Focus on machine learning, data science and AI
The formative initiative of the ‘Business Translator Learning Path’ for the development of the innovative ‘Business Translator’ profession has been launched today. It will act as a bridge between business and data science as well as being an enabler of the use of advanced analytics and artificial intelligence in order to improve business performances and results.
The initiative, presented today in Trieste at Palazzo Berlam, has been launched by the Data Science and Artificial Intelligence Institute “DS-AI Institute”, founded by the International School of Advanced Studies (SISSA), the University of Trieste, the University of Udine, the Abdus Salam International Centre for Theoretical Physics (ICTP), MIB Trieste School of Management and Assicurazioni Generali.
This project, carried out in close cooperation with Generali Group Academy - the Corporate University of the Generali Group, and with the Analytics Solution Centre of the Group, will involve several hundred Group managers on an international level.
The "DS-AI Institute" aims to promote and carry out research activities at a national level and to encourage the transfer of knowledge in the fields of machine learning, data science and artificial intelligence.
The Institute is founded on the excellence of its member organizations in both research and applications of artificial intelligence. The main research topics include the robustness and interpretability of artificial intelligence models, the development of predictive models in sciences by combining machine learning techniques with physical models, and artificial intelligence techniques to support health and life sciences.
Among the planned activities are the promotion and implementation of joint PhD programmes, master’s courses, research programmes, and training initiatives aimed to the upskilling and professional development of students/PhD students/grant recipients/those related to the fields of interest of the Institute.
The Institute also aims to encourage the exchange of information between researchers in the field, including in partnership with other national and international research bodies and with public and private operators applying data science to their corporate and core business objectives. The aim is to develop specific applications and case studies and direct the Institute’s research towards the most relevant sectors for economy and industry to create a virtuous cycle between study and application in the field, in both the public and private sectors.
For this reason, it also provides training programmes to update and bring management closer to the world of data scientists and to train new professional figures capable of successfully addressing the growing needs of the information society, data processing, and decisions based on artificial intelligence and machine learning. A training course in line with the new three-year strategic plan "Lifetime Partner 24: Driving Growth", which has data-driven innovation among its pillars and aims to improve its technical leadership and support future growth by leveraging innovative data analysis skills.
The Institute will work towards creating a new research unit within the European Laboratory for Learning and Intelligent Systems (ELLIS) network.
The administrative headquarters of the Institute will be at SISSA, in Trieste, and the activities will be carried out at the operating centers of the affiliated universities and other partners as well as at other sites available for the Institute’s activities, including in partnership with other organizations.
Among the research projects planned in collaboration with Generali, the first involves the development of methodologies to combine geophysical and mathematical models with artificial intelligence techniques to improve natural disaster risk forecasts. The second will focus on the development of explanatory techniques to understand the ethical implications of decisions made using complex artificial intelligence models such as deep neural networks. The two joint projects with Generali will create new areas of research and training projects for Group managers aimed at seizing the business opportunities offered by Data Science and Artificial Intelligence.
The Dean at MIB Trieste School of Management, Andrea Tracogna, explained: “MIB Trieste School of Management is eager to work alongside outstanding academic and corporate partners and contribute to the success of the Institute by turning the best Data Science and AI models into viable business applications, thus sowing the seeds of the upcoming data-driven revolution in management practices.”
The initiative, presented today in Trieste at Palazzo Berlam, has been launched by the Data Science and Artificial Intelligence Institute “DS-AI Institute”, founded by the International School of Advanced Studies (SISSA), the University of Trieste, the University of Udine, the Abdus Salam International Centre for Theoretical Physics (ICTP), MIB Trieste School of Management and Assicurazioni Generali.
This project, carried out in close cooperation with Generali Group Academy - the Corporate University of the Generali Group, and with the Analytics Solution Centre of the Group, will involve several hundred Group managers on an international level.
The "DS-AI Institute" aims to promote and carry out research activities at a national level and to encourage the transfer of knowledge in the fields of machine learning, data science and artificial intelligence.
The Institute is founded on the excellence of its member organizations in both research and applications of artificial intelligence. The main research topics include the robustness and interpretability of artificial intelligence models, the development of predictive models in sciences by combining machine learning techniques with physical models, and artificial intelligence techniques to support health and life sciences.
Among the planned activities are the promotion and implementation of joint PhD programmes, master’s courses, research programmes, and training initiatives aimed to the upskilling and professional development of students/PhD students/grant recipients/those related to the fields of interest of the Institute.
The Institute also aims to encourage the exchange of information between researchers in the field, including in partnership with other national and international research bodies and with public and private operators applying data science to their corporate and core business objectives. The aim is to develop specific applications and case studies and direct the Institute’s research towards the most relevant sectors for economy and industry to create a virtuous cycle between study and application in the field, in both the public and private sectors.
For this reason, it also provides training programmes to update and bring management closer to the world of data scientists and to train new professional figures capable of successfully addressing the growing needs of the information society, data processing, and decisions based on artificial intelligence and machine learning. A training course in line with the new three-year strategic plan "Lifetime Partner 24: Driving Growth", which has data-driven innovation among its pillars and aims to improve its technical leadership and support future growth by leveraging innovative data analysis skills.
The Institute will work towards creating a new research unit within the European Laboratory for Learning and Intelligent Systems (ELLIS) network.
The administrative headquarters of the Institute will be at SISSA, in Trieste, and the activities will be carried out at the operating centers of the affiliated universities and other partners as well as at other sites available for the Institute’s activities, including in partnership with other organizations.
Among the research projects planned in collaboration with Generali, the first involves the development of methodologies to combine geophysical and mathematical models with artificial intelligence techniques to improve natural disaster risk forecasts. The second will focus on the development of explanatory techniques to understand the ethical implications of decisions made using complex artificial intelligence models such as deep neural networks. The two joint projects with Generali will create new areas of research and training projects for Group managers aimed at seizing the business opportunities offered by Data Science and Artificial Intelligence.
The Dean at MIB Trieste School of Management, Andrea Tracogna, explained: “MIB Trieste School of Management is eager to work alongside outstanding academic and corporate partners and contribute to the success of the Institute by turning the best Data Science and AI models into viable business applications, thus sowing the seeds of the upcoming data-driven revolution in management practices.”
