Today’s guest is Tomas Ohlson, Founding Engineer at Einride. Einride is a Swedish-based logistics and technology company best known for pioneering automated transportation solutions and leveraging data to drive cost efficiencies across supply chains. Together with Emerj Senior Editor Matthew DeMello, Tomas explains how electric and autonomous vehicles are streamlining inefficiencies in logistics workflows, and providing cost reductions in everything from energy use to inventory prediction. Later, they explore how an automation-first approach is giving us a new perspective on the best places for human judgment in supervising supply chains. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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The Importance of Real-Time Telemetric Data in Manufacturing - with Remi Duquette of Maya HTT
Predicting Freight Shipments with AI - with Dorothy Li, CTO of Convoy
The Future of External Search - with Emily Bremner of Signal AI
[AI Team Success] What Does "High Performing" Mean, and How to Hire for It - with Peter Day of Quantcast
[AI Team Success] Connecting Work to Meaning - with Dr. Scott Nowson of PwC
[AI Team Success] Cultivating an Innovation Culture for AI - with Caroline Gorski of Rolls-Royce
[AI Team Success] Getting Culture and Talent Right - with Mazin Gilbert of Google
Using Data to Untangle the Sticky Problems of Manufacturing Procurement - with David Schultz of Westfall
Leveling Up Commercial Operations in Pharma - with David Ehrlich of Aktana
Making "AI Ethics" Productive - with Beena Ammanath of Deloitte
Applying Computer Vision and Computer Listening in Manufacturing - with Remi Duquette of MayaHTT
Follow These Steps Before Deploying Enterprise AI - with SymphonyAI CEO Sanjay Dhawan
Achieving Autonomy for AI in Heavy Industry - with David Pollington of Bloc Ventures
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Streamlining Automotive Purchasing with AI - with Arkestro CEO Edmund Zagorin
Lessons Learned from Enterprise Applications of AI and IoT - with Chris Joynt
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