SCHEDULE
ERICSSON HOUSE
09.00 - 17.00
Carl Osipov
CTO and Co-Founder
of CounterFactual .AI
Serverless Machine Learning with TensorFlow
09.00 - 17.00
Zoltan C. Toth
Principal Instructor
of Databricks
Hands on Deep Learning with Keras, Tensorflow, and Apache Spark™ (Official Databricks Workshop)
09.00 - 17.00
Levente Szabados
Senior consultant, lecturer
of AI Partners, Frankfurt School of Finance and Management
Gergely Szertics
Professional leader
of AI Coalition
What is your ideal business case for AI? Non-technical workshop
- 13.30 Workshop
- Microsoft Ai - From Platform to Custom Solutions
- Mark Szabo
- Karoly Bozo
URÁNIA FILM THEATRE
08.00
Registration & Breakfast
09.00
Opening
09.15
Zoltan Prekopcsak
VP Data & Analytics
of RapidMiner
Reality check: what AI can and cannot do?
10.00
Carl Osipov
CTO and Co-Founder
of CounterFactual .AI
Data Science without a Data Scientist: Machine Learning Model Discovery with Cloud AutoML
10.45
Coffee break
11.05
András Lőrincz
Senior Researcher
of Eotvos Lorand University
Component Networks for Explainable Artificial General Intelligence
11.50
Patrick van der Smagt
Director Artificial Intelligence
of Volkswagen Group
Efficient AI: Bayesian machine learning and optimal control
12.35
Lunch break
14.05
Camille Eddy
University Innovation Fellow
of Student at University of Idaho
Recognizing cultural bias in AI
14.50
Gergely Debreczeni
Chief Scientist
of AImotive
AI in automated driving
15.35
Coffee break
15.55
Ignacio Más
Senior Expert, Head of Technology Innovation in OSS
of Ericsson
The complexity conundrum in telecommunications: will AI take over when people give up understanding what's going on?
16.40
Stefan Otte
Chief Data Scientist
of RoomAR
Practical PyTorch 101
17.25
Dinner & Party
- 13.30 Workshop
- Practical PyTorch
- Stefan Otte
URÁNIA FILM THEATRE
08.00
Breakfast
09.15
Josh Tobin
Research Scientist
of OpenAI
Troubleshooting Deep Neural Networks
10.00
Leonid Kuligin
Strategic Cloud Engineer
of Google
Distributed tensorflow: training and profiling
10.45
Coffee break
11.05
Optimizing Training for Sparse Workloads in Tensorflow
11.50
Jaeseong Jeong
Senior Researcher
of Ericsson
AI for Cell Shaping in Mobile Networks
12.35
Lunch break
14.05
Paris Buttfield-Addison
Producer of multi-award winning games+apps
of Secret Lab
Mars Geldard
Research Assistant
of University of Tasmania
On-device Neural Style Transfer
14.50
Kush R Varshney
Principal Research Staff Member and Manager
of IBM Thomas J. Watson Research Center
AI Fairness 360
15.35
Coffee break
15.55
Andrea Pasqua
Data Science Manager
of Uber
Forecasting at Uber: Machine Learning approaches
16.40
Closing