Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Adam Grzywaczewski

Adam Grzywaczewski
Deep Learning Solution Architect, NVIDIA


Adam Grzywaczewski is a deep learning solution architect at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.


14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 2/3
Average rating: **...
(2.67, 3 ratings)
Adam Grzywaczewski offers an overview of the types of analytical problems that can be solved using AI and shares a set of heuristics that can be used to evaluate the feasibility of analytical AI projects. Adam then covers the computational requirements for the deep learning training process, leaving you with the key tools you need to initiate an analytical AI project. Read more.