SEPTEMBER 28, 2019, WARSAW

STATE OF THE ART
Machine Learning Conference

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The place where meet engineering, business and art. Applied machine learning & real use cases.

This year's leitmotif is "STATE OF THE ART", so be ready for the most advanced designs and ML implementations with a strong focus on practice and real-world use cases.

Meet experts who implement cutting-edge machine learning solutions in areas such as medicine and healthcare, finance, industrial processes, transport and logistics, conversations and communication, design and art.Join if you are an ML engineer, Data Scientist, Head of Innovation, CEO or CTO who runs a business based on ML, a developer who wants to start working with ML, a geek-artist who uses ML or you touch this topic in another way and you're hungry for knowledge of applied machine learning.



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By sending the message I give my consent to process my personal data within the DataWorkshop project. The consent above is given to Biznes Myśli – Uladzimir Aliakseichanka, Grodzka 42/1 street, 31-044 Kraków, Tax Identification Number (NIP): 6751364881. You can withdraw your consent at any time.
Meanwhile look how it was in 2018
DataWorkshop Club Conf 2018
What to expect
Click all pics to learn more about
Practical ML knowledge
& use cases
The presentations will contain:
- a use case,
- a classic way of solving the presented problem,
- the latest production solutions (state of the art in ML),
- success metrics,
- useful technical and business advice.

Each presentation is a 30-minutes intense dose of practical knowledge of Machine Learning and applied AI.

Additionally, you will get from us:
  • recordings of all presentations
  • summary with practical tips and links to tools, libraries, etc. written by experts, so that you can explore the topic at home or at work.

Expert experience & motivating stories
Among our speakers, you can meet experts from small and large companies/organizations, who are actively working on new models and show the most advanced designs and ML implementations that solve real problems.

Don't miss the opportunity and join AMA sessions with Speakers!

AMA is a less formal form of Q&A and has one rule: ask me anything! So take a cup of coffee, go to the AMA zone just in time, sit comfortably next to the speaker and ask anything you want to know.
Effective game networking
If you want to go somewhere, it is best to find someone who has already been there (R.Kiyosaki).

We designed Game Networking to optimize the search for such people. During the hour you will meet from 25 to 30 people who have similar interests and different experience. You will not have to talk about the weather, don't worry. The moderator will keep his finger on the pulse and will take care of the topic of conversation and a good atmosphere.
Online transmission
Are you going to get married on September 28? :)

Don't worry. If you can't join DWCC for some reason, watch online transmission and keep your finger on the pulse of ML's innovations.

You can watch the live broadcast, or watch recorded lectures at a convenient time.

By joining the conference live, you have the chance to talk with participants and ask questions to experts via Slack. You will also receive materials after the conference: summary with practical tips and links to tools, libraries, etc. written by experts.

Subscribe to the list. You will receive an email when tickets for online transmission will be available.


Brainstorm & Discussion zones
How to avoid losing money and time for unsuccessful ML projects? What are common and less common mistakes in ML I should avoid?How to build a team of ML specialists?

If you have these and much more doubts related to the business side or your ML career choices, then don't miss this zone.

As Eleanor Roosevelt said: "Learn from the mistakes of others. You can't live long enough to make them all yourself". Experienced by failures and success in ML field people will help you save a few years of wandering.
Workshops
Do you want to improve your technical skills?

If so, subscribe to the list. We will inform you about our workshops soon.
Creative technology & art zone
When you take technology and mix it with art, you always come up with something innovative, because often the art challenges the technology.

At the conference, you will meet a geek artist and see projects that combine both areas.

Open your eyes and mind for non-standard ways working with intelligent systems.
Unique ML community not only from Poland
Become a member of the ML community, learn from others and support others. Meet people with different ML experience and varied background.

Join our Slack and meet the conference participants before the event and stay in touch for a long time. You will receive an invitation to Slack a few days before the conference.

During the conference, you can ask questions to experts also via Slack.

