This event is a technical deep dive with three experienced product managers that have worked at Amazon, PayPal, Ayasdi, and Symphony.

Message for attendees. If you arrive after 6 pm and the entrance is closed, be sure to call 415 240 0498 and someone will come and get you. Entrance is right by a Chinese restaurant, look to the right beside the restaurant.

The presentation will focus on use cases and technology that powers AI and ML applications that help with combating payment fraud.

Agenda :

5.30 pm to 6.00 pm Check-in. Food and Drinks
6.00 to 6.15 pm Intros and Welcome
6.15 pm to 7.15 pm Talks
7.15 pm to 7.30 pm Q&A , Wrap Up and Networking

We will discuss Machine Intelligence Applications and the five drivers of truly intelligent applications.:
1. Discover
2. Predict
3. Justify
4. Act
5. Learn

Speaker: Mr.Diljit Singh is Sr. Product Manager at Alexa Amazon. Until recently he was Sr. Director of Product Management at Ayasdi. He will be presenting information on Payment integrity and Fraud models.

He has delivered AI/Machine learning applications for mobile, financial services and healthcare. He launched initial applications on Amazon Fire phone including Kindle Reader, Silk Browser, and Music player. He built initial voice/speech for mobile in the early days of Alexa and has recently returned back to working for Amazon.

For a few years he worked at Ayasdi and award winning company and built Anti Money Laundering (AML/KYC) and Fraud applications.

Speaker: Ms. Michelle Tsing
She was an attorney at PayPal, where she helped the Large Merchant Services team achieved ubiquity. Prior to PayPal, she was at Cisco, eBay, Samsung and Apple.

She co-founded a blockchain payments startup in 2015 and is a strategic advisor to a number of AI, blockchain and 3D printing companies. She is also a mentor for Singularity Univerisity Ventures, Berkeley Blockchain Accelerator, SVI Academy and Hack Temple, which are tech incubators located in the United States.

She founded Robotics for Good: Chatbots, Messaging and AI community; and had donated her time to both The Loving AI/XPRIZE Project and Robots Without Borders. She is a member of the California and Georgia blockchain advocacy coalitions. She is also producer and host of Laptop Radio at Stanford University.

Speaker Ms. Sheela Ursal is Fintech Adviser on best practices of AI and ML in payments. She will review some use cases where companies have been able to leverage new technology to identify and reduce fraud.

Agenda :

5.30 pm to 6.00 pm Check-in. Food and Drinks
6.00 to 6.15 pm Intros and Welcome
6.15 pm to 7.15 pm Talks
7.15 to 7.30 Q&A , Wrap Up and Networking

Event Sponsor : Labzero (https://labzero.com)