The Future of Artificial Intelligence

Professor Joseph Gonzales, specialized in ML and data systems, highlights the evolution of the AI field since he was first a graduate student to now. He highlights the change from statistical graphical models to more computationally expensive data driven models. 

As someone coming into the field, it's interesting to realize the innovations that enabled and continue to motivate the growth of deep learning.

He highlights key innovations:

• python data processing --> availability to data
• big data systems for ML
• development of model APIs (scikit-learn, XGBoost, Keras)

According to Prof. Gonzales, the next step in ML is "reliably deploying and managing these trained models to render predictions in real-world settings."