“"The real value of AI lies not in the algorithms, but in the uses we make of it."”
Alexia Audevart
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!
- · Artificial intelligence is as fascinating as it is worrying. In this conference, Alexia Audevart offers an immersive journey into the world of AI. She starts by recalling the origins of this discipline, from the first algorithms to the recent revolutions in deep learning, to show how much AI is already present in our daily lives.
- · Through concrete use cases in health, finance, education, and real estate, she highlights the diversity of applications already in progress. She emphasizes how these innovations are transforming jobs, organizations, and human relationships.
- · Alexia does not shy away from ethical issues: algorithmic biases, transparency of models, European regulation... so many subjects that must accompany the massive spread of these technologies.
- · The audience leaves with a clear and accessible vision of AI, free from myths and fantasies, and especially with keys to understand how to anticipate and seize the opportunities it represents in a world undergoing profound change.
Learn Tomorrow: AI and Neuroscience Serving Education!
- • What if artificial intelligence and neuroscience together ushered in a new era for learning? In this talk inspired by her book Learning Tomorrow, Alexia explores the bridges between biological and artificial neural networks.
- • She explains how discoveries in neuroscience illuminate the way machines learn, but also how AI can help humans learn better, memorize, and personalize their training. Concrete examples in education and professional training illustrate this human-machine symbiosis.
- • Alexia Audevart also highlights the risks and limitations: cognitive overload, dependence on digital tools, ethical issues surrounding transhumanism. She advocates for a balanced, humanist, and inclusive use.
- • This conference helps us understand that the future of education is not just a matter of opposition between man and machine, but rather a fruitful collaboration, paving the way for more effective, personalized, and accessible learning.
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.