My podcast recordings are usually under 30 minutes, but sometimes there is topic that is so fundemental and foundational to how we live our lives every day, the clock is just thrown out. This is one of those topics.  

While there were many 'Ah ha' moments, one moment of enlightenment was just how much carbon is produced for the inefficiency in training an AI model. We looked it up during this podcast. It was shocking. AI is used to support research in reducing carbon emissions, but we may not be fully aware how much AI technologies act as a carbon emitter.   

Our goal with this discussion is by then end you are asking yourself questions you may not have thought about and/or starting asking new questions at your job tomorrow.   

Topics covered today:  What is Circular Supply Chain? Impact of on primary, secondary, and other supply chain...markets, materials, and waste How do you wrap your arms around all that data? Considerations when building new products? 

Why should we care about Circular Supply Chain? Impact of carbon footprint when training AI technologies

Redefine the definition of your carbon footprint to include systems, AI technologies, etc. 

Are we really closer to a zero carbon footprint?  What is a true circular economy? What is Zero-waste really?  The defintion from 5 years doesn't exist today. In 3 years from now, we will want to redefine this again. 

Visible impact & roles for a citizen of the earth - what can I do?  Cultivating the right mindset - the negative perception of refurbished vs OEM Roles and responsibilities - what you thought your role was today is completely changing 

Do we take a serious look at scrap & how it can be resused in new creative ways? We illustrate a real world example.  ----------------------- 

Sneha's passion is leading supply chain process improvements while focusing on the reduction of  carbon footprint and improving sustainability.