ZAGREB, CROATIA

28. – 29.06.2017, 3 keynotes / 16 talks / 36+ speakers
Awesome and great invited speakers and some community speakers on the unConference part.

June 28th and 28th, Zagreb, HUB385, Croatia
unConference

Schedule

For this unConference, we are building quite unique schedule and conference: half of the Conference will be regular stuff (sessions, panels, discussions) and half of it will be your – unConference, where you lead the discussion.


Day 1, June 28th, Wednesday

Conference Part

Here, you attend the predefined sessions and learn from case studies, presented by great speakers.

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STEVE LOK, THE ECONOMIST

Keynote: How The Economist uses Data Science: Data Economy

09:30 – 10:00 | HUB385 Academy

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Dmitry Turchyn, Microsoft Corporation

Keynote: Transforming Business and Life With Data

10:00 – 10:30 | HUB385 Academy

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DSE 2017

Panel Theme: Data Science in Croatia

10:30 – 11:30 | HUB385 Academy

Panel Participants:
Ivan Barać, Advisor to the President of Republic of Croatia on Digital Society
prof.dr.sc. Mile Šikić, Data Science Competence Center, FER
prof.dr.sc. Leo Mršić, CEO, IN2DATA
Ivan Skender, Chief Transformational Officer, VIPNET (tbc)
Ratko Mutavdžić, Cloud Services Director, Microsoft Corporation

Not really connected “just“ to the theme of Data Science or data economy, but the overall view on the resources that we have and what would be the best way to utilize them. Do we have them at all? Do we have the right people and companies that can build on that data? How to we integrated Data Science in our day to day work? What about big companies and what about government organizations?

We will hear from the first hand what some major stakeholders think about data science and the value of the data that we keep in our data environments.


Coffee Break

11:30 – 11:50 | HUB385 Outside of Academy

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BOJAN PRERAD, MICROSOFT CORPORATION

Finance Track: Revitalizing Traditional Lending by Crunching Data better

11:50 – 12:20 | HUB385 Academy Room A
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dr.sc. Gordan Krekovic, Bellabeat

Retail Track: How does data science support product design and development processes in Bellabeat?

11:50 – 12:20 | HUB385 Academy Room B
Bellabeat is one of the most successful startup companies from Croatia. Learn how we look at the data to drive product development and how we validate new ideas.
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dr.sc. Marko Mitić, TeleSign

Telco Track: Fraud Management: How to detect and prevent frauds?

11:50 – 12:20 | HUB385 Academy Room C
Various fraud techniques are increasing year over year across different industries and markets. Fraudsters are very skilled in finding new ways for committing fraudulent transactions each day which consequently causes development of novel innovative methods for fraud detection.
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dr.sc. LEO MRSIC, IN2data

Government Track: Fly me to the Moon (and back)

11:50 – 12:20 | HUB385 Meeting Room
How Advanced Analytics transformed Hospitality industry

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Boris Blumenschein, INFODOM

Finance Track: Connecting the Disruption in Financial Industry

12:20 – 12:50 | HUB385 Academy Room A
Connecting disruption of a traditional industry, new business models, new technologies and new approach to OpenData (#notsosexybutitworks)
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dr.sc. Marko Velić, STYRIA DIGITAL SERVICES

Retail Track: Using Deep Learning to reinvent online classifieds sales

12:20 – 12:50 | HUB385 Academy Room B
Learn how Styria is using deep learning to improve business process and user experience of Classifieds (2nd hand sales) sites. How to start with deep learning? What are the problems? Visual Search – a new kind of user experience. How is Visual Search empowering users?
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ZLATAN MORIĆ, IN2DATA

Telco Track: Blockchain, understanding the new Technology imperative

12:20 – 12:50 | HUB385 Academy Room C
Blockchain Technology in document management with case study. Technology that powers the blockchain have a multiple purposes, but there are three major components: security, connection with cryptocurrencies and document management – that is what we are going to describe in this session.
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dr.sc. Marko Krištof, Državni zavod za statistiku

Government Track: Transforming official statistics – from classic Data Processing to Data Science

12:20 – 12:50 | HUB385 Meeting Room
Enhancements of data processing, integrating new sources of data, new methods of processing, visualisations and innovative dissemination practices are used to respond to new conditions and need.

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VLADIMIR MARKOVIC, BANCA INTESA BEOGRAD

Finance Track: Social Sentiment and Sales at Banca Intesa

12:50 – 13:20 | HUB385 Academy Room A
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VELEUČILIŠTE ALGEBRA

Retail Track: Early Warning Systems on Social Networks

12:50 – 13:20 | HUB385 Academy Room B
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Darko Marjanovic, THINGS SOLVER

Telco Track: Machine Learning on Telco Network Data (VIP Serbia Case)

12:50 – 13:20 | HUB385 Academy Room C
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BOJAN HADZISEJDIC, NEPHOS

Government Track: Scaling Data for Smart Cities

11:50 – 12:20 | HUB385 Meeting Room
Data Science and Smart Cities are closely connected – cities are generating and managing significant amount of data that is not utilized in a right way. Learn how to orchestrate and use open data and utilize them for better citizen solutions.


Lunch

13:20 – 14:00 | HUB385

Day 1, June 28th, Wednesday

unConference Part

Here you propose, moderate or lead the session with your own idea, question or expertise.

