Acerca de Caroline
Summary
Leveraging my 8 years as AI PO at France Télévisions or CPO leading the development of a conversational and educational AI, I'm a passionate of AI seeking a new challenge at the forefront of technology. I implemented agile methodologies like Scrum and SAFe Kanban to ensure efficient AI product development. My expertise lies in user-centric approaches like design thinking, and I'm well-versed in backlog prioritization techniques like story mapping, MoSCoW, and RICE. I'm eager to contribute my skills and passion to a company creating tomorrow’s technology.
AI Product Management
- 🧠 Defining the Problem: the pain point or opportunity the GenAI product will address
- 🎯 Defining Product Vision, Goals, evaluation's risks: Identification of specific personas and user journeys for a specific use case. Setting measurable goals: Defining OKRs/KPIs for a specific use case.
- 🔧🤖Selecting an Appropriate GenAI Model: Considering factors like data requirements, suitable LLM's provider, computational resources, and performance metrics, KPIs.
- 💬 Prompt engineering : Creating contextualized system prompt based on user needs, goals, impact and responsible AI
- 🔧Selection of a necessary AI deployment tools for orchestration: LangChain, Hugging Face Transformers etc.
- 📊 Preparing and Cleansing Data with cross-functional teams
- 📋🤖 Roadmapping and building a Responsible User Interface (UI) and User Experience (UX): Story mapping, user stories, mockup, prototype
- 🔀 Fine-tune the Model or contextualization with RAG architecture
- ❌✅ Testing and Iterating with Human-in-the-loop, collection feedback for continuous improvement
- 🔧 Deployment and Monitoring with cross-functional teams
- ⚖️👁️📊 Integration of Ethical Considerations for a Responsible AI (RAI) and obervability: Preventing bias in the GenAI model's outputs. Aiming Transparency and explainability.
Francés
Bilingüe o nativo
Inglés
Competencia profesional completa
Español
Competencia profesional completa
Acepta trabajo presencial
Paris (hasta 30 km)
Experiencia
- France TélévisionsAI Product Owner - GenAIPRENSA & MEDIOSnoviembre de 2024 - Hoy (1 año y 7 meses)Paris, Francia💼 Consultant in AI Product Management @IKXO🎯 Understanding AI needs and objectives- Gathering feedbacks on AI needs or identification of AI opportunities with teams- Reflection on possible use cases: target persona, available data for AI training on the precise need identified with each team- Identify workflows where AI could be integrated to help speed up certain time-consuming and repetitive tasks.- Identification of AI technologies already deployed corresponding to the use case, or analysis of the AI technologies required- Consideration of AI acceptance criteria according to the use case: editorial guideline, web, ethics, etc.- Identification of KPIs with business teams to be monitored during POC implementation.💪 Development, monitoring & testing- Writing User Stories, functional specifications and collaboration with tech teams- Prioritize ideas according to the AI technologies and features already available within Franceinfo, or those to be developed.- Collection and/or creation of examples of structured or unstructured data for AI training according to the use case to be developed and the guidelines to be followed- Functional testing according to the acceptance criteria listed during the scoping phase- Checking hallucinations (LLM-as-judge)🔄 Deployment and continuous improvement- Creation of documentation and tutorials to help users get to grips with AI technologies, according to use cases- Follow-up of AI KPIs (qualitative and quantitative) determined with the teams on the adoption or non-adoption of the technology meeting their day-to-day business needs.- Gathering feedbacks on the use of the AI feature deployed, and suggesting areas for improvement (Human-in-the-loop)
- tinycoachingChief Product OfficerHIGH TECHenero de 2020 - enero de 2023 (3 años)Paris, FranciaConversational AI - chatbot :- End-to-end product development, test and deployment of an conversational AI for learning front and back office (RASA Open Source and Sentences Transformers Multilingual Model)- Cross-channel strategy and deployment on Google Play, AppStore and instant messaging (Microsoft Teams, Facebook)- Deployment on Microsoft Partner Center Marketplace- Evolution of conversational AI with LLM Google Bard- Prioritization of the roadmap and features (story mapping, MoSCoW, Rice Scoring) AI & neurosciences strategy to reach long-term memoryData analytics and data-visualization platform:- Ideation and deployment of a data-visualization service to manage data.- Access for companies to manage users, group and report automation of all learning data's AI Prioritization of the roadmap and features (story mapping, MoSCoW, Rice Scoring)Marketplace:- Design thinking and features of a marketplace website for educational content
- tinycoachingProduct Owner et Head of Digital contentsHIGH TECHenero de 2018 - enero de 2020 (2 años)Asnières-sur-Seine, Francia0-to-1 product MVP front & back office- Research on neuroscience for the educational AI- Design thinking : brainstorm, persona and features for the MVP of the educational AI Leading the MVP deployment of a conversational and educational artificial intelligence- Creation of the AI back-end to send educational contents (article, video, podcast, rich media)- Prioritization of the roadmap and features (story mapping, MoSCoW, Rice Scoring)
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Formación
- AI Strategies & Roadmap: Systems Engineering Approach to AI Dev & DeploymentMassachusetts Institute of Technology - Professional Education20241. Understanding of an end-to-end AI system architecture 2. Learning the technical underpinnings of the AI pipeline building blocks 3. Formulating a strategic vision and development roadmap focused on AI products or services 4. Transitioning of AI developments into operations focusing on MLOps 5. Fostering and leading innovative AI teams 6. Communicating effectively the AI value proposition to stakeholders 7. Designing Responsible AI systems 8. Receiving practical experience from use cases, exercises, and a large body of references
- B2 EnglishEF Executive Language Institute2024- Business Classes - B2/C1 Level