Article
Frugal AI: The Secret to Cutting Costs and Carbon in Your Tech Stack
Edited by :
Schneider Electric, Jacques Kluska – Expert Data Scientist
Summary
As AI systems grow more advanced and prominent in our daily lives, so does the demand for efficient data processing and infrastructure capable of supporting their complex operations. Learn how frugal AI concepts can help your organization reduce resource usage and maintain performance, giving CTOs the tools to lead smarter AI initiatives.
The editorial perspective
A very interesting summary, available only in English, provides an overview of the Afnor Spec approach to achieving frugal AI. It offers a clear understanding of Schneider Electric's commitment to AI frugality, while also re-centering the discussion on the key issues outlined in the Afnor Spec.
The article is clear, well-structured, and easy to read.
This position aligns with Schneider Electric's recent acquisition of EcoAct, a consulting firm specializing in ecological transition. AI is already being used at EcoAct to facilitate ESG reporting (e.g., CSRD compliance). So, it makes sense for AI to be as frugal as possible!
In brief, the editorial perspective
The most
- An article that clearly discusses the issues of the Afnor Spec
- An article that helps understand Schneider's strategy on AI and frugality
- An article that highlights the coherence of the company's initiatives across its various activities
The least
- A promotional article published on Schneider Electric’s website that only highlights the company's initiative, which should therefore be read with a minimum of distance and critical thinking
- Attention, the resource is only available in English
Publication date
July 2024
Available in
- English
License
Intellectual property of the author