The two main challenges of this focus area are scaling up, managing the complexity and explainability of algorithms on one hand and taking advantage of the multidisciplinary dimension on the other hand, by combining methods, technologies and uses.
This focus area draws on research teams’ expertise in statistics, mathematics and computer science and close collaboration with the Economic and Social Sciences department.
It brings together a number of teams and sets a framework for multidisciplinary exchange, open to the socioeconomic world, focusing on issues such as image processing, predictive analytics, recommendation systems, anomaly detection, web mining, social network analysis, scaling up and knowledge management.
Teaching and research chairs
Télécom Paris, in partnership with businesses and with support from Fondation Mines-Télécom, contributes to four chairs in the field of data science and artificial intelligence.
Operational AI Ethics program
The Operational AI Ethics program brings together part of the work of four research chairs: NoRDF project, Data Science and Artificial Intelligence for Digitilazed Industry and Services, Explicability of Artificial Intelligence for Money Laundering and Digital Finance.
5 pillars of research
- Bias and fairness
- Governance and Regulation
- AI and Public Interest
As the cornerstone of a Télécom Paris education, the engineering program has evolved significantly over the last few years to keep pace with the rapidly-changing needs of the socioeconomic world. Digital transformation and data-driven management have become a strategic focus for businesses and organizations, and Télécom Paris engineers are equipped with the skills they need to remain in step with this trend.
Every year, a growing number of students choose the « Artificial Intelligence and Data Science » study track, available starting in the second year of the Engineering cycle. It is now one of the most popular study tracks in terms of enrollment.
With its academic partners, Télécom Paris participates in many Master’s programs in the field of data science:
The production of data from networks, connected objects, sensors or industrial processes has largely contributed to the digital transition of companies, which now consider data as a resource in its own right. All of a company’s activities and jobs have now been impacted, resulting in a growing need for training for teams and managers. Télécom Paris offers a variety of training options tailored to meet all needs.
Télécom Paris offers two Post-Master’s Degree programs: a Post-Master’s Degree in Big Data: management and analysis of big data, which has trained 60 professional students a year since 2013, and a new Post-Master’s Degree in Artificial Intelligence which will launch its inaugural class in September 2019.
Specialized Studies Certificates
Télécom Évolution offers two specialized studies certificates, Data Scientist and Artificial Intelligence, both of which are delivered by Télécom Paris, with contributions from ENSTA Paris for the second certificate. In collaboration with École polytechnique d’Assurance, it offers an Executive MBA Data Scientist for Insurance Careers.
Télécom Évolution also offers many inter-company training courses as well as the MOOC, The Basics of Big Data, which enrolls 7,000 learners every session.
The Data Scientists Guide
Télécom Paris worked with its industry partners to develop Data Scientists, the guide to careers in data science.
Télécom Paris Novation Center
Télécom Paris’ incubator has hosted nearly 400 innovative digital start-ups over the last 20 years, some twenty of which use data science and artificial intelligence technologies. Examples of such start-ups include Beyable, Brennus Analytics, Datapred, DCbrain, DreamQuark, Invenis, Predictice, etc.
Teralab is a powerful, flexible and trusted infrastructure. Teralab is the first big data platform to be sponsored by the French government.
Created through the Investissements d’Avenir Program, Teralab aims to provide innovation, research and teaching in the field of big data processing to encourage the adoption of big data technologies. It is run by IMT and GENES in partnership with INSEE.
Data IA Institute
Launched in February 2018, the DATAIA Institute is committed to overcoming the scientific, technological, legal, economic and ethical barriers to data science.
Researchers from Télécom Paris and the 14 member institutions participate in the institute through calls for proposals.
- Stéphane MenegaldoScientific Communication Manager for Chairs and Mastères SpécialisésTélécom Paris
The latest version of leading knowledge database, YagoData Science & AI — 24/06/20Yago 4 is now based on Wikidata and schema.org and contains a total of 50 millions entities.
[Replay Webinar] What are the ethics of artificial intelligence?Digital Trust, Data Science & AI — 03/06/20David Bounie, director of the SES department and Winston Maxwell, director of rights and digital at [...]
Postdocs, a key stage in young researchers’ careersPhD, Data Science & AI — 28/05/20A postdoctoral position, or postdoc, represents a key opportunity for aspiring researchers to broaden their scientific [...]
Best PhD student paper award to Kimia Nadjahi at ICASSP 2020PhD, Data Science & AI — 06/05/20Kimia Nadjahi received the best student paper award for "Approximate Bayesian Computation with the Sliced-Wasserstein Distance".
Scikit-network: Graph analysis in PythonData Science & AI — 05/05/20Scikit-network is a Python package for the analysis of large graphs like social networks, Web graphs and relational data.
The challenges of new technologies in financeDigital Trust, Data Science & AI — 27/04/20The development of new technologies, in particular Artificial Intelligence (AI), used in finance, has strongly [...]
Operational AI Ethics: the new research initiative of Télécom ParisDigital Trust, Data Science & AI — 23/04/20Télécom Paris, has just launched its new multidisciplinary research initiative, bringing [...]
Flexible and Context-Speciﬁc AI Explainability: A Multidisciplinary ApproachDigital Trust, Data Science & AI — 23/04/20Telecom Paris' Operational AI Ethics initiative has just published its first report [...]
EU Encourages Voluntary Tracing Apps, Stresses Privacy SafeguardsDigital Trust, Data Science & AI, Faculty Members — 16/04/20On Wednesday 15 April 2020, the European Commission said that one of the means [...]
For remote or local facial recognition, the ethical issues are not the sameDigital Trust, Data Science & AI, Faculty Members — 09/03/20There are many uses of facial recognition, such as local identity [...]
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