Join us in the latest episode of BI4ALL Talks as we dive into the intersection of Sustainability and AI.
Our esteemed guests, Mauricio de Sousa, Co-Founder & CEO at Rewion, and Yannick Hirt, Manager of Sustainable IT and IT-Security at Rewion, shed light on the critical connections between technology and environmental responsibility.
Join us as we explore the future of tech, its relationship with environmental well-being, and the role AI plays in driving sustainability.
Tune in to gain a deeper understanding of the challenges and opportunities that lie ahead in this rapidly evolving landscape.
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💡Key Takeaways
✅Environmental Impact: Tech activities contribute to carbon footprints. Energy use by digital services and data centres raises ecological concerns, highlighting the need for assessing tech's sustainability.
✅AI for Sustainability: AI addresses sustainability, aiding climate modelling and decision-making. Data processing enhances the positive environmental impact.
✅Tech's Responsibility: Tech companies promote sustainability with eco-friendly options. Potential regulations might ensure genuine environmental commitment.
✅Data-Driven Reporting: Dashboards aid sustainability reporting. Clear standards are essential for comprehensive measurement driven by incentives and responsibility.
✅Challenges in AI Sustainability: Carbon footprint, transparency, biases, and ethics complicate AI's sustainable adoption.
✅Education and Integration: Bridging the tech-non-tech gap is crucial. Education and awareness drive sustainable AI adoption.
✅Implications Matter: Entrepreneurs must consider ethics, environment, and regulations in AI use.
✅Collaboration and Responsibility: Transparency and collaboration drive ethical, sustainable AI practices.
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⏱Timestamps
01:12 Introduction of the guest speakers
04:15 Getting to know AI and Sustainability
11:38 AI contribution to sustainability: current applications
13:50 AI reportings and dashboards
18:24 Challenges in achieving sustainability in AI
22:08 Ethical and social aspect – is AI really available for everyone?
25:10 Interpretation of data &AI integration in companies
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