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Sphere.it conf 2022
Sphere.it Conf 2023
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43 results

All talks

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Data
Sphere.it conf 2022

DARTS – Unifying time series forecasting

Weronika Dranka
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Data

A/B Testing Madness

Aleksandrs Gehsbargs
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Data

pandas-stubs — How we enhanced pandas with type annotations

Joanna Sendorek, Zbyszek Królikowski
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AI
Data

Collaborate, Document, Version Deploy with Dss

Sofiane Fessi
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AI
Data

Trained scikit-learn model refinery with open-source packages

Dorota Lączak, Maria Oleszkiewicz
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Data

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

Hubert Pomorski
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AI
Data

AI, Big Data and the new social order

Jacek Leśkow
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Data

Probabilistic data structures for Kafka Streams

Mateusz Owczarek, Miron Ficak
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AI
Data

ART 360: Defending AI models against adversarial attacks

Mathieu Sinn
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AI
Data

AI, Big Data and the new social order

Jacek Leśkow
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Data

The algo magic: from big to small data

Grzegorz Gawron
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Data

Improving Sentiment Analysis Code in a DevOps environment

Oindrilla Chatterjee
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Data

Is your phone ready to do machine learning?

Adam Niedziałkowski
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Data

How likes influence your views

Paweł Rzeszuciński
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Data

Data Science with OpenShift

Michael Clifford
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AI
Data

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

Juan Tomás García
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Data

Machine Learning in Visual Search

Aleksandra Kunysz
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Data

The reasons we do not do Machine Learning any more.

Michał Jakóbczyk
AI meets privacy
AI
Data

AI meets privacy

Weronika Dranka
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Data

AutoML at scale

Marcin Szeliga
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Data

Monitoring with no limits

Nikolay Tsvetkov
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Data

Reproducible Machine Learning

Matthew Opala
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Data

Explaining neural networks predictions

Matthew Opala
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Data
Reactive systems

Fast Data Architecture at XITE

Roman Ivanov
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AI
Data

Present/future vision for data+AI

Anthony Stevens
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Data

Implementing Machine Learning Algorithms for Scale-Out Parallelism

William Benton
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AI
Data

Discussion Panel: Experiences and views on AI adoption

William Benton, Konrad Pabianczyk, Umit Mert Cakmak
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Data

Programmer 2.0

Vladimir Alekseichenko
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Data

From Spark MLlib model to learning system with Watson Machine Learning

Łukasz Ćmielowski
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Data

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

Maciek Próchniak
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Data

Collaborative Filtering Microservices on Spark

Rui Vieira, Sophie Watson
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Data

Luna – presentation

Piotr Moczurad
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AI
Data

What we’ve learned from creating Edward.ai

Tomasz Wesołowski
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Data

Big O in a Retailer’s Big Data

Grzegorz Gawron, Tomasz Lichoń
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Data

Big and smart data in the development of autonomous vehicles

Grzegorz Wyszyński
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Data

Life after the model

Michał Jakóbczyk
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Data

Big Data and Data Analytics

Jacek Leśkow
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Data

Next CERN Accelerator Logging Service Architecture

Nikolay Tsvetkov
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Data

Descriptive statistics – the mighty dwarf of data science

Paweł Rzeszuciński
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Data

Building Successful Machine Learning Products

Maciej Dąbrowski
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Data

Recent advancements in NLP and deep learning: a quant’s perspective

Umit Mert Cakmak
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Data

How we built a Shiny App for 700 users?

Olga Mierzwa-Sulima
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Data

No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark

Marcin Kulka