Join us for a deep dive into practical use cases for deep learning!
Presentation #1: AI Meets Mail Processing by Denis Maciel, Data Scientist at Dataiku
In an effort to bring AI to mail processing, Denis will present a prototype we've developed for a client in the insurance industry. Using Computer Vision and Deep Learning techniques, it automatically processes typed and hand-written letters to send them to the correct department within the organization.
Denis Maciel, Data Scientist at Dataiku:
Earlier in his career, Denis has helped various startups in Berlin to build their analytics infrastructure. An economist by training, Denis often finds himself contemplating causal inference problems in massive datasets. Give him messy data and he will have an amazing time wrestling with it.
Presentation #2: Machine Learning and Deep Learning in Networking by Eduard Dulharu, Senior Network Architect at AT&T:
Eduard will present his research on using Machine Learning and Deep Learning to increase resiliency and performance in the field of networking. This is especially important in critical IP networks, where networking performance can make a difference between winning or losing (e.g. financial trading systems), or between high quality and mediocre healthcare services (e.g. hospital networks).
Eduard Dulharu, Senior Network Architect at AT&T:
Eduard started his career at the Romanian Ministry of National Defense before moving to the telecommunications industry, where he evolved as a network engineer. He holds an MsC in IT Security and is passionate about applying new Machine Learning and Deep Learning technologies to IP networks.
6:30 PM: Pizza, beer, & networking
7:00 PM: AI Meets Mail Processing by Denis Maciel, Data Scientist at Dataiku
7:30 PM: Machine Learning and Deep Learning in Networking by Eduard Dulharu, Senior Network Architect at AT&T
8:00 PM: More beer & networking!