Leveraging AWS and Machine Learning to Power Search at Zocdoc

You Don’t Need to be a Doctor to Find a Doctor: Leveraging AWS and Machine Learning to Power Search at Zocdoc

• Over the last 60+ years, the field of machine learning has evolved from the fundamental discovery research within the academia to AI commercialization in our daily life. Machine learning and AI have brought us computer vision, language translation, natural language understanding and autonomous driving vehicle in the recent years, and it is becoming more pervasive than ever. In fact, many of us interact with machine learning and AI without even knowing it.

• In our first talk tonight, we will introduce machine learning. We will discuss the basic concept behind machine learning including supervised and unsupervised learning, and compare and contrast classic machine learning and deep learning. We will also provide a quick overview of a couple of deep learning neural networks. Finally we will provide an overview of AWS machine learning and AI services, platforms, and deep learning framework that AWS customers can use to build machine learning and AI solutions with.

• In our second talk you will hear how Zocdoc leverages Machine Learning: Most physician search systems require patients to know exactly what they’re looking for, either in terms of the appropriate specialty for a given condition or the medical terminology to describe the condition. At Zocdoc, we have built a patient friendly search system to power our core doctor discovery and booking platform using various products from the AWS stack and custom Machine Learning pipelines. This talk will focus on the anatomy of our Patient Powered Search and will cover both the architecture and algorithms that enable us to go from “ear ache” to “otolaryngologist.”

• Speakers:

Pedro Rubio, Engineering Manager, Zocdoc

Brian D’Alessandro, Director of Data Science, Zocdoc

David Ping, Solutions Architect, AWS