Schedule

09:30 – 10:00 | HUB385 Academy

10:00 – 10:30 | HUB385 Academy

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.

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

11:50 – 12:20 | HUB385 Academy Room A

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.

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.

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

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?

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.

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.

12:50 – 13:20 | HUB385 Academy Room A

12:50 – 13:20 | HUB385 Academy Room B

12:50 – 13:20 | HUB385 Academy Room C

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.

13:20 – 14:00 | HUB385

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.

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.

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.

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.

14:30 – 15:00 | HUB385 Academy Room B

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.

15:00 – 15:30 | HUB385 Academy Room A

15:00 – 15:30 | HUB385 Academy Room B

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.

15:30 – 15:45 | HUB385 Academy

15:45 – 16:30 | HUB385 Academy

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.

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.

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.