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.
Research
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.
Key figures
HI! PARIS
In September 2020, the Institut Polytechnique de Paris and HEC Paris created Hi! PARIS, an interdisciplinary research and teaching center dedicated to artificial intelligence and data. Hi! PARIS aims to become one of the leading international centers in these fields within five years, addressing the main challenges related to technological transformation and its impact on business and society.
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
- Explainability
- Liability
- Governance and Regulation
- AI and Public Interest
Initial training
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:
- Master’s in DataScience led by École polytechnique
- Master’s in Mathematics, Vision, Learning (MVA) led by ENS Paris-Saclay
- Master’s in Data Management in a Digital World (DataScale) led by Université Versailles Saint Quentin en Yvelines
- Master’s in Data & Knowledge (D&K) led by Télécom Paris
Continuing training
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.
Post-Master’s Degrees
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.
Innovation
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 platform
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.
Contact
- Stéphane MenegaldoScientific Communication Manager for Chairs and Mastères SpécialisésTélécom Paris
Latest news
Shedding some light on black box algorithms
Data Science & AI, Faculty Members — 07/04/2021Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, both at Télécom Paris, [...]
Open research positions in AI ethics
Digital Trust, Data Science & AI — 31/03/2021Télécom Paris, France’s leading engineering school for digital technology, is looking for PhD candidates and [...]
Interpretability, Accountability and Robustness in Machine Learning
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Federated learning: the privacy-friendly artificial intelligence?
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Do machines understand what they read?
Digital Trust, Data Science & AI — 22/10/2020One of the challenges of natural language processing (NLP) is to get the meaning right. Subtle changes in a sentence can [...]
Explainability and fundamental rights
Digital Trust, Data Science & AI, Faculty Members — 16/10/2020When does the law require an algorithmic decision to be explained? A number of laws (GDPR, competition law, [...]
Isabelle Bloch, Professor at Télécom Paris, EurAI Fellow
Data Science & AI, Faculty Members — 08/10/2020She was promoted for her research in the field of artificial intelligence, and in particular hybrid AI.Four positions opened to work on extracting complex information from natural language text
Data Science & AI — 02/10/2020We are looking for two PhD, one Postdoc, and one Research Engineer.
To simplify AI regulation, use the GDPR’s high-risk criteria
Digital Trust, Data Science & AI, Faculty Members — 22/09/2020There are a multitude of contexts where we would expect an AI application to be [...]
Facebook: German Supreme Court reopens the way for data regulation under competition law
Digital Trust, Data Science & AI, Faculty Members — 10/09/2020The "Facebook" saga in Germany has a new twist after the [...]
Forthcoming events
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