{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"559: From AI Hype to Business Value: The Future of Supply Chain Intelligence, with Gnosis Freight","description":"Jake Hoffman of Gnosis Freight talks about AI \u2013 trust; misconceptions; data; asking the right questions; measuring success; &amp;amp; why the real innovation isn't AI. IN THIS EPISODE WE DISCUSS: [03.08] The biggest misconceptions people have about AI in logistics.  \u201cThere\u2019s a big misconception that AI itself is the differentiator, that if you have good AI that means all your problems go away. AI is just an amplifier of whatever is underneath the surface\u2026 People are learning that the hard way.\u201d  [04.16] What being an AI-native company means for Gnosis Freight, why they\u2019ve changed how they talk about AI, and how AI changed their understanding of how software would become cheaper and easier to build.  \u201cWe use it so we can make ourselves better, so we can do more for the customer.\u201d  [07.56] The origin of the name \u2018Gnosis\u2019. [10.41] With more and more logistics platforms adding AI features, whether AI itself is becoming a commodity, and why real innovation isn't AI, it's the infrastructure behind it.  \u201cIf you\u2019re not using it, you\u2019re behind\u2026 But sometimes it becomes a checkbox.\u201d  [16.19] If AI is only as good as the data it's trained on, what separates good logistics data from bad logistics data.  \u201cIt\u2019s a bunch of people optimizing a local system for a local maximum or minimum, but there\u2019s nobody that\u2019s orchestrating the entire thing to give you the entire system maximum and minimum.\u201d  [18.59] As AI pilot failure continues to be a big issue, the questions companies should be asking vendors as they evaluate AI-powered logistics platforms, and the new strategies they should be embracing. [23.31] How companies should measure AI success \u2013 not just celebrate the launch of AI initiatives. [25.46] Where Gnosis sees AI making a measurable impact on cost, efficiency, and margins in logistics. [31.47] What autonomous execution looks like in practice for logistics teams, and which logistics processes are closest to being fully automated with AI today. [33.36] What needs to happen before businesses can trust AI to make operational decisions on its own.  \u201cImplementing AI with the right guardrails is key\u2026 Often our first implementation is a recommendation, not a final decision.\u201d  [37.29] How AI will change the role of logistics professionals. [40.32] Jake\u2019s advice for supply chain leaders looking to invest in AI over the next few years.  \u201cDon\u2019t buy the product, buy the system. Don\u2019t pick the software solution, pick the partner.\u201d  RESOURCES AND LINKS MENTIONED: Head over to Gnosis Freight\u2019s&amp;nbsp;website&amp;nbsp;now to find out more and discover how they could help you too. You can also connect with Gnosis and keep up to date with the latest over on&amp;nbsp;LinkedIn,&amp;nbsp;Instagram,&amp;nbsp;Facebook&amp;nbsp;and&amp;nbsp;X (Twitter), or you can connect with Jake&amp;nbsp;on&amp;nbsp;LinkedIn. Check out our other podcasts&amp;nbsp;HERE. ","author_name":"Let's Talk Supply Chain","author_url":"https:\/\/www.letstalksupplychain.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/42458805\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/0083b6\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/item\/42458805"}