Using Machine Learning To Reduce Climate Emissions In The Physical World - A Chat With PlutoShift's Prateek Joshi Climate Confident

Machine Learning is great for helping us surface new series on Netflix, for helping us search through the thousands of photos on your phone to find that one of the cute cat you took a picture of all those months ago, or for things such as fraud detection by banks, but can it be used to impact the physical environment to help reduce climate emissions?

Prateek Joshi, the founder of PlutoShift thinks so! PlutoShift uses Machine Learning to help Anhueser-Busch, Dow Chemicals, and others reduce their emissions, so I invited him on the podcast to hear more.

We had a fascinating conversation covering why Prateek decided to tackle climate emissions using machine learning, some of the really interesting solutions they have come up with for their clients, and where they're headed next.

I learned loads. I hope you do too.

Links:
Prateek's personal website is at PrateekJ.com
And his weekly ML newsletter is available at https://prateekjoshi.substack.com/

If you have any comments/suggestions or questions for the podcast - feel free to leave me a voice message on my SpeakPipe page, head to the Climate 21 Podcast Forum, or send it to me as a direct message on Twitter/LinkedIn. Audio messages will get played (unless you specifically ask me not to).
And if you want to know more about any of SAP's Sustainability solutions, head on over to www.sap.com/sustainability, and if you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover the show. Thanks.

And remember, stay healthy, stay safe, stay sane!

Music credit - Intro and Outro music for this podcast was composed, played, and produced by my daughter Luna Juniper
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If you have any comments/suggestions or questions for the podcast - get in touch via direct message on Twitter/LinkedIn.
If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover the show.

Credits
Music credits - Intro by Joseph McDade, and Outro music for this podcast was composed, played, and produced by my daughter Luna Juniper