Abstract: 

Good machine learning algorithms don’t guarantee good models. Great models need great features. That’s why feature engineering takes so much time. Developing good features is time-consuming, difficult, and most of all requires domain knowledge. Join dotData CEO, Ryohei Fujimaki, PhD, as he discusses the future of Feature Engineering, how automation can help you extract the full-potential of your data, and how you can leverage AI-features to augment and reinforce your AI/ML workflow.

Bio: 

Ryohei is the Founder & CEO of dotData. Prior to founding dotData, he was the youngest research fellow ever in NEC Corporation’s 119-year history, the title was honored for only six individuals among 1000+ researchers.

During his tenure at NEC, Ryohei was heavily involved in developing many cutting-edge data science solutions with NEC’s global business clients, and was instrumental in the successful delivery of several high-profile analytical solutions that are now widely used in industry.

Ryohei received his Ph.D. degree from the University of Tokyo in the field of machine learning and artificial intelligence.