AI as a Service
By “AI as a Service'' we mean the integration of advanced AI capabilities into business processes through dedicated AI modules, and serves to achieve AI-driven transformation. This can take various forms: 1. exploiting GenAI to replace manual coding, data generation or transformation, or facilitate the interaction with users, 2. exploiting Semantic AI to provide actual/correct knowledge and results; 3. distributing various software into interacting agents; 4. bringing together these various AI approaches.
Research Questions
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How to provide AI modules as AI as a Service?
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How to exploit AI modules provided as AI as a Service with a business process, integrating it with other digital services or within an information system?
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How to combine and exploit the various types of AI together (GenAI, Semantic AI, Multi-agent systems)?
Research Themes
- Generative AI / RAG Systems / Graph RAG
- Knowledge Engineering / Ontologies / Semantic AI / Linked data
- AI and NLP
- Multi-agent Systems
- AI and ethics
- AI and decision making
- AI and fraud detection
- AI and innovation
- AI and security
- Open Source AI
- Use of LLM : automated KG
- Construction, generation of ontologies
- Structured data analysis with KG and LLM
Activities
Teaching
- Continuous education:
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Data Science Appliquée (https://www.unige.ch/formcont/cours/data-science)
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Intelligence Artificielle - une perspective pragmatique pour les professionnel-les non spécialistes (https://www.unige.ch/formcont/cours/ai)
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Intelligence Artificielle et Ethique (https://www.unige.ch/formcont/cours/ai-ethique)
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Intelligence Artificielle et Éducation (https://www.unige.ch/formcont/cours/ai-education)
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Applied AI, AI as a service (in preparation)
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Research Projects
Collaborations
Tools and Infrastructure / Research Output
- 2 GPU computers