We also regularly send practical doses of knowledge and news about ML (also after the conference) to help you always have your finger on the pulse. The world is changing faster than you think.

DWCC2019 in numbers
1
day
2
tracks
30+
experts
300+
attendees
Meet our speakers
Tomas Mikolov
Research Scientist / Facebook
He is a research scientist at Facebook AI Research since May 2014. Previously he has been a member of Google Brain team, where he developed and implemented efficient algorithms for computing distributed representations of words (word2vec project). He has obtained PhD from Brno University of Technology (Czech Republic) for his work on recurrent neural network based language models (RNNLM). His long term research goal is to develop intelligent machines capable of learning and communication with people using natural language.

Interests:
Machine learning, and natural language processing.

LinkedIn
Emeli Dral
Chief Data Scientist, Mechanica AI
Emeli Dral leads the data science team at Mechanica AI. She is responsible for the development of core products and technologies for the application of artificial intelligence in industrial processes.
Prior to co-founding Mechanica AI, she served as the Chief Data Scientist at Yandex Data Factory. She led a team of accomplished data scientists and oversaw the development of machine learning solutions for various industries - from banking to manufacturing. Emeli is a lecturer at the Yandex School of Data Analysis and Harbour.Space University, where she teaches courses on machine learning and data analysis tools. In addition, she is a co-author of the "Machine Learning & Data Analysis" and "Big Data for Data Engineers" curriculums at Coursera.

LinkedIn
Mikhail Burtsev
Founder and Leader at DeepPavlov.ai
Mikhail Burtsev is head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. In 2005, he received the Ph.D. degree from Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. From 2011 to 2016 he was head of the lab of Department of Neuroscience at Kurchatov NBIC Centre. Now he is one of the organizers of NIPS 2017 Conversational Intelligence Challenge, and a head of iPavlov Project.


His research interests are in fields of Natural Language Processing, Machine Learning, Artificial Intelligence, and Complex Systems

LinkedIn
Janusz Marecki
Senior Research Scientist / DeepMind
He is currently a senior research scientist at Google DeepMind where he conducts research advancing the state-of-the-art in deep learning, reinforcement learning and multi-agent systems towards solving intelligence.

His specialties include Deep Machine Learning, Markov Decision Processes, Reinforcement Learning, and High-Performance Computing.


LinkedIn
Valentin Malykh
Applied Research Scientist at VK.com
Research Scientist with a demonstrated history of working in information retrieval industry. Skilled in Deep Learning, Natural Language Processing, & Python. Strong research professional graduated from MIPT in 2009.

Valentin Malykh has experience in information retrieval (Sputnik & Yandex), dialog systems (iPavlov & VK).
Now he is working on research in natural language understanding.

LinkedIn
Marta Markiewicz
Head of Data Science at Objectivity
Born in 1988, a graduate in Mathematical Statistics at the Wrocław University of Technology. Her master's thesis entitled "Stable feature selection methods" won the second place in the XLVI competition of the Polish Mathematical Society for the Best Student Work in Probability Theory and Statistics Applications. Professionally, over almost 8 years, she has been discovering the potential of data in various business domains - from medical data, through retail, HR, finance, aviation, real estate, ... She deeply believes in the power of data in every area of life.

LinkedIn
Zbigniew Wojna
Zbigniew Wojna is deep learning researcher and founder of TensorFlight Inc. company providing instant remote commercial property inspection (for risk factors for reinsurance enterprises) based on satellite and street view type imagery. Zbigniew is currently in the final stage of his Ph.D. (already with more than 2000 citations) at the University College London under the supervision of Professor Iasonas Kokkinos and professor John Shawe-Taylor. His primary interest lies in finding and solving research problems around 2D machine vision applications usually in big scale. Zbigniew in his Ph.D. career spent most of the time working across different groups in DeepMind, Google Research, and Facebook Research. It includes DeepMind Health Team, Deep Learning Team for Google Maps in collaboration with Google Brain, Machine Perception with Kevin Murphy, Weak Localization Team with Vittorio Ferrari and Facebook AI Research Lab in Paris. His company TensorFlight Inc. was featured as top 2 AI startups among few hundreds by InnovatorsRace50 and closed seed funding last year.

