CNIT Forest – Paris
December 5, 2024
1,500+
attendees
500+
companies
40+
sessions
40+
speakers
GenerationAI 2024 is the premier conference dedicated to the forefront of GenAI APIs and Large Language Models (LLM) APIs. This event is your gateway to explore the latest advancements, innovations, and applications in the world of AI, featuring insights from leading experts and visionaries
CIOs, CTO, CDOs, SVPs, VPs, Heads of Innovation, Heads of API, API Architects, Developers, Software Engineers, Infrastructure & Cloud Managers, IT Managers, Product Managers, Consultants & Analysts
Learn from the best about Business Models, Design & Documentation, Lifecycle Management, Security & Identity Management, Testing & Monitoring, Banking APIs and Open Banking, Developer Marketing, Digital Transformation, GraphQL, Microservice Architecture, Mobile & IoT APIs
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Since 2012, 70+ apidays conferences have been organised in 15 countries to cover Banking & Financial Services | Consulting | Energy | Healthcare & Life Science | IT & Technology | Manufacturing & Automotive | Media | Non-profit & Education | Public Sector | Retail | Transport & Hospitality
Join us in Paris on December 5th for GraphQL Days EU as we celebrate 12 years of GraphQL innovation and community. This dynamic event will gather over 1,500 developers, engineers, and enthusiasts to delve into the future of GraphQL. With presentations from industry leaders at companies like Eurosport, Netflix, Criteo, Credit Agricole, 20minutes, Escape, and Apollo, attendees will gain valuable insights and strategies on the latest advancements in GraphQL technology.
After a three-year hiatus due to COVID, GraphQL Days EU returns for its first in-person celebration since 2019. Whether you’re an experienced developer or new to GraphQL, this event offers a unique opportunity to engage with workshops, keynotes, and networking sessions designed to elevate your skills and knowledge.
Set your calendar for December 5th and join us at GraphQL Days EU, colocated with the largest API conference, apidays Paris 2024. Be part of the conversation that shapes the future of GraphQL and connect with the vibrant community driving its growth. Don’t miss out on this extraordinary opportunity to learn, share, and be inspired!
Co-founder & CTO
HeyBilly
Co-founder & CTO - HeyBilly
7 years technical director of Cap Collectif . I am a speaker, teacher and Symfony , React.JS and GraphQL expert , but above all passionate for more than 10 years.
Freelance Expert Graphql / Architecte / DevOps Cloud
Eurosport
Freelance Expert Graphql / Architecte / DevOps Cloud - Eurosport
Lead Front-End Manager & Chief Shitpost Officer
Swan
Lead Front-End Manager & Chief Shitpost Officer - Swan
My name is Matthias Le Brun (aka @bloodyowl), I'm a software engineer from Paris, France.
I'm currently Front-End Lead Manager (& Chief Shitpost Officer) at Swan, where we build embedded banking solutions.
Microcks co-founder
Microcks
Microcks co-founder - Microcks
I am a Cloud Native Architecture expert, an Enterprise Integration problems lover, an Open Source evangelist and Java guru.
My specialties cover:
- Cloud Native Applications design (Kubernetes, OpenShift, Istio and microservices),
- API Design, SOA methodologies and tooling & Enterprise Architecture,
- DevOps practices and Software factories (Jenkins, Maven, Git, Gradle),
- Open Source ecosystems (Apache, Eclipse, Spring, ...),
- Java and JEE containers (JBoss, Karaf, Tomcat)
CEO and Co-founder
Inigo - GraphQL
CEO and Co-founder - Inigo - GraphQL
There is so much to learn and do. I just keep on exploring.
Senior Software Engineer
The LEGO Group
Senior Software Engineer - The LEGO Group
I am a backend software developer.
My love for coding started during first year of university, when I started collaborating with CoderDojo, being a mentor there formed me as the person I am today and helped me finding the right path for me.
I've been working in service desk for several years before realizing my dream to become a Software Developer. I love being able to shape and design solutions and imaging that people will use those products it makes me really accomplished.
