Bifalgorithm post

Traditionally, data scientists use AI models to analyze data, but with GNAI, the field is split off into its own distinct area, AI engineering. The main difference between these two fields are its use cases. Data scientists are data storytellers who use descriptive analytics to describe the past, while AI engineers are AI system builders who use foundation models to build systems that transform business processes. Data scientists work with structured data, while AI engineers work with unstructured data. The underlying models also differ, with data scientists using hundreds of different models and algorithms, while AI engineers are using just a single type of model, which you probably know, the foundation model.

Traditionally, data scientists use AI models to analyze data, but with GNAI, the field is split off into its own distinct area, AI engineering. The main differ…