The past decade has seen rapid development of Artificial Intelligence (AI) and Machine Learning (ML) across different industries and for a multitude of successful use cases. However, one key challenge many businesses face for larger-scale adoption of AI and ML is that their data is often not ready for AI/ML. Automated feature engineering is a technology that aims to address the fundamental challenges of data readiness for AI.
In this talk, we will review automated feature engineering technology and discuss how data scientists can benefit from this technology to transform your data and enable AI applications.
Watch it on demand now!
