Diego
Piacentini
Marc
Portier
Diego Piacentini was the Extraordinary Commissioner for the Digital Transformation of the Italian Government, reporting directly to the Prime Minister (2016-2018). In that role, he was also a member of the Science Technology and Innovation Expert Advisor group at the OECD (2017-2018) and the eGovernment Steering Board of the European Commission's DG Connect (2016-2018). He also led for the Italian Government the Innovation7@G7 (Turin, September 2017), where he pioneered the working group on the use of Artificial Intelligence in government.
The core of his business career was with Amazon and Apple, the majority of which was at Amazon (2000-2016) as Senior Vice President of the International Consumer Business and member of the senior executive team reporting to Jeff Bezos. Prior to that, Diego joined Apple Computer Italy (1987), and was General Manager and Vice President of Apple EMEA from 1997-2000.
Diego is currently a member of the Boards of Directors of DoorDash, The Economist Group, Voi Technology and Apolitical, a learning and networking platform for government. He is an Advisor for KKR and Exor Ventures and is an informal advisor/mentor to many startups across Europe, US, India and other parts of the world. He is the Founder of View Different, an investment vehicle that supports entrepreneurs looking to scale their business and/or expand beyond their domestic markets.
His NGO affiliations include: mentor for Endeavor Global and board member of Endeavor Italy, which he co-founded in 2016; the Institute of Health Metrics and Evaluation (IHME), an independent global health research center at the University of Washington; and the Maasai Association, supporting education and health initiatives in Kenya.
Diego graduated with a Bachelors of Science degree in Economics from Milan-based University Bocconi in 1985.
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 1
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators:
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 2
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators:
Public Sector Authority
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 1
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators:
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 2
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators:
Since 2020 Marc works as the Open Science Team lead in the Flanders Marine Data Centre (VMDC) at VLIZ.be. His team strives to translate the open collaborative DNA at VLIZ into practical "Open Science" solutions. We aim to reduce the cost of interoperability by advocating and adopting Linked Open Data and Knowledge Graph technologies. They allow to interlink both raw data and conclusions from the various highly specialised research domains.
Prior to his job in Open Science, Marc built up +25 years in software systems engineering and team management. He has done this in various domains (telecommunications, content management, government administration, marine research), for a wide range of organisation types (NPO, industry, startup, government agency to open source collaborations) and under various roles (employee, entrepreneur, consultant, activist and volunteer). The common recurring theme in this has been the adoption and advancement of the «open» movement in its many forms.
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 1
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators:
Cross-border Semantic Interoperability: From Models Discovery and Design to Implementation and Reuse - part 2
STUDIO 214+216
Are you sure?
Do you want to register for this session?
The workshop explores the various stages of the data model lifecycle. We'll discuss what resources are currently available for reuse and delve into the authoring of new models while avoiding common quality pitfalls. Additionally, we'll examine the role of automation and AI in this process. Once models are developed, we'll consider how they can be made discoverable and accessible for future reuse. Given that these models serve a variety of user profiles, we'll also cover strategies for documenting them in an accessible manner for all beneficiaries. Finally, we will address the practical application of these models in the operational setting of a data space.
Throughout the session, industry experts will share their insights, detailing the processes they employ and the tools they develop and use to facilitate their work.
Moderators: