Modern construction duties have grown to include an increasing number of data-driven tasks, requiring smarter systems for ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Stakeholder skepticism about machine learning often rings true: If the data scientist hasn’t measured the potential value, then how could the project be pursuing value? Executives know the importance ...

Recent surges in extreme weather events underscore the critical need for advanced climate prediction models. Super El Niño (SE) events, characterized by unprecedented climatic and economic impacts, ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.