The three main sections of the conference approached the data economy from different perspectives. The first session investigated technology-related issues from a business leader’s perspective without going into deep technological details and concluded with the costs of getting involved in the data economy (CTO). The legal framework of the European data economy regulates the members of the economy but also ensures the lawful operation of it. The second section touched those issues that are the most likely to emerge in any organisation’s life once it turns to digitisation like data localisation, GDPR or cybersecurity. The third section showcased best practices and use cases, which motivated and inspired participants to make the next step towards the deeper involvement in the data economy.

08:30 – 09:00: Welcome / Registration

  • Host: Gábor Gágyor, IVSZ

9:00 - 9:15: OPENING SPEECH: TECHtonic Shifts

  • dr. Zoltán Cséfalvay (OECD - ambassador, author)

[Video] [Slides]


Capturing value: how the power of data will drive the economy

  • Gabriella Cattaneo, Associate Vice President, IDC European Government Consulting

[Video] [Slides]

Data is at the core of the emerging digital economy. The next wave of innovation driven by artificial intelligence and cognitive computing will boost the ability of companies to capture the value of data and through digital transformation accelerate economic growth. IDC’s forecast models developed on behalf of the European Commission expect the European data market to more than double in value by 2025 reaching up to 147 B€ - and this will happen in Hungary too. Each euro invested in the data market generates between 5 to 7 euros of induced and indirect positive impacts in the economy as well as new jobs. But these potential rewards of a data-centric innovation process are counterbalanced by equally formidable transformation challenges for organizations as well as individuals. We’ll explore the potential development paths of the European data economy to 2025 through alternative scenarios.

Shall the state move and if yes, how in the data-economy?

  • András Levente Gál, expert, Digital Success Programme of Hungary


The presentation will start with the posture of the state and the governance in connection with the data economy as well as the introduction of challenges that the data economy reserves for the public administration. Among the challenges the speaker will explain the eyesight of public administration (retina), the higher heart rate caused by the expansion of the data economy and the new, different reflexes it requires from the public administration, finally it will cover the driving instinct of the public administration. Last but not the presentation will answer the question “How does the state freely and sovereignly move in the data-economy?”.

Elon Musk goes to Mars. Where can you go?

  • Péter Szántó, SpringTab

[Video] [Ebook]

Data matters. Why? Tesla’s market cap is higher than Ford’s. 90% of media is controlled by 6 corporations. They leverage data to the fullest. The keynote attempts to find explanation on the enterprise, SME and most importantly personal level. What actions can we take? Who’s gonna be forgotten like Kodak, or remembered like Apple.

10:15  - 11:00: TOPIC 1 - WHY DATA MATTERS?

Data inspires progress and galvanizes change. To know where we need to go, we need to know what we’ve achieved – where progress is being made and where major challenges remain. The potential of the European Data Economy alongside the national demands is constantly increasing, employing up to 7.4 million people by 2020. The objective of the first session is to introduce the main properties of data in general and to highlight the opportunities that lay in data collection and analysis with a special emphasis on those offered by the Big Data “revolution”. We will also answer the questions: ‘What shall I do now?’ or ‘How much will it cost for me to switch to data-driven decision making?’ (TCO).


The Data that's eating everything

  • Máté Gulyás - Partner - DATAPAO

[Video] [Slides]

The data and automation eat up all the industries. How can we become the winners of this change? What is possible and what is just hype?

How to Ruin your Business with Data Science and Machine Learning

  • Zoltán Prekopcsák - VP Engineering at RapidMiner

[Video] [Slides]

Costs of getting involved in the data economy

  • Péter Csillag - Starschema and VirtDB co-founder, CEO

[Video] [Slides]

11:00 - 11:30: COFFEE BREAK

11:30 - 13:00: TOPIC 2 - Free Flow of Data – The end of trade secrets?

Breaking down the barriers currently preventing the free flow of non-personal data in the EU is one of the key initiatives of the European Digital Single Market Strategy that has an important milestone in 2018. Resolving these challenges, which are linked to various technological, legal and security aspects, is the pre-requisite and an important catalysing factor to securing the development of the European Data Economy. In this session, we will present the obstacles surrounding this “flow”, discuss GDPR and other business or public interest affairs, and our speakers will also offer specific guidelines on how to proceed in the future.


Industry 4.0: The Future of Productivity and Growth

  • John Ford, GE Digital

[Video] [Slides]

From own data, open data to an ecology of data

  • Eric van Tol - Director of the Fontys University of Applied Science Expertise Centre Big Data

[Video] [Slides]

The 'open by default' rule for all 'public documents' was a huge commitment to open data from the European Commission about eight years ago. What is the status of open data projects in context of current Big Data developments? What are the benefits? What are the lessons learned? And how will we share data in the future?

Government access to personal data: how to guarantee security without undermining the European data economy?

  • Cecilia Bonefeld-Dahl, DIGITALEUROPE

[Video] [Slides]

The free flow of data will bring a wide range of social and economic benefits to the EU. A critical element for its success will be the confidence consumers have in storing and exchanging personal information in the Internet Cloud. Business will need to reassure consumers that their financial, personal, buying habits, travel destinations, use of products and services and communications is safe and not being shared inappropriately. The new rules of the GDPR will provide a consistent level of protection to EU citizens but efforts by foreign and EU governments to access personal data in the name of public security can pose a risk for businesses and innovation. Companies may soon be forced to breach consumer trust and in turn may be potentially exposed to substantial administrative, monetary or even criminal penalties.

