Technology brings substance to sustainability
Sustainability has been the buzz word for corporations for some time. They want their brand to be known as sustainable, but there have been limitations. The people who are trying to change this are the technology brands and where they lead it is hoped others will follow.
Sustainability has been the buzz word for corporations for some time. They want their brand to be known as sustainable, but there have been limitations. The people who are trying to change this are the technology brands and where they lead it is hoped others will follow. It seems that there are business leaders who are aware that not doing anything is not an option and Microsoft are the first company named by GreenBiz as being involved.
Chief Executive Rob Bernard says that this view is held throughout the workforce the basis of it coming from the president’s office. They are not the only ones involved, as other giants of the technology industry are having the sustainability agenda appearing in the boardroom.
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Energy Star, Leed, and the CDP – Carbon Disclosure Project – have been working with organisations to identify and set out their footprint and then determine how they can improve it. Technology is changing the way that buildings use energy, and this is the major part of the blueprint. The software is able to provide the level of detail that will allow sustainability targets to be met and allow data to be provided for capital planning. This will be a direct way to improve the companies’ bottom line.
Recruitment and retention are a hot topic and the millennials are the largest percentage of the American working population. Firms are aware that climate change is an issue and how they will be affected. The Independent has a letter from 17 British executives promoting standardization of risk.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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