DiscoverEXPLAINED: Der KI-PodcastSpecial Feature: How can open ecosystems shape AI’s future? | AI EXPLAINED
Special Feature: How can open ecosystems shape AI’s future? | AI EXPLAINED

Special Feature: How can open ecosystems shape AI’s future? | AI EXPLAINED

Update: 2024-12-06
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This special episode explores the future of AI in Europe with Arun Joseph, lead architect and engineer at Deutsche Telekom’s AI Competence Center. The discussion highlights the urgency of building open and sovereign AI ecosystems that align with European values. Arun shares how his team developed multi-agent AI systems, rethinking traditional approaches to create smarter, more dynamic customer service chatbots. Like the new Frag Magenta. But the conversation goes further, focusing on a vision for an open-source future where Europe leads in AI innovation, as it once did with the internet and Linux. Grassroots developer movements, transparent frameworks, and collaborative platforms are essential to this vision, ensuring that AI becomes a tool for the greater good. This episode is a must-listen for anyone interested in how AI can be shaped to reflect our shared values and drive meaningful innovation.


LMOS website: https://lmos-ai.org/about_us

LMOS on Eclipse: https://projects.eclipse.org/proposals/eclipse-lmos

LMOS on GitHub: https://github.com/lmos-ai


Note: Find a highlights-only version of this talk in this week’s regular episode of EXPLAINED – in parallel to this one here in your feed.


Contact: 


Guest: Arun Joseph | LinkedIn


Moderator: André Cramer | LinkedIn


Suggestions & feedback: podcast@telekom.de

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Special Feature: How can open ecosystems shape AI’s future? | AI EXPLAINED

Special Feature: How can open ecosystems shape AI’s future? | AI EXPLAINED

Deutsche Telekom AG