How will GDPR affect your business?

  • Dr. Bálint Tóásó – KPMG Legal Tóásó Ügyvédi Iroda

[Video] [Slides]

GDPR vs Blockchain?

  • Ferenc Vágujhelyi -  Chairman of the NHIT

GDPR is about the data privacy, while blockchain is about public information sharing. The rule of GDPR is based on law and authority, at the same time the rule of the blockchain is based on protocols, described by logical statements enforced by peer-to-peer consensus protocol — no hierarchy and no authority at all. The major task of eIDAS is to prove that the data belongs to someone, while the major task of GDPR is to prove how data not belonging to any natural person shall be analyzed. Finally, the major task of blockchain is to ensure decentralized trust and rule enforcement. They are so different. Do they have a chance to cooperate?

Who takes the blame? - Cogs of the Security Machine

  • Máté Fodor - Information Security Consultant, PR-AUDIT

[Video] [Slides]

The more companies become data-driven, the more emphasis the security of the used data requires. Regulations define the respective roles for the elevation of security and our presentation aims for pinpointing where their responsibilities lie from a practical point of view through the demonstration of more or less favourable precedents.

13:00 - 14:00: NETWORKING LUNCH

14:00 - 16:00: TOPIC 3 – Establishing the Free Movement of Data – Possible solutions

Presentations of the session will introduce the potential that lays in the Data Economy by showing best practice cases from the industry that have already been validated by the market. Everyone can profit from the Data Economy if we are ready and open to introducing already proven solutions or if we create our own practices. GDPR, Industry 4.0 and data-driven decision making are all buzzwords which – when used to their full potential – can effectively make a profit for our organization despite today’s fast-moving and ever-changing customer demands.


Build a strong data supply! But based on internal data demand.

  • Gergely Szertics professional - Digitalcompass

[Video] [Slides]

Most companies have some kind of centralised Enterprise Resource Planning (ERP) system upgraded (or downgraded) with a regiment of excels. So companies can process data, can elaborate the rules and processes to use connections within an integrated system. But they often struggle with the amount of work that is needed for data collection and the quality of the data. Sometimes they dream about projects of investing in putting sensors to every corner or make people administer all details, but it seems to be too expensive. We are going to cover the principles of rational data collection based on things that are missing for good decision making instead of based on what could be collected, and the typically neglected sources of data.

More SMEs likely to adopt Business Intelligence (BI) - Trends for 2018!

  • Bence Arató - Managing Director of BI Consulting Hungary

SMEs do not have deep and endless pockets like the large corporations; they cannot afford even small mistakes. They need to keep innovating to remain competitive at all levels. To fuel innovation within the organisation, it's necessary to have a sound enterprise intelligence strategy in place.
This makes Business Intelligence (BI) a very important tool in today's continually changing market scenario. BI solutions help organisations to transform information into intelligence which in turn can fuel innovation and help organisations to leap frog their competitors.

Building a recommendation engine on a real time data warehouse with streaming data

  • Zoltán Biczó - Fellow / Data Sciences - Stratis Ltd.


Spotify, Netflix, Amazon, YouTube: what is the common element? Their business model is greatly relying on advance analytics, based on artificial intelligence. This, however is no longer the privilege of tech giants. Our presentation is a case study of creating, implementing and operating a cloud based real time streaming data warehouse, and a machine learning based recommendation engine on top of it.

Chatbot ethics, privacy and compliance

  • Ákos Deliága - Talkabot

[Video] [Slides]

Conversational user experience and mass personalization are hyped trends which are enabled by artificial intelligence and chatbots. Such tools speak with thousands of users simultaneously generating 10s of millions of conversations every month. How does an ethical chatbot behave? How’s privacy and compliance handled? Ákos Deliága the managing director of Talk-A-Bot, a leading enterprise chatbot provider in CEE region will share practical experience and use cases.

BI for everyone: Challenges of a pharmaceutical company of providing insights to the salesforce as well as the CEO

  • Dr. Gregor Hesse – head of Data Science, Vifor Pharma, Switzerland
  • Dr. Gergely Babos – head of Consulting Services, EiSYS, Hungary

[Video] [Slides]

Data scientist build bridges between inhomogeneous, complex data of an organization and the end users who are usually in lack of IT knowledge. The presentation will introduce the solution of Vifor Pharma to collect, understand and visualize data using fresh visualization techniques with the support of EiSYS

REACH - The Core of Smart Factory

  • Balázs Bojkó - Specialist for Machine Learning in Manufacturing Engineering at Mortoff IT Consulting and Services Ltd.

[Video] [Slides]

Manufacturing operations mostly rely on traditional best practices established in several years or decades. Launching the REACH-I4 platform at any company challenges this conservative approach and requires a fresh and cooperative mindset from workers, engineers and managers. Besides combining unique Big Data and engineering know-how, we also help our partners to see the big picture, define the proper road map and monetize their data.

16:00 - 16:05: CLOSING REMARKS

  • Gábor Gágyor, IVSZ

16:05 - 17:00: NETWORKING COFFEE