Summary of the Episode

In this episode, discover the power of Artificial intelligence (AI) technology in fighting adverse effects of  climate change. 

But can the concerns like struggle with data security, elimination of bias impacting the end data. Plus the difficulty in determining the correct data set can hinder its prospect of dealing effectively with climate change. Listen to Daniel Campbell the Co-Founder and Chief Solutions Officer (CSO) of Carbon Re in conversation with Asfand Yar to learn that: Can or cannot AI fight climate change?

Show Notes

  • BCG's research estimates that by 2030, AI could reduce greenhouse gas emissions by 5% to 10% globally. As per Daniel this is something very much achievable. But AI is not the only tool but an important facilitator. Because the diversity in terms of carbon emission increases when we move into other industries 
  • The reason AI should be focused more is because of its ability to deal with heterogeneity and complexity of Carbon emissions better. Also, because of its ability to absorb data in addition to making manual processes more efficient and effective by suggesting the best possible ways to reduce carbon emissions.
  • In industrial context-the cleanliness and the ability to get good data is particularly the biggest challenge. But according to Daniel, AI is the perfect technology because the industry as a whole has already utilized its efforts in researching data, and finding stats. In inclusion to assessing technology 4.0, internet of things etc. But AI and Machine Learning (ML) together can create revolution.
  • As ML can model the processes in a way that are accurate enough to be useful and AI can play and run those models. And learn the best strategies for any given situation.

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