Adobe Experience Platform (AEP) - Capabilities and Challenges

Speaker: Ramasuri Narayanam

Abstract

Adobe Experience Platform is purpose-built for capturing, processing and actioning data in real time, enabling enterprises to deliver rich and relevant experiences to their customers. This talk first provides the basic architecture of AEP along with its capabilities. Then it highlights several large-scale data science problems associated with AEP and many of these problems require innovative AI solutions.

Bio

Ramasuri Narayanam is currently a Senior Research Scientist at Adobe Research - India. Prior to this, he was a Senior Research Scientist at IBM Research - India and IBM Master Inventor. Before joining IBM Research in 2011, he obtained his Master's and Ph.D. degrees both in computer science, in 2006 and 2010 respectively, from the Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India. 
His research interests include Data Analytics, Federated Machine Learning, Computational Network Science, Computational Game Theory, and Multi-Agent Decision Making. He has published about 35 peer-reviewed research articles in several premier computer science conferences such as AAAI, AAMAS, IJCAI, ECAI, ECML, ICPR, etc. He has about 32 Granted Patents from USPTO to his credit. He received IBM's prestigious 'Outstanding Technical Achievement Award (OTAA)' FOUR times for his work in the areas of social media and business analytics, graph mining and game theory. He also received the 'Best Ph.D. Thesis' award from Computer Society of India (CSI), 2012.