Main current data science and artificial intelligence advancements and challenges
Data Science and Artificial Intelligence play a major role in the nowadays fourth industrial revolution of Robotics, Artificial Intelligence and big Data. The purpose of this editorial is to identify the progress, the trends, the open problems and challenges of these research fields in a comprehensive way, so that an overview is provided that would help researchers and practitioners in their research and development orientations. A lot of research and development efforts since many years have brought Data Science and Artificial Intelligence in a good shape and level of maturity. These technologies have proved to be realizable in a wide range of real world applications with considerable success. Although the analytical theories they are based on are not all in mature level, however, their black box implementations have been very promising so far with real improvements in real world systems performance and usability. At this stage of development such an emergent revolution in all aspects of life demands a careful thinking to discriminate hype from real achievements. This is the major goal of this editorial, to start such a discussion since hype has been a serious obstacle, many times at the past, for real technological advancements. Filtering hype and revealing reality in these fields requires much effort and extensive studies in all application fields and it is not possible within this editorial. We plan more publications in depth regarding this issue. This editorial should be considered only as a first small step towards this goal. Starting from current major trends of Data Science and aspects of Artificial Intelligence
Keywords:Data Science, Artificial Intelligence, 4th Industrial revolution, Technology and Business Trends.
OECD (2012), OECD Environmental Outlook to 2050: The Consequences of Inaction, OECD Publishing, Paris, https://doi. org/10.1787/9789264122246-en
Sophia Aparicio, João Tiago Aparício and Carlos J. Costa, Data Science and AI: Trends Analysis, June 2019, DOI:10.23919/ CISTI.2019.8760820, Conference: 2019 14th Iberian Conference on Information Systemsand Technologies (CISTI). DOI: https://doi.org/10.23919/CISTI.2019.8760820
Joao Tiago Aparicio, Mario Romao, Carlos J. Costa, “Predicting Bitcoin prices : The effect of interest rate, search on the internet, and energy prices”, 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pp.1-5, 2022. DOI: https://doi.org/10.23919/CISTI54924.2022.9820085
Reihaneh Hajishirzi, Carlos J. Costa, “Artificial Intelligence as the core technology for the Digital Transformation process”, 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), pp.1-6, 2021. DOI: https://doi.org/10.23919/CISTI52073.2021.9476607
Carlos J. Costa, João Tiago Aparicio, “POST- DS: A Methodology to Boost Data Science”, 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), pp.1- 6, 2020. https://www.zucisystems.com/ webinars/ DOI: https://doi.org/10.23919/CISTI49556.2020.9140932