My specialties includes quickly learning new skills and programming language, problem solving, mainly backend with java and related framework like springboot and Flutter/Dart, with the last two I am literally in love.
Boardgame Creator
Staff Software Development Engineer @ Criteo
Boardgame Creator - Staff Software Development Engineer @ Criteo
Jérémy Buisson is a Staff Software Development Engineer and board game creator with over 15 years of expertise in design, production, and digital development. Specializing in modern architecture design, cloud infrastructure transitions, and full-stack development, Jérémy excels in implementing advanced APIs and leading teams and projects to success.
CTO
20 Minutes France
CTO - 20 Minutes France
Aurélien Capdecomme is the Chief Technology Officer at 20 Minutes, where he leads the IT development and infrastructure teams. With over 20 years of experience in building efficient and cost-optimized architectures, he has a strong focus on serverless strategy, scalable applications and AI initiatives. He has implemented innovation and digital transformation strategies at 20 Minutes, overseeing the complete migration of digital services to the cloud.
GenAI : The Big PictureAmphi
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Feedback from the field : Real GenAI usecasesAcacia 5
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The GenAI EngineerAcacia 1/2
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Community tracksAcacia 3/4
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GreenAI or AI for Green?Acacia 6
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11:35 am
Moshi : A Speech-Text Foundation Model for Real-Time Dialogue
Neil Zeghidour
Chief Modeling Officer and Co-Founder - Kyutai
12:00 pm
AI and the Future of Humanity : Biopunk or Biohacking? A Panel Discussion
Alain Damasio
Sci-fi Author
Arnaud Auger
Director - Cathay Innovation
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11:10 am
Building with GenAI for Public Service
Ulrich Tan
Head of DataLab and Deputy to the Director - ETALAB
11:35 am
AI Adoption : Engaging Minds, Developing Skills, Delivering Results
Yannick Tremblais
AI/IT Innovation Manager - Groupe Rocher
12:25 pm
Gemini for Workspace - The future of work
Issam Idjerouidene
Google Workspace Specialist - Google Cloud
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11:10 am
Putting the 'Engineering' into Prompt Engineering
Mike Taylor
Prompt Engineer - Author of "Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs" O'Reilly 2024
11:35 am
Speech To Speech : An Effort for An Open-Sourced and Modular GPT4-o
Andrés Marafioti
Machine Learning Research Engineer - HuggingFace
12:00 pm
API Roulette: Betting on the Right Provider in the GenAI Gold Rush
Jean-Louis Quéguiner
CEO - Gladia
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11:35 am
From MLOps to GenOps,A Panel Discussion with the GAIN (GenAI Network)
Anne-Laure Giret
Head of Google Cloud AI GTM, EMEA South - Google
Matthieu Boussard
Head of R&D - Craft AI
Paul Mochkovitch
Co-Founder & Tech Lead - Molia
Samya Barkaoui
GenAI Research Lead - Pigment AI
12:25 pm
Building an AI-first culture in your organisation
Guillaume Simon
Staff Product Manager - Photoroom
David Chriqui
CEO - Mozza
Dounia Zouine
Co-Founder - MEUF (App)
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11:10 am
How AI enables mapping the Anthropocene and informing public policies
Sébastien Soriano
Directeur Général - IGN 🇫🇷
11:35 am
The Challenges of Creating a Competitive AI Infrastructure in Europe
Adrienne Jan
Chief Product Officer - Scaleway
12:00 pm
How AI can serve the environment ?
