Orchestrating Outcomes presents insightful conversations with leaders in the life sciences and healthcare industries. They share opportunities, lessons learned, and best practices for leveraging digital technologies to enhance visibility, foster real-time collaboration, and achieve intelligent end-to-end supply chain orchestration.
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Orchestrating Outcomes for External Manufacturing
Ceetal Amin of Sandoz on Improving Brand Owner-CMO Relationships through Supply Chain Digitalization - Part 1
Arun Giddu of Thermo Fisher Scientific on Laying the Groundwork for Long-Term ROI in Supply Chain Digitalization - Part 1
Orchestrating Outcomes for Logistics
Tsu Rasolonjatovo on Digital Innovation, Sustainability, and Redefining Healthcare Supply Chains - Part 1
Orchestrating Outcomes for Logistics: Michael Sweeney of QuickSTAT on Ensuring Precision in Cell and Gene Therapy Supply Chains - Part 1
Orchestrating Outcomes for Logistics: Jon Chapman of Kuehne+Nagel on Harnessing Advanced Technology to Build Patient-Centric Supply Chains - Part 1
Orchestrating Outcomes for Logistics: Dan Bell of Marken on Driving Digitalization and Patient-Centric Innovation in Pharma Supply Chains – Part 1
Orchestrating Outcomes for Logistics: Guy Courtin of Tecsys Inc. on the Impact of Supply Chain Digitalization – Part 1
Insights from Orchestrating Outcomes
Hear what industry leaders are saying about supply chain digitalization.
Amazon has made the notion of two-hour, two-day delivery as status quo. What we're seeing on the healthcare side is more and more healthcare providers are starting to think, 'You know what, we need to have the same attitude.'
Data for data's sake really is just data at the end of the day. I think where [the industry] struggles a little bit is to apply that information and apply it in a way that gives us something that is meaningful and useful.
Sometimes you can't jump in the Lamborghini. You’ve gotta start with the Toyota... It takes a good person, a good leader to understand: Yeah, I want that, but I'm not there yet. I don't have the master data. I don't have the expertise.
Where do I see the next exciting part of the journey? It's all of this data, all of this information that we've got. How can we identify the real, actionable, and differentiating insights from that data that will allow tomorrow's shipments to be handled more perfectly?
Lights-out manufacturing may be 50 years out, maybe 100 years out, or maybe it's a never-in-my-lifetime kind of a thing, or any lifetime. But the thing is, if you aspire to that, you will move in the right direction.
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