Emerging technologies are being used to fight climate change. This isn’t new. We have spoken about and shared that news many times. However, the approach may be so different that the results could avoid normal technological pitfalls. This interesting topic came to us from Tech Crunch in their article, “Here’s why climate tech may avoid repeating clean tech’s failures.”

Climate tech is about collaboration. Bringing promising technologies and ideas to market in a way that will produce significant profits while also addressing climate change in a meaningful way.

For those who are deep into climate tech, that won’t be a surprise. But with the recent downturn in the funding world, it is obvious that some had the right tech at the wrong time. 

The biggest hurdles for any organization, regardless of the industry, is an understanding of the technology. Most organizations have little knowledge of how artificial intelligence (AI) systems make the decisions they do, and how the results are applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.