Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Brian Dalessandro

Brian Dalessandro
Sr Director, Data Science, Capital One

Website | @delbrians

Brian d’Alessandro is a Sr Director of data science at Capital One (Financial Services). Brian is also an active professor for NYU’s Center for Data Science graduate degree program. Previously, Brian built and led data science programs for several NYC tech startups, including Zocdoc and Dstillery. A veteran data scientist and leader with over 18 years of experience developing machine learning-driven practices and products, Brian holds several patents and has published dozens of peer-reviewed articles on the subjects of causal inference, large-scale machine learning, and data science ethics. When not doing data science, Brian likes to cook, create adventures with his family, and surf in the frigid north Atlantic waters.

Sessions

11:05am-11:45am Friday, September 7, 2018
Reverse engineering your AI prototype and the road to reproducibility
Implementing AI
 Location: Yosemite BC
Secondary topics:  Deep Learning models, Platforms and infrastructure
Brian Dalessandro (Capital One), Chris Smith (Zocdoc)
With the help of better software, cloud infrastructure, and pretrained networks, AI models have become easier to build. But once your solution veers from a common path, hidden challenges in reproducibility and implementation arise. Brian Dalessandro and Chris Smith share their experience and lessons learned while building a computer vision and OCR app for reading and classifying insurance cards. Read more.