Engineering the Future of Software
Feb 25–26, 2018: Training
Feb 26–28, 2018: Tutorials & Conference
New York, NY
Georgios Gkekas

Georgios Gkekas
Data Architect, ING Bank

Website | @digigek

Georgios Gkekas is a big data architect on the international advanced analytics team at ING Bank, where he helps various business units gain insights from their data through ING’s advanced analytics big data environment and is working to extend the architecture of a private cloud advanced analytics offering to serve the global needs of ING. Georgios has 10 years of professional experience in the design, architecture, and development of enterprise software and distributed systems. He has always believed in the incredible value hidden in data, which can be exploited through the use of today’s big data technologies and machine learning techniques. This fascination has guided him throughout his career to build multitransactional and highly scalable backend systems and data products in a variety of sectors, including the space and telecommunications industry.

Sessions

3:50pm–4:40pm Tuesday, February 27, 2018
Secondary topics:  Best Practice, Case Study
Georgios Gkekas (ING Bank)
Average rating: ***..
(3.20, 5 ratings)
Georgios Gkekas shares ING's advanced analytics journey to promote modern machine and deep learning techniques internally through a central, best-of-breed technical platform tailored for data science activities. The platform offers only the necessary automated tools to replace the tedious, repetitive, and error-prone steps in a typical data science pipeline. Read more.