François Chung, Ph.D.

Tag: fujitsu

Trends debate: technology and privacy

Trends debate: technology and privacy

Fujitsu project @Brussels, Belgium (2020). In the midst of the Covid-19 pandemic, and the development of contact tracing applications to help track and stop the spread of the coronavirus, Trends organized an online debate around technology and privacy entitled: “Does saying yes to technology mean saying no to ethics and privacy?”. The debate has been published as an article in Trends, which is a Flemish financial-economic magazine presenting analyses of current economic, political and social news.

Participants in this debate, who are experts in technology, ethics, privacy or legislation, are representing the following organizations:

  • Atos;
  • Everest Law;
  • Fujitsu;
  • Icapps;
  • Ministry of Privacy;
  • Nutanix;
  • Privaco;
  • SiriusLegal;
  • Universiteit Gent.

The main topics of discussion around this debate are as follows:

  • Should a contact tracing application be considered as a Pandora's box whose consequences cannot be estimated?
  • Is GDPR sufficient as a security mechanism? Or do we need to develop a clearer framework to regulate the potential misuse of technology?
  • To what extent does fragmentation, at political, geographic or economic level, hinder the efficiency of contact tracing applications requiring a global reach to be efficient?
  • Who decides what can be allowed with the possibilities offered by the technology? And how can we enforce that?
  • What is the correct mechanism to determine when a technology is needed? And when can a market be considered as ready?

As a Digital Business Analyst representing Fujitsu for this debate, I shared Fujitsu’s vision and values regarding technology and privacy in the context of the global Covid-19 pandemic, with topics such as working from home (technologies and benefits), extending the legal framework, including GDPR, to regulate Artificial Intelligence and building a human centric future with ethical technology. The debate has been published as an article in Trends on 13th August 2020.

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DataNews 2020 – Magazine article

DataNews 2020 (FR) – Magazine article

Publication

François Chung; Combler le fossé quantique, aujourd’hui; DataNews, 2, p. 5, 2020.

Abstract

L’informatique quantique permettra de solutionner des problèmes complexes, impossibles à résoudre avec les ordinateurs d’aujourd’hui. Le Digital Annealer de Fujitsu offre une alternative à l’informatique quantique encore trop coûteuse et difficile à exécuter.

References

Publication

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Quantum computing and physics (Udemy training)
DataNews 2020 (NL) (magazine article, Dutch version)
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DataNews 2020 – Magazine article

DataNews 2020 (NL) – Magazine article

Publication

François Chung; De kwantumkloof dichten, vandaag de dag; DataNews, 2, p. 5, 2020.

Abstract

Kwantuminformatica biedt een oplossing voor complexe problemen, die niet kunnen opgelost worden met de huidige computersystemen. De Digital Annealer van Fujitsu biedt een alternatief voor de kwantuminformatica, die momenteel nog te duur en te moeilijk uit te voeren is.

References

Publication

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Quantum computing and physics (Udemy training)
DataNews 2020 (FR) (magazine article, French version)
Digital Annealer (Fujitsu project)

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Digital Annealer

Digital Annealer

Fujitsu project @Brussels, Belgium (2019). Using a digital circuit design inspired by quantum phenomena, Fujitsu’s Digital Annealer (DA) computational architecture bridges the gap to the quantum world and paves the way for much faster, more efficient solving of today’s business problems. The solution is designed to solve large-scale combinatorial optimization problems, which are unsolvable using today’s classical computers.

Among the various quantum computing methods that exist in the market today, DA is categorized as an example of the annealing method, which focuses on solving combinatorial optimization problems and the achievement of successful results with rapid operational capabilities. Unlike classical computers, Digital Annealing does not require programming, simply setting parameters allows calculations to be performed.

DA solution is applicable for a wide range of use cases, across various sectors, such as:

  • Finance: investment portfolio optimization through risk diversification;
  • Pharmaceutical: molecular similarity search for drug discovery;
  • Marketing: clustering for big data utilization;
  • Logistics: route optimization for reducing traffic congestion;
  • Manufacturing: manpower management, production control scheduling.

Within the Digital Business Solutions (DBS) team, my role consists in supporting DA activities in Belgium and across EMEIA region, and includes tasks related to presales (e.g. DA solution presentation), business analysis (e.g. analyzing client’s business needs), data science (e.g.converting optimization problems into mathematical formulation) and project management (e.g. project coordination during the implementation phase).

References

Related articles

Quantum computing and physics (Udemy training)
DataNews 2020 (FR) (magazine article, French version)
DataNews 2020 (NL) (magazine article, Dutch version)

Learn more