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40 results All talks loading...
Data Clear all
Collaborate, Document, Version Deploy with Dss
AI

Collaborate, Document, Version Deploy with Dss

Sofiane Fessi
Trained scikit-learn model refinery with open-source packages
AI

Trained scikit-learn model refinery with open-source packages

Dorota Lączak, Maria Oleszkiewicz
How to recommend a personalised product to thousands of clients starting with raw data to real-time serving
Data

How to recommend a personalised product to thousands of clients starting with raw data to real-time serving

Hubert Pomorski
AI, Big Data and the new social order
AI

AI, Big Data and the new social order

Jacek Leśkow
Probabilistic data structures for Kafka Streams
Data

Probabilistic data structures for Kafka Streams

Mateusz Owczarek, Miron Ficak
ART 360: Defending AI models against adversarial attacks
AI

ART 360: Defending AI models against adversarial attacks

Mathieu Sinn
Is your phone ready to do machine learning?
Data

Is your phone ready to do machine learning?

Adam Niedziałkowski
Data Science with OpenShift
Data

Data Science with OpenShift

Michael Clifford
Machine Learning in Visual Search
Data

Machine Learning in Visual Search

Ola Kunysz
How likes influence your views
Data

How likes influence your views

Paweł Rzeszuciński
How to build an AI from zero to learn to play and solve a tough game
AI

How to build an AI from zero to learn to play and solve a tough game

Juan Tomás García
The reasons we do not do Machine Learning any more.
Data

The reasons we do not do Machine Learning any more.

Michał Jakóbczyk
Reproducible Machine Learning
Data

Reproducible Machine Learning

Matthew Opala
AutoML at scale
Data

AutoML at scale

Marcin Szeliga
Monitoring with no limits
Data

Monitoring with no limits

Nikolay Tsvetkov
AI meets privacy
AI

AI meets privacy

Weronika Dranka
Big Data and Data Analytics
Data

Big Data and Data Analytics

Jacek Leśkow
Discussion Panel: Experiences and views on AI adoption
AI

Discussion Panel: Experiences and views on AI adoption

William Benton, Konrad Pabianczyk, Umit Mert Cakmak
Programmer 2.0
Data

Programmer 2.0

Vladimir Alekseichenko
From Spark MLlib model to learning system with Watson Machine Learning
Data

From Spark MLlib model to learning system with Watson Machine Learning

Łukasz Ćmielowski
Stream processing in telco – case study based on Apache Flink & TouK Nussknacker
Data

Stream processing in telco – case study based on Apache Flink & TouK Nussknacker

Maciek Próchniak
Collaborative Filtering Microservices on Spark
Data

Collaborative Filtering Microservices on Spark

Rui Vieira, Sophie Watson
Luna – presentation
Data

Luna – presentation

Piotr Moczurad
Explaining neural networks predictions
Data

Explaining neural networks predictions

Matthew Opala
Big O in a Retailer’s Big Data
Data

Big O in a Retailer’s Big Data

Grzegorz Gawron, Tomasz Lichoń
Big and smart data in the development of autonomous vehicles
Data

Big and smart data in the development of autonomous vehicles

Grzegorz Wyszyński
Life after the model
Data

Life after the model

Michał Jakóbczyk
Improving Sentiment Analysis Code in a DevOps environment
Data

Improving Sentiment Analysis Code in a DevOps environment

Oindrilla Chatterjee