LinkedIn
Łukasz Dziekan
CTO at FinAI
For the 10 years he is dealing with advanced analytics and production deployed machine learning systems. He started in Deloitte where he did complex risk analysis systems in credit risk and stress tests. Then he did 2 years in New York Unicorn Zocdoc where he was analytics tech lead and infrastructure senior developer. However he missed home and came back and built 50 person machine learning advisory team in PwC CEE, It was first such case in Poland. At the end of 2016 he found his entrepreneurship vibe and founded FinAi.com and became CTO. In FinAi he deals with simplifying retail finance – using Machine learning methods – in a way where they are designed to help rather than obstruct. They do things like fraud detection and face recognition and credit risk. And it's interesting, but very hard to do right.

LinkedIn
Bartek Skorulski
Senior Data Scientist at Research Team, Alpha
Bartek Skorulski is Senior Data Scientist in Research Team in Alpha (Telefonica), a team that designs and builds machine learning solutions for improving people mental health. He has extensive experience in both industry and academic word. On one hand he was working in Messaging Team in Schibsted (company knows for portals like Fotocasa, Leboncoin, Infojobs, Segundamano) helping building experimentation driven products like, for example, smart replies in chats. In SCRM (digital hub of Lidl) he was setting up data driven environment, building recommender systems, forecasting demand and AB Test tool. In King (Activision/Blizzard) using data he was helping build best games. On the other hand, he was also working as Associate Professor doing research in Dynamical Systems and teaching graduate and undergraduate courses. Last few years he has been also teaching courses on machine learning, deep learning and data management.

LinkedIn
Łukasz Kidziński
CTO at Saliency.ai , Researcher at Stanford
Łukasz Kidziński is a researcher in the Mobilize Center at Stanford, working on the intersection of computer science, statistics, and biomechanics. He is a co-founder of Saliency.ai -- a startup focusing on improving efficacy of clinical trials using artificial intelligence. Previously, Łukasz was a researcher in the CHILI group, Computer-Human Interaction in Learning and Instruction, at the EPFL. He obtained his Ph.D. at Université Libre de Bruxelles in mathematical statistics, working on time series analysis and functional data. He obtained two master degrees in mathematics and computer science, from the University of Warsaw. His research interests include time series analysis, large scale statistics, alternative data, and applications of data science in biological and medical sciences.

LinkedIn
Dariusz Gross
DATAsculptor
DATAsculptor, an artist interested in machine learning and 3D generative networks in VR/AR. He started the myFATHERintheCloud.ai project as a way of studying the idea of giving the artists digital artistic immortality. The founder of #next_top_architects an Architecture Community provides a unique environment for architects around the globe to meet, share and compete. He started D.E.GROSS in 1994 a residential architecture practice designing one-off luxury homes and commercial developments. Innovative residential architecture that transforms clients' living environments.

Since his project "risky player " CASINO GRAND HOTEL Sopot in 1996, he is developing #DATAsculpting

LinkedIn
Anna Anzulewicz
Head of Research at Harimata
Anna is a cognitive scientist with a background in psychology and data science, and a great interest in using new technologies in diagnosis, therapy, and education. She loves working in multidisciplinary projects and developing technology for social good. She combines her academic work at several universities with business.

For six years Anna worked as head of research at Harimata, a startup company that combines psychology and technology to support assessment and treatment of disorders in children and adults. During her time in Harimata, she developed AI-based solutions supporting early detection of autism spectrum disorder in children as well as applications helping adults who suffer from mood disorders.

LinkedIn
Aditya Guglani
Data Scientist at Uber
He is currently a data scientist at Uber where he is using deep learning and natural language processing to provide magical support experiences to customers and driver partners. He has a background in engineering and a graduate degree in data science, which enables him to solve some hard problems using data and machine learning. His interests currently include neural networks, document semantics, and language understanding.

