“Gilles Babinet puts data, AI, and platforms at the service of a useful, sober, and sovereign economy.”
Gilles Babinet
Speaker
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business owner
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Consultant
Gilles Babinet is a serial entrepreneur and a leading figure in digital transformation, known for his ability to connect technology, business models, and the common good. The first president of the French National Digital Council (CNNum) and France's Digital Champion to the European Commission, he advises public and private decision-makers on data, AI, and platform strategy. As an author and speaker, he provides practical frameworks for achieving transformations that are meaningful, efficient, and opportunity-creating.
Gilles Babinet
A serial entrepreneur and a figure of digital transformation in France, Gilles Babinet is recognized for his ability to connect technology, business models, and the public good. The first president of the National Council of Digital, he was later appointed as Digital Champion of France to the European Commission, a role in which he enlightens public policies and promotes the opportunities of an inclusive digital society. A self-taught individual, he founded a first company specializing in high-altitude work at an early age, then went on to create nine different businesses in various fields: industrial design (Absolut Design), mobile music (Musiwave), co-creation (eYeka), data & BI (Captain Dash)… A trajectory that provides a concrete perspective on disruption and cycles of innovation.
As head of CNNum, he directs efforts towards e-education, open data, digital taxation, or competitiveness, anticipating the impact of platforms and data on all public and private organizations. This ability to
Digital Transformation: The Rise of Platforms
- · The platform revolution is not an "update" of organizations: it changes the way value is created, decisions are made, and cooperation happens. Through concrete examples, Gilles Babinet demonstrates how platform logic (network effects, APIs, data, user experience) disrupts the value chain, cost models, and customer expectations.
- · He provides a straightforward reading framework for general management and business lines: where are your network effects? what raw and enriched data feed your products? what technical standards should you adopt to "plug in" your partners?
- · On the management side, he describes the shift from siloed organizations to product teams focused on usage, with decisions based on data and a shortened time-to-market.
- · Finally, he proposes a pragmatic roadmap: map usage opportunities, prioritize two or three "product bets," build data governance, and establish a culture of experimentation that reduces risk while accelerating learning.
Big Data: Thinking of man and the world differently
- · Data has become a productive asset just like machines or financial capital. But the challenge is not to "collect more": it's to better formulate questions to extract useful signals for decision-making. Gilles Babinet clarifies what Big Data is (and isn't), illustrating concrete gains in health, city planning, industry, agriculture, and marketing.
- · He addresses social and ethical dilemmas: privacy, bias, explainability, transparency. Far from caricatures, he explains how proportionate governance frameworks can combine performance and trust.
- · On the implementation side, he details a lean target architecture: data quality, MDM, catalogs, feature stores, and above all the business-data alignment through "quick wins" use cases that finance the follow-up.
- · The conference concludes with a four-step method: (1) prioritize 5 use cases with quick ROI; (2) industrialize reusable data components; (3) train business units in evidence-based management; (4) establish a credible and operational data ethics committee.
IA & Green IA: from promise to measurable impact
- · Beyond the hype, AI becomes a complexity buffer: predictive maintenance, energy optimization, logistics planning, eco-design, anomaly detection. Gilles Babinet shows how to connect AI and environmental performance, with indicators of sobriety and impact.
- · He clarifies the true cost of AI (data, computing, prompts/products) and presents strategies for sobriety by design: frugality of features, distilled models, edge inference, reuse/transfer learning.
- · For leaders, he proposes a selection matrix : priority to use cases with high CO₂/€ materiality and short iteration loops, governed by a multidisciplinary AI product team.
- · Finally, he addresses risks (hallucinations, security, intellectual property) and responses: responsible usage policies, contractual frameworks, and the establishment of double materiality indicators (business + climate) to manage deployments.
Digital sovereignty, cybersecurity, and GDPR: protecting without hindering
- · Technological dependencies expose our businesses and our institutions. This conference outlines the risk landscape: cloud dependencies, software supply chain, data leaks, extraterritoriality. It proposes guidelines to enhance resilience while maintaining innovation agility.
- · Gilles Babinet explains how to integrate privacy by design and turn GDPR into a competitive advantage (data quality, customer trust, traceability)
- · He details a "trust architectures" approach: segmentation, zero-trust, encryption, secret management, oversight, security of AI models.
- · Cornerstone: clear governance (role of the CISO/DPO, risk committees, supplier clauses) and applying cyber hygiene to professions, with regular exercises, to make security a collective competence.
Platform state & public policies: reshape public action with digital technology
- · Simplify, open, evaluate: three verbs that summarize the transformation of public action in the digital age. Gilles Babinet presents the levers that allow for improved access to rights, quality of service, and efficiency, drawing on his work and publications dedicated to public policies.
- · He shows how to design readable user journeys, relying on interoperable data and API catalogs while preserving democratic principles.
- · The conference also discusses open data as a vector for territorial innovation, and the role of evidence-based evaluation (randomization, A/B tests, effect indicators).
- · It concludes with a framework plan for decision-makers: unified governance, digital talent factory, sharing of building blocks, and a culture of experimentation that secures agents and improves the delivery of public policies.
From siloed organization to platform logic
Gilles Babinet explains how the platform logic (network effects, APIs, experience) reconfigures the value chain and accelerates innovation. He proposes a simple roadmap: map usages, prioritize a few "products," and govern data. We leave with benchmarks to move from a siloed organization to usage-oriented teams and evidence-based decision-making.
Big Data: the value of the right questions
Big Data Focus: the value comes less from massive collection than from the right questions, the quality and governance of data. Gilles Babinet outlines the concrete gains (anticipation, productivity, personalization) and the safeguards (bias, transparency, explainability). He proposes a four-step approach to launch use cases with a quick ROI and progressively industrialize the data architecture.
IA & Green IA : impact measurable et sobriété
AI becomes a buffer against complexity (maintenance, planning, energy) if it is designed with impact and sobriety indicators. Babinet clarifies the real costs (data, computation, products) and frugal strategies: distilled models, reuse, edge inference. He concludes with a choice matrix to target high materiality use cases business/climate and frame the risks.
Digital sovereignty: protecting without hindering
Digital sovereignty & cybersecurity: mapping dependencies (cloud, supply chain, data) and principles of "trusted architectures." It shows how to turn GDPR into an advantage (quality, traceability, trust) and establish shared cyber hygiene. The video proposes an action plan: clear governance, supplier clauses, regular training, and indicators to protect without hindering innovation.