- Plankton Data
- Aerosol Data
- Cloud Data
- Ocean Ecosystem Data
Why AI for Sustainability?
Just as IT has been the lynchpin of digital transformation, technologists will also be equally critical leaders in sustainable transformation.
Organizations are looking to IT personnel and artificial intelligence (AI) solutions to help achieve two key outcomes:
To reach tech zero, or diminish the carbon footprint of an organization’s IT function by optimizing operations to reduce waste and inefficiencies in existing processes.
To become tech positive, meaning using technology as a lever for the whole organization to reach its net zero goals and to drive new value and differentiation for a positive overall impact.
Measuring Organizational Progress Toward Sustainability
Environmental, social, and governance (ESG) data can help enterprises operate responsibly and contribute to a more sustainable future. The IT team can help gather related data, which enables investors, stakeholders, and ESG rating agencies to assess an organization’s performance relative to responsible sustainability practices and long-term value creation.
The following are factors that contribute to the measurement of a business’s sustainability impacts:
Environmental: Carbon emissions, energy consumption, water usage, waste management, and efforts to reduce environmental footprint.
Social: Commitment to diversity, labor practices, employee turnover rates, and impact on local communities.
Governance: Board diversity and executive compensation, risk profile, long-term viability, accountability for ESG business practices, and compliance with regulations.
One appealing benefit for ESG-savvy organizations is that, as a company’s ESG score improves, its capital costs reduce, which, in turn, improves the company’s valuation.
Responsible AI
As with most emergent technologies, there are challenges to implementing and using AI. Decision-makers should be aware of data security and privacy risks, computational resourcing and expense, and ethical and societal implications. As a foundation for all uses of AI for sustainability, there must be a commitment to using responsible AI for transparency, accountability, inclusivity, and governance to support societal trust and ensure that advances in and use of AI continue to uplift communities.