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October2019
Kraków, Poland

A conference devoted to making the most in a world that’sDATA DRIVEN

About Data.sphere.it

Data.sphere.it is a conference devoted to data-centric systems and the technologies that make them tick. Whether it is data engineering or AI application challenges, they all fit in well.

Agenda

Critical Steps to Deliver Successful AI Projects
Umit Mert Cakmak
IBM
Umit Mert Cakmak
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Unsupervised Anomaly Detection in Multivariate Time Series Data
Umit Mert Cakmak
IBM
Umit Mert Cakmak
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Improving Sentiment Analysis Code in a DevOps environment
Oindrilla Chatterjee
Data Scientist at Red Hat
Oindrilla Chatterjee
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Data Science with OpenShift
Michael Clifford
Data Scientist - R&D Artificial Intelligence at Red Hat
Michael Clifford
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AI meets privacy
Weronika Dranka
Data Scientist w Unit8
Weronika Dranka
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AbadIA: How to build an AI from zero to learn to play and solve a tough game
Juan Tomás García
Chief Envisioning Officer at Sngular
Juan Tomás García
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The algo magic: from big to small data
Grzegorz Gawron
Head of Data Science at VirtusLab
Grzegorz Gawron
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The reasons we do not do Machine Learning any more.
Michał Jakóbczyk
Software Engineering Director
Michał Jakóbczyk
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Machine Learning in Visual Search
Ola Kunysz
Software Engineer at Tipser
Ola Kunysz
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AI,Big Data and the new social order
Jacek Leśkow
Director of the Polish National Institute for Academic and Computer Networks NASK
Jacek Leśkow
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Is your phone ready to do machine learning?
Adam Niedziałkowski
Software Developer/ML Engineer at 2040.io
Adam Niedziałkowski
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In or Out – what’s inside an instant review system for badminton matches?
Jarosław Nowisz
Computer Vision Expert at FlyEyeSport.
Jarosław Nowisz
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Reproducible Machine Learning
Matthew Opala
Machine Learning Tech Lead at Netguru
Matthew Opala
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How likes influence your views
Paweł Rzeszuciński
Codewise
Paweł Rzeszuciński
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ART 360: Defending AI models against adversarial attacks
Mathieu Sinn
IBM
Mathieu Sinn
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AutoML at scale
Marcin Szeliga
Data Scientist and Machine Learning practitionerIndependent consultant
Marcin Szeliga
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Monitoring with no limits
Nikolay Tsvetkov
Big Data Software Engineer at CERN
Nikolay Tsvetkov
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Workshops All workshops

Adversarial Robustness Toolbox – Defending AI against adversarial threats

A WORKSHOP BY
Mathieu Sinn
IBM
Mathieu Sinn
08.10.2019 / 16:00 - 19:30 / IBM Lab, Armii Krajowej 18
In this workshop, we will take a deep-dive into an emerging topic in the AI community: Robustness of AI models against so-called adversarial samples, which are inputs created by an adversary in order to corrupt the model outputs. We will...
REQUIREMENTS
Required skills: Python (intermediate), AI/Machine Learning (beginner) Software to prepare: - Python 3.5 later - Jupyter Notebooks - Installation of the v1.0.0 release of the Adversarial Robustness Toolbox (https://github.com/IBM/adversarial-robustness-toolbox)
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Object Detection – training of YOLO3 model

A WORKSHOP BY
Piotr Skalski
Software Engineer at VirtusLab
Piotr Skalski
06.10.2019 / 09:00 - 13:00 / św. Filipa 23, Kraków | Sala 2
Workshop will be focused on Object Detection. In this short time we will try to train a working YOLO model capable of detecting selected objects in photos. During this time we will prepare a dataset, which will be used for...
REQUIREMENTS
Basic knowledge of Python. Cloned repository (address to be provided at a later date).
More info