This year we decided to expand our Program and to include Panel Discussions on various topics. Our goal is to expand the theme of the conference and to give additional valuable insights through different forms of storytelling.
Have you ever had a thought to start your own Data Science startup? If you had, have you thought about what your Data Science startup would do, how your hard work can be turned into monetization, what are the obstacles and what are the benefits?
In this panel discussion we shall hear more about what hides behind the story of the world of Data Science startups.
The first time the concept of Blockchain was introduced was in the beginning of the 90’s, but it had a full worldwide debut in 2009. An anonymous person or group known as Satoshi Nakamoto has implemented the first disturbed blockchain in 2009 as a core component of bitcoin where it serves as the public ledger for all transactions. Now, we are living at a time of a true revolution, where we can see that blockchain can have its implementation in the medical sector, sector of fraud detection or even voting system.
In this panel discussion we shall hear what blockchain initiatives we have currently in Serbia, what are the trends in the world and what are the practical examples of how blockchain can be used.
The first Data Science program in Europe was created in Switzerland in 2011. From that point on we have seen that many higher education institutions have developed or shaped their existing programs to fit the needs of the modern definition of Data Science. Also, we can see a surge of a lot of non-formal programs such as MOOC via Coursera, edX, Datacamp and platform such as Springboard where people can get a knowledge and career path toward becoming a Data Scientist.
In this panel discussion we shall hear what are the difference between formal and non-formal education in the field of Data Science, as well as how does a career path of the person who is in charge for creating a new breed of Data Scientist look like.
AI has a tremendous impact on our daily lives. Even the definition of AI has changed over time. In the 80’s AI was described as something similar to today’s SMART phones, while nowadays we are speaking about in terms of Liquid Democracy, Chat Bots that are helping us to vote on the elections or even if AI has it own rights.
In this panel discussion we shall hear from recognized experts from the field of AI on how AI is impacting our lives and what expects us in the imaginative future of AI.
Gender equality is one of the backbone values of the Data Science Conference. Women have a tremendous contribution in the development in the field of IT and science in general, but somehow it feels that we don’t give them enough credit for it. We have a beautiful chance to build from scratch a gender equal ecosystem and to support the principles of the same.
In this panel discussion we shall have the honour to hear the stories of data scientists and their road to success.
The General Data Protection Regulation (GDPR) is a regulation by which the European Parliament, the Council of the European Union and the European Commission intended to strengthen and unify data protection for all individuals within the European Union (EU). It also addresses the export of personal data outside the EU. The GDPR aims primarily to give control back to citizens and residents over their personal data and to simplify the regulatory environment for international business by unifying the regulations within the EU.
In this panel discussion you will hear regarding it implementation and what effect can have on doing business. Because of specific thematic this panel will be held in a more of Q&A setting, with one panelist and a longer time provided for questions from the audience.