Gilles Babinet
Author of "Green AI" and Co-Chairman - Conseil National du Numérique and Digital Champion pour la France à la Commission Européenne
12:25 pm
How do we navigate the gap between oversight of information production, responsible governance, and data
Imane Idrissi
Technorealism - Adeo
Arnaud Billion
Phd in Computer Science, AI Researcher - IBM
Henri Albert
Co-Founder & CPO - ROTI.express
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GenAI ResearchAmphi
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GenAI SecurityAcacia 5
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Applications in real lifeAcacia 1/2
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Café IAAcacia 3/4
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Computer VisionAcacia 6
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1:50 pm
Is AI ready for patients? Lessons from 2000 medical conversations with "Mo"
Antoine Lizée
Data & Engineering - Alan
2:15 pm
Thinking about thinking: Metacognitive Capabilities of LLMs
Michal Valko
Principal Engineer, LLama Team, GenAI - Meta
2:40 pm
Gemma : Open Models Based on Gemini Research and Technology
Thomas Mesnard
Research Scientist on Gemma/Gemini - Google Deepmind
3:05 pm
They Said It Couldn't Be Done : Training SOTA LLMs On Fully Open Data
Anastasia Stasenko
Co-Founder and CEO - pleias
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1:50 pm
SmolLM: The Rise of Small Language Models
Loubna Ben Allal
Research Engineer & lead SmolLM - HuggingFace
2:15 pm
Model Extraction : Why You Should Care and How to Protect Yourself?
Marie Paindavoine, PhD
CEO and AI Security Engineer - Skyld AI
2:40 pm
Hybrid AI : Why AI has to move from the cloud to On-Device
George Tsirtsis
Sr. Director of Technology - Qualcomm Europe, Inc.
3:05 pm
From MLOps to GenOps
Christophe Lalevée
Google Cloud Platform (Apigee) Customer Engineering Lead - Google
Matthieu Blanc
Machine Learning Product Specialist (South EMEA) at Google Cloud - Google
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1:50 pm
Bridging Research to Product : AI Innovations into Impact
Mehdi Ghissassi
Chief Product Officer - AI71
2:40 pm
Cadillacs, Condos and Cardigans : Leveraging AI for Consumer Merchandising
Gaétan Rougevin-Baville
CEO - Meero
3:05 pm
Scaling Multilingual Success : Best Practices For Creating Global Websites
Paul Gordon
Product Marketing, API & Partnerships - DeepL
Floran Pagliai
Head of Engineering - Weglot
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2:00 pm
De l’impact des imaginaires sur notre relation à la technologie et à l’IAUne table ronde de 14h à 15h15.
Damien Douani
Educational Innovation, AI, Special Projects at Narratiiv - Podcaster and Presenter of “Chat G Planté, the Price of AI”
Joséphine Corcoral
Secrétaire Générale Adjointe - Conseil National du Numerique (CNNum)
Anne Alombert
Philosophe, membre du Conseil National du Numérique (CNNum)
Hubert Guillaud
Délégué Général - Dans les Algorithmes
Kevin Echraghi
Cofondateur - d’Hérétique
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1:50 pm
Scaling AI for Computer Vision and Image Generation
Guillaume Demarcq
CEO & Co-Founder - Ikomia
2:15 pm
Tips to reduce the pain of image labeling
Sonia Tabti
Artificial Intelligence and Computer Vision Specialist, Ph.D.
