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Our machines and processes are creating increasingly larger volumes of data - how can we handle this, what insights can we glean from it, and what are some lessons learned?

These are some of the questions I put to Sisu Data's Joel McKelvey in this episode of the Digital Supply Chain podcast.

We had a great conversation spanning why AI ML solutions are increasingly necessary for supply chain data insights, Sisu Data's recent Harris Poll showing the implications of a poor supply chain experience, and how best to solve these problems. 

I learned loads, I hope you do too...

If you have any comments/suggestions or questions for the podcast - feel free to leave me a voice message over on my SpeakPipe page or just send it to me as a direct message on Twitter/LinkedIn. Audio messages will get played (unless you specifically ask me not to).

If you want to learn more about how to juggle sustainability and efficiency mandates while recovering from pandemic-induced disruptions, meeting growth targets, and preparing for an uncertain future, check out our Oxford Economics research report here.

And if you want to read up on our Industry 4.0 blueprint repost, head on over to https://www.sap.com/cmp/dg/intro-industry40/index.html, 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 it. Thanks.

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

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I'd like to sincerely thank this podcast's generous Subscribers:

• Alicia Farag
• Kieran Ognev

And remember you too can become a Resilient Supply Chain+ subscriber  - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to bonus episodes of topical, timely supply chain resilience analysis.

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Finally
If you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.

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 it. 

Thanks for listening.