Google Next Billion Users (NBU): Tech, Trust and Safety in NBU Markets | SGInnovate


32 Carpenter Street
Singapore 059911

Google Next Billion Users (NBU): Tech, Trust and Safety in NBU Markets

Presented by SGInnovate. Partnered with Google and e2i.

At this 5th edition, we will focus on Tech, Trust and Safety for NBU Markets. In NBU markets, users often face unique "cultural" challenges when it comes to access, content, community, privacy and safety. Discover why as we share insights from our team’s work in our NBU markets. Learn about the opportunities we have to create gender equitable, safer products, content programs, and marketing initiatives.

Date : 17 October 2018
Time : 5:30pm – 7:30pm 
Venue : 32 Carpenter Street, Singapore 059911

5:30 pm – 6:00 pm: Registration
6:00 pm – 7:00 pm: Tech, Trust and Safety in NBU Markets
7:00 pm – 7:30 pm: Q&A and Networking

Speaker: Arjun Narayan, Head of Trust & Safety SG, Google

Mr. Narayan is head of Trust & Safety, leading Google’s efforts to protect end users, partners and the company interests from online threats, including Fraud, Abuse and low-quality interactions and content. His team defines product policies, enforces these standards and conducts online safety-related education & outreach activities across all of Google’s product areas and regions. Having spent nearly 13 years at Google’s several offices in Asia as well as our Mountain View headquarters leading global teams, Arjun built the SG/APAC Trust & Safety team from its humble beginnings. Mr. Narayan’s expertise lies in fraud and abuse fighting; providing clarity and definition in the gray product policy areas; educating users, stakeholders, and the public; and setting industry standards to help make the internet a safer place for all of Google’s users. 
Mr. Narayan holds a degree in Mechanical Engineering from the University of Bangalore in India. He has been an avid follower & champion of technology companies and their growth in Asia.

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics, Data Science / Data Analytics

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