Generative AI, with its capability to produce content, can transform data into rich and helpful narratives. I see three ways in which the technology will improve data interpretation. 1.

As GPU-accelerated databases bring new levels of performance and precision to time-series and spatial workloads, generative AI puts complex analysis within reach of non-experts.

KEY TAKEAWAYS • Generative AI models enhance data augmentation, natural language processing, and creative applications. However, they face challenges like training complexity and are resource ...

Generative AI 'fools' scientists with artificial data, bringing automated data analysis closer. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 07 ...

The current application of Article 4 to gen AI, which is being used to defend its use of material we'd normally consider to ...

Making a model. Our journey through this industry starts with the model. In 2017, Google published the 'Attention is All You Need' paper that introduced the transformer model, which allowed for ...

Training a generative AI model like ChatGPT is a huge energy suck, but individual usage over time adds up. And that’s just electricity. Ten to 50 ChatGPT queries use half a liter of water , per ...