“"The real value of AI lies not in the algorithms, but in the uses we make of it."”
Alexia Audevart
Alexia Audevart is a leading figure in artificial intelligence in France. A data scientist, author, and speaker, she has established herself as one of the most insightful and accessible voices on AI, machine learning, and deep learning. She is the founder of Datactik, a company specializing in data valorization and AI literacy for businesses, institutions, and the general public.
Alexia Audevart has built her expertise at the intersection of data science, big data, and cognitive sciences. Her approach is based on the desire to make AI understandable and useful, highlighting its concrete applications and impacts on society. Recognized for her expertise, she is among the “Google Developer Experts” in machine learning and has been ranked among the 100 French people shaping AI by L’Usine Nouvelle.
This dual label recognizes her role as a pioneering and leading popularizer in the French-speaking digital ecosystem. Her passion for sharing and pedagogy has led her to speak at numerous events: TEDx La Baule, Salon de la Data, Devoxx France, Futurapolis, Scientilivre, as well as in companies, universities, and grandes écoles. She is also the president of the Toulouse Data Science meetup, one of the most active in France with more than 2000 members.
The author of two significant works, she co-wrote with Magaly Alonzo Apprendre demain – Quand intelligence artificielle et neurosciences révolutionnent l’apprentissage (Dunod, 2019), a book praised for its pedagogical clarity, and contributed to the technical work Machine Learning Using TensorFlow Cookbook (Packt, 2021), aimed at data scientists and engineers. Today, Alexia Audevart puts her energy towards a dual objective: supporting organizations in their digital transformation and helping everyone understand and anticipate the future. She embodies a humanistic approach to artificial intelligence: accessible, responsible, and focused on innovation in service of humanity.
Journey into the world of artificial intelligence!
- · L’intelligence artificielle fascine autant qu’elle inquiète. Dans cette conférence, Alexia Audevart propose un voyage immersif dans l’univers de l’IA. Elle commence par rappeler les origines de cette discipline, des premiers algorithmes aux récentes révolutions du deep learning, pour montrer à quel point l’IA est déjà présente dans notre quotidien.
- · À travers des cas d’usage concrets dans la santé, la finance, l’éducation ou encore l’immobilier, elle met en lumière la diversité des applications déjà en cours. Elle insiste sur la manière dont ces innovations transforment les métiers, les organisations et les relations humaines.
- · Alexia n’élude pas les enjeux éthiques : biais algorithmiques, transparence des modèles, régulation européenne… autant de sujets qui doivent accompagner la diffusion massive de ces technologies.
- · Le public repart avec une vision claire et accessible de l’IA, débarrassée des mythes et des fantasmes, et surtout avec des clés pour comprendre comment anticiper et saisir les opportunités qu’elle représente dans un monde en profonde mutation.
Learn Tomorrow: AI and Neuroscience Serving Education!
- • Et si l’intelligence artificielle et les neurosciences ouvraient ensemble une nouvelle ère pour l’apprentissage ? Dans cette intervention inspirée de son livre Apprendre demain, Alexia explore les ponts entre les réseaux neuronaux biologiques et artificiels.
- • Elle explique comment les découvertes des neurosciences éclairent la façon dont les machines apprennent, mais aussi comment l’IA peut aider les humains à mieux apprendre, à mémoriser et à personnaliser leur formation. Des exemples concrets dans l’éducation et la formation professionnelle viennent illustrer cette symbiose homme-machine.
- • Alexia Audevart souligne également les risques et les limites : sur-sollicitation cognitive, dépendance aux outils numériques, enjeux éthiques autour du transhumanisme. Elle plaide pour un usage équilibré, humaniste et inclusif.
- • Cette conférence permet de comprendre que l’avenir de l’éducation ne se résume pas à l’opposition entre l’homme et la machine, mais bien à une collaboration fertile, ouvrant la voie à des apprentissages plus efficaces, plus personnalisés et plus accessibles.
Artificial intelligence at the service of tomorrow's health!
- · Medicine is undergoing a true revolution thanks to artificial intelligence. Alexia Audevart presents the profound transformations of health in the digital age: precision medicine, algorithm-assisted diagnosis, prevention through big data analysis.
- · She explains how AI allows us to move towards a “4P” medicine: preventive, predictive, participative, and personalized. Patients become actors of their health, while professionals benefit from increasingly efficient decision-support tools.
- · However, this evolution raises new questions: who is responsible in case of an algorithm error? How to protect health data, among the most sensitive? How to ensure equitable access to these innovations?
- · Through this conference, Alexia Audevart offers a comprehensive overview of the health of tomorrow, between extraordinary promises and challenges to be met, inviting the audience to reflect on the role of humans in a medical system transformed by data.
AI and justice: towards a digital revolution in law!
- The legal world is not escaping the wave of artificial intelligence. Alexia Audevart explores LegalTechs and predictive justice, capable of analyzing thousands of decisions to anticipate verdicts or enlighten lawyers in their strategy.
- She highlights the opportunities offered: optimization of case handling, easier access to legal data, greater transparency. But she does not ignore the risks: manipulation of digital evidence, invasion of privacy, loss of judges' independence in the face of statistics.
- This intervention puts into perspective the role of new technologies in the evolution of legal professions and the transformation of the jobs of lawyers, magistrates, or notaries.
- In conclusion, Alexia Audevart proposes a reflection on the necessary balance between innovation and democratic guarantees, so that AI becomes an ally of justice without betraying its essence.
Become a "data-driven" organization!
- Data is today the new oil of the digital economy. In this conference, Alexia Audevart shows how businesses can leverage their data to improve their performance, innovation, and competitiveness.
- She outlines the necessary steps: collection, structuring, visualization, setting up big data architectures, and adopting appropriate machine learning methods. She also emphasizes the importance of data culture and training employees.
- Alexia Audevart shares concrete feedback on how companies, from SMEs to large groups, have managed to transform their data into levers of innovation.
- This presentation provides tools and practical methods to successfully engage in a transformation towards a truly data-driven organization, capable of facing the challenges of tomorrow.