2:40 pm
Data Taggants : Detecting Datasets Usage through Neural Networks
Wassim Bouaziz
Machine Learning Research - Meta/École Polytechnique
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AI Agents and AssistantsAmphi
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GenAI ComplianceAcacia 5
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Developer Tools for GenAIAcacia 1/2
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Café IAAcacia 3/4
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Future of WorkAcacia 6
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3:55 pm
Building AI Assistants That Work At Scale : Dust's Approach
Gabriel Hubert
CEO and Co-Founder - Dust
4:45 pm
Build and scale an AI-product in a SaaS solution
Fanny Guélin
Senior Product Manager - Mirakl
Arthur Delaitre
Data Science Manager - AI Catalog - Mirakl
5:10 pm
The future of generative AI: exploring new paradigms
Katia Gil Guzman
Developer Experience - OpenAI
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3:55 pm
AI Evaluation as a Tool for Regulatory Compliance
Carlos Muñoz Ferrandis
Creator of OpenRAIL - Co-Founder & COO at Alinia AI
4:20 pm
Shadow Compliance for AI
François-Xavier Cao
Co-Founder of SpartaAI - AI Legal services at Olympe.legal
4:45 pm
AI Ethics, Trust, and ComplianceA Panel Discussion
Lê Nguyên Hoang
Co-Founder & CEO - Calicarpa
Guillaume Champeau
Legal Director and DPO - Olympe AI
Ramya Chandrasekhar
AI Researcher - CNRS
Jessica Galissaire
Studies and Partnerships Manager - Renaissance Numérique
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3:55 pm
Make Your LLM Infrastructure Serverless
Guillaume Blaquiere
Group Data Architect - Carrefour
4:20 pm
Embeddings : Core Concepts for Developers
Jocelyn Matthews
DevRel, Head of Developer Community - Pinecone
4:45 pm
AI Assistants Hands-on! Building with Prompts & Agents
Marie-Alice Blete
AI Engineer at Komodo Health - Digital Expert AI at Collège Numérique France 2030
5:10 pm
Smarter AI, Smaller Models and Reinforcement Learning
Julien Petit
Founder - Mighty Nine
Anais Monlong
Venture Principal - IRIS
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3:55 pm
2025: AI Winter or Summer? The 3 Bets That Will Change Everything
Nicolas Guyon
IA Générative, Formation IA, Podcast, Speaker, Investisseur, Mentor - Comptoir IA
4:20 pm
Why the AI + Automation + NoCode maximizes the return on investment of GenAI?
Francis Lelong
CEO - Alegria.tech
4:45 pm
How thriving is the AI hub ecosystem
Mehdi Triki
Head of Public and Institutional Relations - Hub FranceIA
5:10 pm
AI in autonomous vehicles. DeepLearning challenges. Ethical issues.
Daniel Vahos Mendoza
AI Engineer - Valeo
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CTO - Scaleway
This presentation critically examines the current discourse surrounding Large Language Models (LLMs), challenging prevailing narratives from both enthusiasts and skeptics. Drawing from a dual perspective as an AI governance professional and a machine learning researcher specializing in generative AI, the talk bridges regulatory concerns and technical realities. It focuses on distinguishing between hype and actual potential of LLM technology, while examining the disparity between imagined risks and actual harms associated with LLMs.
The discussion offers evidence-based insights into the ethical and practical challenges in the field, introducing effective practices for LLM implementation with emphasis on agentic workflows. By providing a grounded analysis that challenges common assumptions, this talk aims to contribute to more effective strategies for navigating the complexities of LLM development and governance, encouraging a reevaluation of current approaches in both areas.
Core contributor - AI, Algorithmic and Automation Incidents and Controversies (AIAAIC) organization
Co-Founder and CEO - Probabl.ai
I will present moshi.chat, the first real-time conversational voice AI ever released.
Chief Modeling Officer and Co-Founder - Kyutai
Sci-fi Author
Director - Cathay Innovation
Head of DataLab and Deputy to the Director - ETALAB
In this presentation, we will explore how Groupe Rocher is integrating AI through a comprehensive approach that focuses on acculturation, training, and supporting business teams, ensuring that every initiative aligns with the company’s overall strategy. We will discuss how we critically assess the use of AI, prioritize relevant use cases, and empower internal skills to achieve tangible and sustainable results.
AI/IT Innovation Manager - Groupe Rocher
How we leverage LLMs to re-invent the search and matching process at Malt. What benefits with GenAI, what workarounds with the new challenges.
Chief Data & AI Officer - Malt
Google Workspace Specialist - Google Cloud
As a prompt engineer people always tell me it isn't real engineering, or that it's going away in five years, or even that it's already dead. In practice the top model companies and frameworks invest heavily and promote prompt engineering techniques, and new papers are released every weeks showing gains from prompting. There is a big difference however between what Twitter gurus or the average ChatGPT user is doing, and what a prompt engineer actually does day to day to earn the engineering title. To call it engineering you have to be testing how LLMs work at scale, and I'll walk through several practical examples of how to do that, as covered in my book on prompt engineering for O'Reilly and my work on client projects and my own products.
