How does data contribute to sustainability in AI?
Data is crucial for AI sustainability as it helps optimize algorithms, reduce energy consumption, and improve decision-making.
Can you give examples of data-driven sustainability initiatives?
Sure! Examples include using data to enhance energy efficiency in smart grids and optimizing supply chains to minimize waste.
What challenges do we face in using data for sustainability?
Challenges include data privacy concerns, the need for high-quality data, and ensuring equitable access to data resources.
How can organizations improve their data practices for sustainability?
Organizations can improve by investing in data quality, fostering collaboration, and adopting transparent data governance policies.
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