AI IN SUSTAINABILITY
It is also important to consider the task you’ re trying to do. Is it predictive monitoring and maintenance and the health of your physical assets? Is it understanding what’ s happening with elephants on the ground in Kenya? Is it understanding and verifying forest and vegetation cover? Depending on the use case and task, it’ s more realistic to offer smaller models that are very specifically trained to achieve the outcome that you’ re trying to achieve.
If you think about, for example, Gen AI and our foundation models, we think of them as reusable rockets. Once there’ s one that’ s built up, it may deliver really unimaginable value over the long term through reuse. As we’ re moving into the next iteration of how AI is being implemented within organisations, sustainability use cases, business use cases and the combination of the two will become more and more efficient.