Prompt Engineer - Author of "Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs" O'Reilly 2024
This talk introduces Hugging Face's "Speech-to-Speech" project, an innovative open-source pipeline designed for natural speech interaction with LLMs. The project integrates advanced components such as Voice Activity Detection (VAD), Whisper models for Speech-to-Text (STT), Language Models (LM), and Parler-TTS for Text-to-Speech (TTS) synthesis. We'll explore the pipeline's architecture, emphasizing its modularity and potential applications in areas like real-time translation and accessibility. Attendees will gain insights into the technology's capabilities and future impact communication with LLMs.
Machine Learning Research Engineer - HuggingFace
CEO - Gladia
Technical Specialist - Microsoft
Exclusive reveal of the first cross-functional impact study on AI in business, conducted by the Les EnthousIAtes collective in partnership with KPMG France. Four key functions scrutinized by 80 "C-level" executives from HR, IT, Finance, and Marketing. Get ready for insights tailored to specific sectors but, more importantly, with a game-changing cross-functional perspective! Don’t miss this chance to be ahead of the curve!
Co-Founder - Les EnthousIAstes
Head of Google Cloud AI GTM, EMEA South - Google
Head of R&D - Craft AI
Co-Founder & Tech Lead - Molia
GenAI Research Lead - Pigment AI
CEO - Mozza
Staff Product Manager - Photoroom
CEO - Mozza
Co-Founder - MEUF (App)
In this keynote, IGN's Director General will demonstrate how artificial intelligence is revolutionizing environmental monitoring and territorial analysis in France. The presentation will detail IGN's strategic transformation into a leading AI-powered institution, with ten operational AI systems now supporting critical environmental policies. Through concrete examples like the Zero Net Artificialization (ZAN) monitoring and the FLAIR initiative, the talk will illustrate how AI enables unprecedented insights for public decision-making in ecological transition. The discussion will highlight IGN's journey to becoming a key AI player in the French public sector, supported by a team of 30 AI specialists and significant investments in training data. The presentation will conclude by exploring how these technological advances contribute to building France's digital twin, enabling data-driven environmental policies and climate adaptation strategies.
Directeur Général - IGN 🇫🇷
Chief Product Officer - Scaleway
Author of "Green AI" and Co-Chairman - Conseil National du Numérique and Digital Champion pour la France à la Commission Européenne
Technorealism - Adeo
Phd in Computer Science, AI Researcher - IBM
Co-Founder & CPO - ROTI.express
Data & Engineering - Alan
Reinforcement learning from human feedback (RLHF) is a go-to solution for aligning large language models (LLMs) with human preferences; it passes through learning a reward model that subsequently optimizes the LLM's policy. However, an inherent limitation of current reward models is their inability to fully represent the richness of human preferences and their dependency on the sampling distribution. In the first part we turn to an alternative pipeline for the fine-tuning of LLMs using pairwise human feedback. Our approach entails the initial learning of a preference model, which is conditioned on two inputs given a prompt, followed by the pursuit of a policy that consistently generates responses preferred over those generated by any competing policy, thus defining the Nash equilibrium of this preference model. We term this approach Nash learning from human feedback (NLHF) and give a new algorithmic solution, Nash-MD, founded on the principles of mirror descent. NLHF is compelling for preference learning and policy optimization with the potential of advancing the field of aligning LLMs with human preferences. In the second part of the talk we delve into a deeper theoretical understanding of fine-tuning approaches as RLHF with PPO and offline fine-tuning with DPO (direct preference optimization) based on the Bradley-Terry model and come up with a new class of LLM alignment algorithms with better both practical and theoretical properties. We finish with the newest work showing links between and building on top of them.