LinkedIn
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By sending the message I give my consent to process my personal data within the DataWorkshop project. The consent above is given to Biznes Myśli – Uladzimir Aliakseichanka, Grodzka 42/1 street, 31-044 Kraków, Tax Identification Number (NIP): 6751364881. You can withdraw your consent at any time.
WARSAW | SEPTEMBER 28 | SOUND GARDEN HOTEL
DATAWORKSHOP CLUB CONF
STATE OF THE ART
LATE BIRD TICKET PRICE STARTS FROM 1164,50 PLN + VAT 23%
Get the Late Bird Ticket
Tickets
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1370 PLN + VAT(23%)
1164,50 PLN + VAT(23%)
Late birds ticket to DataWorkshop Club Conf in Warsaw.

use code: LATE_BIRDS_CONF

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Regular price
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What you'll get after the registration
Ticket
Access to all sessions, including AMA, discussion and art zones.
Expert knowlege
You can ask experts anything during the AMA session and discuss your problem with experts in a dedicated zone.
All day food
Stay hungry for knowledge! We'll take care of the rest.
Video pack after the conference
Few days after the conference you'll get a pack with all recorded talks.
Post-conference publication
After the conference, you will also get a summary of all lectures with extra practical tips and links to tools, libraries, etc. written by experts.
Unlimited
networking
Including access to dedicated Slack before and after the conference, game-networking session.
Follow DataWorkshop
September 28, 2019


SOUND GARDEN HOTEL
Żwirki i Wigury 18,
02-092 Warsaw
If you need accommodation and want to be as close as possible to DWCC 2019, it will definitely be the Sound Garden Hotel, where the conference takes place.

We have a 15% discount for conference participants. Use password: DataWorkshopClubConf during booking on the hotel's website step by step or save time and click here.

How to get to the DWCC2019

From Chopin Airport - 2 km distance, the fastest way is to take a taxi, there are also two bus
lines 175 or 188. Start your journey at bus stop "Lotnisko Chopina", after 5 minutes you will departure to the bus stop "Novotel".

From City center - 6 km distance, you can take taxi or a bus number 175. Start your journey at bus stop "Centrum", after 30 minutes you will departure to the bus stop «Novotel".

From Warsaw Central Railway Station - 5 km distance, you can take taxi or a bus number 175 as well as 504. Start your journey at bus stop "Dworzec Centralny", after 25 minutes you will departure to the bus stop "Novotel".

Plan your trip to Warsaw

Find things to do during your stay in Warsaw for #DWCC2019 including days out, attractions and sightseeing, what's on, theatre, tours, restaurants and hotels in the city.
Plan your trip to Warsaw with useful traveller information. Visit Warsaw's official city guide to find out more.
Call for Experts
"Call for Speakers" is closed. Thank you for every application. It's time to make a decision and it's not easy... We received very interesting applications from many countries such as USA, Italy, Australia, Norway, Switzerland, the Netherlands and of course Poland :)

Acceptance Decision: July, 31

After July 31 the list of speakers will be closed, but we are still open to cooperation with people who actively explore the field of machine learning in various ways. Don't hesitate to write to us as well if you are a geek artist who creates works using ML.

If you have any questions, please contact us: conf@dataworkshop.eu


Rest of the DWCC2019
is a BLACK BOX
Don't Miss a Thing!
Join it Right Now
Contact

conf@dataworkshop.eu

Grodzka 42/1, 31-044
Kraków, Poland
By sending the message I give my consent to process my personal data within the DataWorkshop project. The consent above is given to Biznes Myśli – Uladzimir Aliakseichanka, Grodzka 42/1 street, 31-044 Kraków, Tax Identification Number (NIP): 6751364881. You can withdraw your consent at any time.
Interested in Cooperation the #DWCC2019 Conference? Contact us at conf@dataworkshop.eu
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