Sustainable Supply Chain Deep Reinforcement Learning - What Is It, And What Are Its Uses In Supply Chain? A Chat with Pathmind CEO Chris Nicholson
A relatively new field of AI called Deep Reinforcement Learning is starting to open up and shows a lot of promise.
One company making use of Deep RL in the supply chain area is Pathmind. I invited the founder and CEO of Pathmind, Chris Nicholson to come on the podcast to explain what Deep RL is, why it is better than other forms of AI/ML, and how it can be used in the supply chain context.
We had an excellent conversation and, as is often the case, 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).
To learn more about how Industry 4.0 technologies can help your organisation read the 2020 global research study 'The Power of change from Industry 4.0 in manufacturing' (https://www.sap.com/cmp/dg/industry4-manufacturing/index.html)
And if you want to know more about any of SAP's Digital Supply Chain solutions, head on over to www.sap.com/digitalsupplychain 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!
Podcast supporters
I'd like to sincerely thank this podcast's generous supporters:
- Alicia Farag
- Kieran Ognev
And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.
Podcast Sponsorship Opportunities:
If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!
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.