Principal Engineer, LLama Team, GenAI - Meta
In this talk we will discuss Gemma, a family of lightweight, open-access language models (2B-27B parameters) built upon the technology behind Google's Gemini. Gemma achieves state-of-the-art performance in language understanding, reasoning, and safety, offering competitive alternatives to models that are 2-3 times bigger
We detail Gemma's development and highlight its strong performance across diverse benchmarks. We also discuss our commitment to responsible release, providing comprehensive safety evaluations and pretrained/fine-tuned checkpoints. Gemma empowers the community with powerful and accessible LLMs, fostering innovation and safer AI.
Research Scientist on Gemma/Gemini - Google Deepmind
Presenting world's first suite of models trained on exclusively open data with permissive licences
Co-Founder and CEO - pleias
On-device large language models (LLMs) are revolutionizing AI by making advanced models accessible in resource-constrained environments. This talk covers SmolLM, a series of compact yet powerful LLMs, focusing on our training process, data curation, and ways to leverage these models for on-device applications.
Research Engineer & lead SmolLM - HuggingFace
Are you deploying on-device AI algorithmes (IoT, mobile, desktop, on-prem)? They are vulnerable to reverse-engineering: a competitor can locate, extract and copy your models in a couple of minutes.
In this talk, we'll talk about model extraction, the consequences for your company, the techniques for reverse-engineering a model and the dedicated techniques for AI models protection.
CEO and AI Security Engineer - Skyld AI
Sr. Director of Technology - Qualcomm Europe, Inc.
Unified data, AI & API marketplaces can drive more synergies and consumption for both data producers and consumers. In this talk I will dive into the successful components of a successful data, AI & API marketplace, and how a platform team can build and run it at scale.
Google Cloud Platform (Apigee) Customer Engineering Lead - Google
Machine Learning Product Specialist (South EMEA) at Google Cloud - Google
In this talk, Mehdi Ghissassi, formerly of Google DeepMind and current Chief Product Officer at AI71, explores the journey from research to product in the field of AI and large language models (LLMs). Mehdi explores the challenges and strategies for real-world deployment and highlights the importance of aligning cutting-edge research with market needs, scalability, and user experience.
Chief Product Officer - AI71
Generative AI (GenAI), with its impressive tools for creating text, images, or sound, has become ubiquitous and attracts all the attention thanks to its visible and accessible results. However, Deep Learning, the technological pillar of GenAI, offers much more than creative tools. In this talk, I will share my experience as a doctoral student at Sonio, where I work on detecting rare fetal malformations, thus aiding in medical diagnosis. Through this lens, I will address how AI and Deep Learning, beyond GenAI, can transform critical fields such as health, the environment, and many other sectors. We will explore how these emerging technologies, although less publicized, can have a profound impact on solving concrete everyday problems. My goal is to show that GenAI is only one facet of AI's potential, and that other fascinating applications are within reach, ready to change our lives in tangible and lasting ways
AI Engineer - Sonio
CEO - Meero
This session will be exploring how the integration of language APIs can propel businesses into international markets with unparalleled accuracy and efficiency. Discover how to create seamless localization for websites, apps, and products, without sacrificing customization or data security. Learn practical solutions and get insights into starting with the API - ideal for developers and businesses aiming to break language barriers effectively.
Product Marketing, API & Partnerships - DeepL
Head of Engineering - Weglot
Une table ronde de 14h à 15h15.
Educational Innovation, AI, Special Projects at Narratiiv - Podcaster and Presenter of “Chat G Planté, the Price of AI”
Secrétaire Générale Adjointe - Conseil National du Numerique (CNNum)
Philosophe, membre du Conseil National du Numérique (CNNum)
Délégué Général - Dans les Algorithmes
Cofondateur - d’Hérétique
As AI adoption in computer vision and generative image models accelerates, the need for efficient deployment solutions on scalable cloud platforms like AWS and GCP becomes critical. In this talk, we will explore how Ikomia SCALE, a powerful SaaS platform, simplifies the deployment of AI models and the effortless creation of APIs for computer vision and generative image tasks. Attendees will learn how our platform enables fast, reliable, and scalable AI implementation, empowering businesses to focus on innovation while seamlessly managing cloud resources and APIs for their AI-driven solutions.
