Start
April 4, 2020 - 5:00 pm
End
April 4, 2020 - 6:00 pm
Address
Online Webinar View mapCategories
Open ClassIDEAS Online Free Webinar
IDEAS & Data Application Lab co-host this live webinar.
国际数据科学与工程协会 IDEAS
IDEAS is a global nonprofit organization that is dedicated to fostering the data engineering and data science ecosystems and broadening the adoption of their underlying technologies to accelerate the innovations data can bring to society. Our goal is to create a community to connect AI and Data Science enthusiasts. All of the conferences that IDEAS host will demonstrate cutting-edge technology and feature a variety of AI and Data Science experts covering topics including industry trends, real-world applications, open-source software, solutions-based case studies, and many others.
Guest Speakers: Mayank Kejriwal
Topics: Knowledge Graphs: The Who, What, Where, When, Why and How
Description:
Knowledge graphs have emerged as a core AI technology in recent years, starting from the Google Knowledge Graph. Now, most major companies, such as Uber and Amazon, implement some form of knowledge graph technology, and numerous start-ups have emerged in this space as well. This webinar will speak to what knowledge graphs ‘mean’, in various communities and corporations, and what kinds of problems can be attacked using knowledge graphs. Ultimately, the webinar is intended to help you understand knowledge graphs better, and to decide whether you should use this technology for your problem.
Speaker’s Profile:
Dr. Mayank Kejriwal is a research assistant professor at the University of Southern California (USC) and a research lead in the Center on Knowledge Graphs at USC’s Information Sciences Institute, with a passion for developing real-world AI systems that can be used to crack formidable socio-technical problems. His research, primarily funded by DARPA, has been used to fight national human trafficking and for effectively mobilizing resources in the wake of natural disasters. Dr. Kejriwal was nominated as a 2019 Forbes 30 under 30 in the Science category and is serving as a red judge for the IBM AI XPrize.
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