InferenceQL - AI for Data Engineers, Without the Math

Explore the potential of InferenceQL, an innovative open-source AI platform for semi-structured data, in this conference talk from Strange Loop. Learn how data engineers can leverage AI for data exploration, monitoring, cleaning, and prediction without extensive mathematical knowledge. Discover the platform's SQL-like API, automatic model discovery capabilities, and built-in spreadsheet interface with data visualization features. Understand how InferenceQL operates on both JavaScript and JVM, enabling its integration into web pages and enterprise data pipelines. Gain insights into the Metaprob probabilistic programming language used for model representation and customization. Explore potential applications in data engineering, analytics consulting, data journalism, scientific analysis, and research in probabilistic programming and causal modeling. Hear about the platform's development at MIT, its differences from BayesDB, and the team's plans for external beta testing and contributions.