Location: City Social London
In a fast-paced eCommerce landscape, online merchants face substantial challenges. This demanding and highly competitive context requires them to stay on top of their brand reputation. Preventing sophisticated fraud, and account takeover attacks in particular, has never been so important. Dynamically adjusting to evolving shopping and fraud trends, AI is revolutionizing eCommerce risk management. For merchants, the only question remaining is deciding between an in-house, or 3rd party solution. In this session, we will address.
6:00 – 7:00 pm – Networking drinks reception
7:00 – 7:05 pm – Introduction from Master of Ceremonies
7:05 – 7:20 pm – Keynote speaker by Riskified
7:20 – 7:40 pm – Keynote by guest speaker
7:40 – 9:40 pm – Three-course dinner complemented with table discussion points
9:40 – 10:00 pm – Wrap up and closing remarks from Riskified
- What is your organization currently doing to protect data?
- What is your approach to leveraging machine learning technologies?
- How adaptable is your current system to new shopping and fraud patterns?
Elad Cohen – VP Data Science And Research at Riskified
As VP of Data Science at Riskified, Elad is responsible for the ongoing improvements to the world-class machine learning models. Elad has over a decade of experience managing data science and analytics teams across research domains. Passionate about unleashing the power of data to make significant business impact, Elad is an expert in R, machine learning, and statistics. Prior to joining Riskified, Elad founded Viasat’s data science office in Israel and served as a Section Commander in an elite unit in the IDF Intelligence corp. He holds an M.Sc. and B.Sc in Applied Physics from Bar-Ilan University, and an Executive MBA from Tel Aviv University.
Riskified’s AI platform increases approvals and maximizes revenue for eCommerce merchants. Founded in 2013, and with offices in New York and Tel Aviv, Riskified currently has over 300 employees.
Our expert engineers have built a suite of solutions to address the full path to purchase. We review 1 million transactions daily, protecting merchants’ revenues from login, through payment authorization, to checkout and beyond. Some of the world’s largest enterprise merchants rely on our advanced machine-learning models to manage risk, increase revenue, and turn legitimate shoppers into customers.