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Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource stack

14:30 - 15:00 (GMT+02:00)
11 November 2020
Keynote
Add to calendar 11/11/2020 14:30 11/11/2020 15:00 Europe/Bucharest Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource stack - GoTech World 2020 - The New Reality Only with PRO Pass

Speakers:
Romeo Kienzler, Chief Data Scientist @IBM

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Virtual hello@myconnector.ro aKyOfPFEVzRHclXpWmTW75232

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We are just in the middle of the DeepLearning hype. A lot of things are done, but enterprises are still struggling on production deployments. One of the reasons is that untrusted AI raises a lot of concerns. In this talk we’ll explain data lineage, bias detection, adversarial robustness and model explainability and how it can be achieved using an open source stack.

Romeo Kienzler
Romeo Kienzler
Chief Data Scientist
IBM
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Romeo Kienzler is Chief Data Scientist at the IBM Center for Open Source Data and AI Technologies (CODAIT) in San Fransisco.
He holds an M. Sc. (ETH) in Computer Science with a specialization in Information Systems, Bioinformatics, and Applied Statistics from the Swiss Federal Institute of Technology Zurich.
He works as Associate Professor for Artificial Intelligence at the Swiss University of Applied Sciences Berne and Adjunct Professor for Information Security at the Swiss University of Applied Sciences Northwestern Switzerland (FHNW). His current research focus is on cloud-scale machine learning and deep learning using open source technologies including TensorFlow, Keras, and the Apache Spark stack.


Recently he joined the Linux Foundation AI as lead for the Trusted AI technical workgroup with focus on Deep Learning Adversarial Robustness, Fairness and Explainability.
He also contributes to various open source projects. He regularly speaks at international conferences including significant publications in the area of data mining, machine learning and Blockchain technologies.
Romeo is lead instructor of the Advance Data Science specialisation on Coursera https://www.coursera.org/specializations/advanced-data-science-ibm with courses on Scalable Data Science, Advanced Machine Learning, Signal Processing and Applied AI with DeepLearning
Recently his latest book on Mastering Apache Spark V2.X (http://amzn.to/2vUHkGl) has been translated into Chinese (http://www.flag.com.tw/books/product/FT363).
Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology - IBM’s leading brain trusts. #ibmaot



Romeo Kienzler' sessions:

14:30 - 15:00 (GMT)
Nov 11, 2020
Keynote
Add to calendar 11/11/2020 14:30 11/11/2020 15:00 Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource stack - GoTech World 2020 - The New Reality Only with PRO Pass

Speakers:
Romeo Kienzler, Chief Data Scientist @IBM

Click here to view more details about this session.
Virtual hello@myconnector.ro aKyOfPFEVzRHclXpWmTW75232
10:15 - 10:30 (GMT+02:00)
11 November 2020
Keynote
10:30 - 11:00 (GMT+02:00)
11 November 2020
Keynote
11:30 - 11:45 (GMT+02:00)
11 November 2020
Keynote
11:45 - 12:30 (GMT+02:00)
11 November 2020
Networking Break
12:30 - 13:00 (GMT+02:00)
11 November 2020
Keynote
13:30 - 14:00 (GMT+02:00)
11 November 2020
Networking Break
Watching
Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource stack ...
14:30 - 15:00 (GMT+02:00)
11 November 2020
Keynote
15:00 - 15:15 (GMT+02:00)
11 November 2020
Networking Break
15:15 - 15:45 (GMT+02:00)
11 November 2020
Keynote
15:45 - 16:30 (GMT+02:00)
11 November 2020
Panel
16:30 - 17:00 (GMT+02:00)
11 November 2020
Panel