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Opening Keynote - Unveiling Odoo 18
Fabien PinckaersTerminé
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Odoo for Chemical Industry - Streamlining Operations and Ensuring Compliance
Nadja PlanicTerminé
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Customer Story : Smart Analytics @ Jacques Rémy & Fils
Louis BerwartsTerminé
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Maximising Manufacturing Margins and Efficiency with Dynamic Pricing and Sustainability
NEERAJ Kumar Kokkottu PechimuthuTerminé
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Integrating Telephony Systems with Odoo
Randhir MayatraTerminé
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Odoo on IBM Power
Ludovic Gasc and Nicolas DraguezTerminé
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ChatGPT: Ask your Odoo anything
Manuel SauerTerminé
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AI & API-first Strategies: A New Era of Accessible Financing for SMBs with Defacto & Odoo
Morgan O'hanaTerminé
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Online food delivery app for a pizza chain in India
Husen DaudiTerminé
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Reducing the Average Order Packing Time by 1/10 in Manufacturing
Om Prakash MauryaTerminé
Juul's background is in industrial engineering, where he was inspired by the inefficiencies he observed in how employees used technology and data. This insight propelled him into the world of artificial intelligence (AI). Since 2018, Juul has focused on education, publishing papers, and conducting research on transforming human interaction with software through AI. Motivated by the vision of enhancing work processes and unlocking human potential, Juul co-founded UTF with Giulio Tosato in 2023.
Juul has been a recent speaker at AI5050 in Brussels presenting the same subject with succes: https://ai5050.com/team/juul-van-kessel/
In this 20-minute talk, we (Giulio Tosato and Juul van Kessel) delve into the transformative potential of multi-agent large language models in enterprise software. By harnessing the power of collaborative intelligence with AI, businesses can unlock unprecedented levels of efficiency, innovation, and decision-making prowess.
Key points include:
- Understanding Multi-Agent Systems: Discover how multiple AI agents can work synergistically, mirroring human team dynamics to solve complex problems and optimize/replace workflows.
- Practical Applications: We are showing real-world examples of multi-agent systems in action within enterprise software, from analyzing complex data to replacing complete workflows,
- Strategic Implementation: We provide best-practice insights for integrating multi-agent large language models into existing infrastructures, ensuring seamless adoption and maximum impact.
Value for the audience:
Participants will leave with a comprehensive understanding of the benefits and challenges associated with multi-agent large language models. They will be equipped with actionable strategies to leverage this cutting-edge technology, driving transformative changes in their organizations.
Target Audience:
This talk is ideal for business leaders, IT professionals, and software developers eager to stay ahead of the curve in AI advancements. Whether you're involved in strategic decision-making or hands-on technical implementation, this session will provide valuable insights to enhance your enterprise software solutions.