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BOJAN HADZISEJDIC, NEPHOS CONSULTING, PETRA CICEK, MICROSOFT

A.1 CLOUD: Cloud as a Platform for Data Science

14:00 – 14:30 | HUB385 Academy Room A
How do you use cloud platforms to drive your data science efforts? What tools and solutions can you find on cloud platforms? Lets use one example. Microsoft Azure, and dive into the possibilities.

Microsoft will also explain what you need to do if you want to become Data Scientist, how you can enrol into the Microsoft Professional Program on Data Science, and how you can use prepared Resources with Machine Learning and Data Science environments.
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MARKO ŠTAJCER, POSLOVNA INTELIGENCIJA

B.1 Data Lake: From Data Warehouse to Data Lake technologies

14:00 – 14:30 | HUB385 Academy Room B
With the release of Hadoop and the new Big Data technology, we have been able to analyse a much larger amount of data compared to traditional DWH and the ability to analyse not only relational but unstructured data types.
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MLADEN MIJATOVIĆ, ALGONATOR

C.1 Modeling Economic Environment based on Open Data

14:00 – 14:30 | HUB385 Academy Room C
How to modeling geolocation economic environment based on open data and use such an application solution for performance management and sales revenue estimates. The presentation will include practical examples of solutions for the government and retail.

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BOJAN SOVILJ, CLOUDWALKER

A.2 SOLUTIONS AND TOOLS: Bringing Down the House (Betting on Analytics)

14:30 – 15:00 | HUB385 Academy Room A
Trying to beat the house? Then you must be better than Naive Bayes. See how Cloudwalker detects risky bets and helps betting companies with using machine learning techniques.
TBD

B.2 unConference Slot

14:30 – 15:00 | HUB385 Academy Room B
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DARKO BENŠIĆ, STIPAN MIKULIĆ, CROZ

C.2 Open Data: Quality of Life in the Cities

14:30 – 15:00 | HUB385 Academy Room C
The use of the Open Data Initiative is getting bigger in the IT world. Government institutions, various companies and people become aware of the importance and value of the data. The public sector in Croatia recognized the world’s initiative and started to create new social values.

unConference Slot A.3

15:00 – 15:30 | HUB385 Academy Room A
TBD

unConference Slot B.3

15:00 – 15:30 | HUB385 Academy Room B
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IVAN DUNDOVIĆ, CROZ

C.3 How to prepare for Marathon using Data Science?

15:00 – 15:30 | HUB385 Academy Room C
Running has become an interest of many people all over the world. Encouraged by the desire to move forward, we have decided to analyze the data of our races teams. We will use an increasingly popular programming language for the analysis – R.


Closing Ideas and Thoughts

15:30 – 15:45 | HUB385 Academy

Networking and Sharing

15:45 – 16:30 | HUB385 Academy

Day 2, June 29th, Thursday

Workshop Part


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KATARINA GASPERLIN, JELENA SKALEC, IBM CORPORATION

Put Data Science to Work

09:00 – 10:30 | HUB385 Academy
IBM Data Science Platform is a market leading approach to unifying analytics functions and providing a single platform for all personas along the analytics continuum. Business users, data scientists, data engineers and application developers should all be included in the collaborative process in order to maximise analytics results and put them into action. Data science is a team sport!

IBM Data Science Platform includes multiple points of entry for users. In addition to market leading advanced analytics and deployment capabilities, the platform includes access to popular open source tools such as R, Python, Jupyter notebooks, R Studio, Spark etc.

Insights we discover in the data are important but only come of value if we can use them and deploy analytics into our organization processes. Deployment is one of the biggest hurdles in an organization’s use of advanced analytics. IBM Data Science Platform includes comprehensive deployment capabilities and enables you to take action and automate key business processes.

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BOJAN PRERAD, MICROSOFT CORPORATION

Microsoft Tools and Plaforms for the Data Science

10:45 – 12:15 | HUB385 Academy
Predicting customer churn is an important problem for banking, telecommunications, retail and many others customer related industries. We will learn how Microsoft Azure Machine Learning, that solves the customer churn prediction problem, comes to life: From the creation of a workspace, to the preparation of data, to experimentation with machine learning algorithms, and then finally to the integration and integration of predictive insights. This session has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing developers taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning.
All attendees will receive a complementary T-Shirt.

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POSLOVNA INTELIGENCIJA

HPE Vertica

12:15 – 13:45 | HUB385 Academy
(presented by Marko Štajcer, Poslovna Inteligencija, thank you for help)
The HPE Vertica Analytics Platform is purpose built from the very first line of code for Big Data analytics. It is designed for use in data warehouses and other big data workloads where speed, scalability, simplicity, and openness are crucial to the success of analytics. Vertica relies on a tested, reliable distributed architecture and columnar compression to deliver blazingly fast speed. A simplified license and the capability to deploy anywhere delivers on the promise of big data analytics like no other solution.

Fueled by ever-growing volumes of Big Data found in many corporations and government agencies, Hewlett Packard Enterprise offers the HPE Vertica Analytics Platform, an SQL analytics solution built from the ground up to handle massive volumes of data and delivers blazingly fast Big Data analytics. The platform is available in the broadest range of deployment and consumption models, including on premise, on Hadoop, and in the clouds.
Day 2, June 29th, Thursday

Additional Info

There is a small change is the agenda: IBM will present first, then Microsoft and HPE.