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Women in AI: Tamar Eilam is helping IBM build sustinable computing | TechCrunch

Dec 05, 2024 - techcrunch.com
Tamar Eilam, an IBM fellow and chief scientist for sustainable computing, is working on mitigating the energy consumption of AI technologies. She is particularly proud of her work on an open-source project called Kepler, which quantifies the energy consumption of a single, containerized application. Eilam believes that while AI has the potential to make industries more sustainable, the technology itself is currently a resource drain. She is focused on finding holistic solutions to these problems, such as identifying toxic materials in AI chips and advising teams on energy-saving methods for training AI models.

Eilam also emphasizes the importance of transparency in AI, particularly in relation to energy consumption and data sources. She believes that investors should look at startups that are transparent about their innovations and have guardrails in place to prevent high-risk scenarios. She also advocates for more regulations in the AI industry, despite the complexity of the technology. Eilam's work is increasingly important as the AI revolution progresses, with a focus on providing effective and sustainable ways of computing.

Key takeaways:

  • Tamar Eilam, an IBM fellow, is working on sustainable computing to help reduce the amount of energy consumed by AI technologies.
  • Eilam is particularly proud of an open-source project called Kepler, which quantifies the energy consumption of a single, containerized application.
  • She believes that AI has the potential to make industries more sustainable, despite currently being a resource drain, and can help decarbonize the electrical grid.
  • Eilam encourages women in the tech industry to persist and express their opinions, even when they are the only woman in the room.
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