data and Analytics

Generative artificial intelligence has captured the imaginations of people around the world. Though not entirely new, generative AI is evolving so rapidly that technology professionals need to track its maturation closely to effectively evaluate the associated opportunities and risks. Here are the basics you need to know.

Data Stories: Stylish, Effective Data Visualizations

Making a data visualization elegant, conveying insights clearly, and choosing a visualization tool.

Data Digest: Data Difficulties, AI Risks, Adjusting ML

Determining when data can’t solve a problem, identifying the dangers of generative AI, and removing outdated or inappropriate training data from machine learning systems.

Data Stories: Parks, Games, and Toys

These data visualizations show amusement park attendees, video game sales, and Barbie’s careers.

Three Things Leaders Must Consider for the Coming Age of Artificial General Intelligence

Artificial general intelligence, a term coined by scientists, describes computing systems that could eventually be as smart as humans. Practically speaking, what does this mean, and what are its implications?

Data Digest: Security, AI, City Planning

Learning from previous cybersecurity failures, creating a successful AI solution at a bank, and creating a vision of future cities.

Data Stories: Box Office Records and Other Movie Money

Visualizing recent box office returns, one movie star’s career, and the different ways to measure a successful film.

Clearing Up Cloud Confusion for Data Warehousing (Part 2 of 2)

Before moving your data warehouse or lake to the cloud, it’s vital to have clear skies and a good view of the horizon.

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