Natalia
Zylinska Puta
Natalia Zylinska Puta
IT Portfolio Manager
Brussels | Belgium
Biography
Natalia Zylinska Puta, MSc, is an engineer, working since 2010 in the digital health domain. Currently, she is Commission Official working in DG SANTE IT Unit as IT Portfolio Manager for European Health Data Space central IT systems. Those are HealthData@EU EU Dataset Catalogue, European Digital Testing Environment for Electronic Health Records systems, and the European Database of interoperable EHR systems and wellness applications. Between 2016-2021, she worked as Seconded National Expert in DG SANTE Digital Health Unit to facilitate the design and development the MyHealth@EU system, which is enabling the cross-border exchanges of structured and translated ePrescription and Patient Summaries, according to the EU Digital guidance. Natalia Zylinska-Puta has started her career in 2010 in the Ministry of Health of the Republic of Poland where she was involved in preparation of national legislation in the domain of healthcare information system and supervising the work of the eHealth government entities. In 2014, she joined the Polish eHealth Agency, to work on the technical implementation of digital health systems for national ePrescription, Patient Summary, and Electronic Health Record. Additionally, she supervised the work (as project manager) on national systems for Managing the development of the IT System for Reimbursed Drugs, and IT System for Drugs Direct Import.
Organisation
DG SANTE IT Unit
EU institution
Speaker session
AI in support of Interoperability - part 1
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
AI in support of Interoperability - part 2
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
Parallel Track 5 (Technical): Solutions for interoperability in and between data spaces
SILVER HALL
Making data sharing between heterogeneous stakeholders possible - supporting building sectoral and cross-sectoral cross-border digital public services and policies with a holistic view
Moderation:
Alberto Abella
Data Modelling Expert
Madrid | Spain
Biography
Speaker session
AI in support of Interoperability - part 1
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
AI in support of Interoperability - part 2
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
Parallel Track 5 (Technical): Solutions for interoperability in and between data spaces
SILVER HALL
Making data sharing between heterogeneous stakeholders possible - supporting building sectoral and cross-sectoral cross-border digital public services and policies with a holistic view
Moderation:
Mark Boris Andrijanic
Governing Board Member
Ljubljana | Slovenia
Biography
Mark Boris Andrijanič serves as the Vice President of Kumo.AI, a deep learning venture based in California and backed by Sequoia Capital. He is also a Senior Fellow at the Atlantic Council and a member of the Governing Board of the European Institute of Innovation and Technology (EIT), the EU's innovation agency.
In 2021 and 2022, he served as Slovenia's first-ever Minister of Digital Transformation. During Slovenia's EU presidency in 2021, he led negotiations on the Digital Services Act (DSA) and other European tech regulations. In 2022, Ukraine's President Zelenskyy awarded him the Peace Prize for supporting Ukraine's digital resilience.
Before entering public office, Mark Boris headed Uber's public policy in Central & Eastern Europe. He was also a Visiting Fellow at the Wilfried Martens Centre for European Studies in Brussels, where he focused on the EU's digital and economic policies. He received a law degree from the University of Ljubljana and a Master's in public policy from the University of Oxford, where he also serves on the Alumni Board.
Speaker session
AI in support of Interoperability - part 1
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
AI in support of Interoperability - part 2
STUDIO 211+212
Join us for an engaging and informative workshop session on 'AI for Interoperability'. In this session, experts from the public sector, academia, and industry will share real-life use cases, lessons learned, challenges, and opportunities in this innovative field. We will explore how AI supports interoperability in public services through technologies such as machine translation and document summarization. Additionally, we will delve into the synergy between knowledge graphs and Large Language Models. Our panel of experts will also discuss topics like AI and ML model discovery and reusability, as well as the interoperability of chatbots.
Don't miss this opportunity to gain valuable insights from industry experts and engage in thought-provoking discussions on AI for interoperability and semantics.
Moderators:
- Razvan Radu - Portal and web service, Publications office
- Hans Arents - Professor, UGent
- Florian Barthélemy - Semantic and data consultant, PwC
Parallel Track 5 (Technical): Solutions for interoperability in and between data spaces
SILVER HALL
Making data sharing between heterogeneous stakeholders possible - supporting building sectoral and cross-sectoral cross-border digital public services and policies with a holistic view
Moderation: