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Practical Data Science


Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?

Neuro-symbolic AI integrates several technologies to let enterprises efficiently solve complex problems and queries demanding reasoning skills despite having limited data. Dr. Jans Aasman, CEO of Franz, Inc., explains the benefits, downsides, and use cases of neuro-symbolic AI as well as how to know it’s time to consider the technology for your enterprise.

Data Stories: Functions and Risks of Generative AI

How large language models work, fake AI charts, and bias in the model.

Can Synthetic Data Jumpstart Your Strategic Projects?

Don’t let sparse data derail your analytics projects. Synthetic data can fill the gaps, but choosing the right generation method is key. Explore rule-based, statistical, and GAN approaches -- with their benefits and trade-offs.

Data Stories: Solstices and Solar Eclipses

How leap day impacts the calendar and two maps for the 2024 solar eclipse.

Data Digest: Industries Applying AI Today

AI and generative AI applications in the legal, healthcare, and automotive industries.

Data Stories: Historical Visualizations and Old UI

Check out early data visualizations, historical infographics, and the history of scroll bars.

Data Digest: Programming Data Science and AI

Programming languages for data science, using Python as a data quality tool, and popular languages for programming AI.

Is It Too Late for My Organization to Leverage AI?

The good news is that it’s not too late to start leveraging AI -- but the clock is ticking.

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