CEO & Co-Founder - Ikomia
In this talk, I will shed some light on one of the main bottlenecks to build successful AI projects: data labeling.
After explaining why this task can be so challenging, I'll share tips to make your labeling processes more efficient
with a focus on Computer Vision projects.Those tips will be divided in three groups. One related to tooling, another
about methodological aspects and the final one about modeling strategies that can help accelerating image labeling.
You'll see that, in some cases, Vision Language Models will be very helpful !
Artificial Intelligence and Computer Vision Specialist, Ph.D.
As more machine learning models are deployed without clear information about the data they were trained on, concerns are growing about the misuse of public datasets and the potential for data contamination.
We introduce ""data taggants"", a novel technique that allows dataset owners to verify if their data was used to train a given model with black-box access to the model only.
Machine Learning Research - Meta/École Polytechnique
CEO - XXII
CEO and Co-Founder - Dust
CEO - Enchanted Tools
Senior Product Manager - Mirakl
Data Science Manager - AI Catalog - Mirakl
Developer Experience - OpenAI
AI-specific regulations are gaining momentum globally. In order to justify safety and control of AI systems, regulatory provisions increasingly ask for testing and evaluation of AI systems. Among the latter, general purpose AI models are one of the main targets. How do we measure the degree of compliance of an AI system and convey results in an intelligible way to authorities? Evaluation stems as a tool enabling understanding of AI and informed deployment based on regulations. However, it does not come without challenges.
Creator of OpenRAIL - Co-Founder & COO at Alinia AI
Co-Founder of SpartaAI - AI Legal services at Olympe.legal
A Panel Discussion
Co-Founder & CEO - Calicarpa
Legal Director and DPO - Olympe AI
AI Researcher - CNRS
Studies and Partnerships Manager - Renaissance Numérique
LLMs are today very popular and very resource consuming, especially in cost expensive ones: the GPUs.
Having a LLM infrastructure to serve different models can be expensive, especially if it is under utilized, and frustrating for the users if it is under sized.
In this session, you will discover how Cloud Run, the serverless flagship service of Google Cloud, can scale up and down LLMs infrastructure and serve at scale your use case, and then, scale down, even to 0 when not used to save money.
Group Data Architect - Carrefour
A dense but accessible talk about the core concepts of embeddings.
If you had a collection of every kind of animal on earth, from mules to narwhals to goldfish, how would we pick out just the animals that are housepets? And how does AI distinguish between a pack mule and a Moscow Mule?
Embeddings are numerical representations that capture the essential features and relationships of discrete objects, like words or images, in a continuous vector space, enabling tasks such as semantic search, clustering, and recommendations.
This talk introduces specialized terms and breaks them down into simple, everyday examples to help learners relate difficult concepts to familiar things. Then, it gradually builds back up to the specialized terms. This back-and-forth approach deepens understanding. Attendees will gain a clear understanding of how embeddings work, their benefits, and why they are leveraged in machine learning tasks
DevRel, Head of Developer Community - Pinecone
Buckle up, we are about to embark on a journey through human-computer interaction. Remember the good old days of graphical interfaces and mice? Hold on to your keyboards because we’re living in the age of the second revolution: natural language interaction.
In this presentation, we will take a simple but hands-on example to illustrate three different ways of building an AI agent: mainly prompts, combining prompts and code, and LangChain agents. We will see the pros and cons of each implementation.
By the end of this talk, you'll be equipped to start your own explorations in agentic AI!
AI Engineer at Komodo Health - Digital Expert AI at Collège Numérique France 2030
Founder - Mighty Nine
Venture Principal - IRIS
Inscription to the Writing Workshop :
https://events.generationaiconf.com/cafe-ia
Café IA Mikrodystopies - Host
IA Générative, Formation IA, Podcast, Speaker, Investisseur, Mentor - Comptoir IA
Generative AI is the new grail for business. But its adoption faces many challenges: training, data management, change management, security, use cases, ....
