SCHEDULE
Time zone: CET
Online
14.00-14.15
Opening
14.15-14.55
STAGE 1
Salla Franzén
Group chief data scientist
of SEB
Ethical implementations of AI systems in an organization
14.55-15.00
Break with music
15.00-15.45
STAGE 1
Lester Solbakken
Principle Software Engineer
of Verizon Media
Ranking article comments using reinforcement learning
STAGE 2
Attila Mitcsenkov
System Architect at Ericsson
of Ericsson
Finding the needle in the haystack: transform reactive analytics to proactive monitoring
15.45-16.00
Break with music
16.00-16.45
STAGE 1
Patrick Rotzetter
Certified Microsoft Azure data scientist, AI, and data engineer
of EPAM
Smarter conversations in banking
STAGE 2
David Lányi
Head of Machine Learning Methods
of Continental
AI for Road Safety – Before the World Reaches Full Autonomy
16.45-17.00
Break with music
17.00-17.45
STAGE 1
Reza Zadeh
Founder & CEO, Adjunct Professor
of Matroid, Stanford University
Turning Machine Learning Research into Products for Industry
STAGE 2
Jigyasa Grover
Machine Learning Engineer
of Twitter
Fueling Machine Learning with Feature Engineering
17.45-18.00
Break with music
18.00-18.45
STAGE 1
Csaba Szepesvári
Research Scientist, Professor
of DeepMind, University of Alberta
Planning, learning, and generalization in reinforcement learning
18.45-19.00
Closing
19.00-21.00
Online Networking- Speaker Breakout room - Music
Time zone: CET
Online
14.00-14.15
Opening
14.15-14.55
STAGE 1
Istvan Csabai
Professor of Physics
of ELTE-Department of Physics of Complex Systems
Data-intensive approach in sciences
14.55-15.00
Break with music
15.00-15.45
STAGE 1
Alejandro Saucedo
Engineering Director, Chief Scientist
of Seldon, Institute for Ethical AI
Production Machine Learning Monitoring: Principles, Patterns and Techniques
STAGE 2
Nicolas Dupuis
Senior Machine Learning Scientist, Artificial Intelligence Innovation & Strategy Lead, DMTS
of Nokia Bell Labs
Teaching machines and application to broadband
15.45-16.00
Break with music
16.00-16.45
STAGE 1
David Aronchick
Head of Open Source Machine Learning Strategy
of Microsoft
Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads
STAGE 2
Wiebe Van Ranst
Postdoctoral Researcher
of EAVISE - KU Leuven
Real-world adversarial examples
16.45-17.00
Break with music
17.00-17.45
STAGE 1
Elle O'Brien
Ph.D. data scientist, Co-creator of CML open source project.
of Iterative.ai
Automating machine learning with continuous integration
STAGE 2
Corey Zumar
Software engineer
of Databricks
Simplifying Model Development and Management with MLflow
17.45-18.00
Break with music
18.00-18.45
STAGE 1
Cheng Zhang
Principal Researcher
of Microsoft
Efficient element-wise information acquisition
18.45-19.00
Closing
19.00-21.00
Online Networking- Speaker Breakout room - Music
Time zone: CET
Online
14.00-14.15
Opening
14.15-14.55
STAGE 1
Farjola Peco
Head of Strategy Business Area Digital Services (BDGS)
of Ericsson
If AI and Automation is the answer, what was the question?
14.55-15.00
Break with music
15.00-15.45
STAGE 1
Paris Buttfield-Addison
Producer of multi-award winning games+apps
of Secret Lab
Simulating your robot brain with a game engine
STAGE 2
Amit Sharma
Senior Researcher
of Microsoft
Causal principles for explaining machine learning: A session with DoWhy and DiCE libraries
15.45-16.00
Break with music
16.00-16.45
STAGE 1
David Lacey
Chief Software Architect
of Graphcore
Accelerating ML Model Deployability & Efficiency with IPU Technology
STAGE 2
Casey S. Greene
Director, Center for Health AI
of University of Colorado School of Medicine
Opportunities and Challenges for AI in Biology and Medicine
16.45-17.00
Break with music
17.00-17.45
STAGE 1
Mady Mantha
Senior Technical Evangelist
of Rasa
Applying Conversational AI in the Enterprise
STAGE 2
Lucas Souza
Senior AI Researcher
of Numenta
Neuroscience-Driven AI: The Benefits of Sparsity for Artificial Intelligence
17.45-18.00
Break with music
18.00-18.45
STAGE 1
Tim Kentley-Klay
Creative and technical entrepreneur I Founder
of HYPR
Real world continuous learning is the future of Robotics
18.45-19.00
Closing
19.00-21.00
Online Networking- Speaker Breakout room - Music