At Alegria.group, we have supported more than 50 companies of all sizes on their journey towards generative AI for all. By combining new AI, automation and NoCode tools, it has never been so easy to achieve the productivity gains promised by these new technologies.
CEO - Alegria.tech
Head of Public and Institutional Relations - Hub FranceIA
AI Engineer - Valeo
IBM is a leading global hybrid cloud and AI, and consulting services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com.
A lightweight SDK for accelerated REST-based API development, see metadata for every API request with real-time API traffic monitoring, get powerful analytics and API governance features alongside API automated docs, and automated API security audits for every single request. Simplify workflows, and enhance security with support for 18+ languages and frameworks for seamless integration. Empower your teams to build, ship, and maintain APIs faster. https://www.treblle.com
Postman is an API platform used by 25M+ developers for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration so you can create better APIs—faster. https://www.postman.com/
One hub for all your APIs to build, discover, and govern. https://rapidapi.com/
Gravitee.io is an end-to-end solution for both synchronous and asynchronous API lifecycle management, built on an event-native API Gateway with support for REST, SOAP, Websockets, Webhooks, Kafka, MQTT, and more. Because of its breadth of capabilities and unique support for streaming data, Gravitee enables developers and business users all around the world to build, manage, and secure all their APIs in one place. https://www.gravitee.io/
Google Cloud accelerates every organization’s ability to digitally transform its business. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. https://cloud.google.com/apis
Solo.io, the leading application networking company, delivers a Service Mesh and API platform for Kubernetes, Zero-Trust and Microservices. The three components of the Gloo Platform – Gloo Gateway, Gloo Mesh and Gloo Network – enable enterprise companies to rapidly adopt microservice applications, as part of their cloud journey and digital transformation. Solo.io delivers open source solutions, and is a community leader in building the technologies of the future. https://www.solo.io/
Broadcom Inc. (NASDAQ: AVGO) is a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions. Broadcom’s category-leading product portfolio serves critical markets including data center, networking, enterprise software, broadband, wireless, storage and industrial. Our solutions include data center networking and storage, enterprise and mainframe software focused on automation, monitoring and security, smartphone components, telecoms and factory automation. For more information, go to www.broadcom.com. As part of the Broadcom Software solutions Layer7 API Management has been providing secure and scalable solution on-premises and in the cloud for over twenty years. Layer7 provides industry leading certified API management solutions used across all industries and environments where security is vital.
https://www.broadcom.com/
WireMock optimizes developer productivity in an API dependent environment. By allowing developers to mock and virtualize APIs they depend on, WireMock empowers teams to reduce dependencies, thereby improving development productivity, facilitating parallel development, and accelerating time to market.
https://www.wiremock.io/
Kong is the cloud native API platform with the fastest, most adopted API gateway in the world. Loved by developers and trusted with enterprises’ most critical traffic volumes, Kong helps startups and Fortune 500 companies build with confidence.
Kong is the cloud native API platform with the fastest, most adopted API gateway in the world. Loved by developers and trusted with enterprises’ most critical traffic volumes, Kong helps startups and Fortune 500 companies build with confidence.
Traefik Labs helps organizations adopt and scale cloud-native architectures by providing a modern, intuitive, and open platform that reimagines application connectivity and API management, paving the way for seamless operations and enhanced productivity. https://traefik.io
Solace helps large enterprises become modern and real-time by giving them everything they need to make their business operations and customer interactions event-driven. With PubSub+, the market’s first and only event management platform, the company provides a comprehensive way to create, document, discover and stream events from where they are produced to where they need to be consumed – securely, reliably, quickly, and guaranteed. https://solace.com/
Bump.sh is the engineering teams’ central hub for internal APIs and microservices. Always up-to-date API docs, no wild breaking changes, and complete API discoverability. Explore Bump.sh: https://bump.sh
Zuplo is reinventing API management for the multi-cloud era. Deploy unlimited environments to the edge, each in under 20s. Natively powered by OpenAPI – Zuplo is the developer-friendly gateway: fully programmable and fits neatly into your workflow with support for gitops built-in. zuplo.com