Stacey Schroeder

Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, no worries! Check them all out here: We added a special Saturday episode on May 2nd and featured the first of three speakers from the 2020 AIAG CR Summit and their insights from the conference. First up was Michael Wurzman…     …Then on Monday we featured Tolga Yaprak with iPoint…     …And then on Tuesday, we featured Bruno Sarda.     On Wednesday, we published another episode in the fantastic Logistics with Purpose series sponsored by Vector Global Logistics. Our special guest was Lauren Noce with Hungry.     Then we published the new and improved Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     And to wrap up the week, Scott chatted with the Resilience360 team about their upcoming webinar about the 2020 Hurrican Season.     Which was your favorite episode? Make sure you tune in next week for more great conversation, timely topics, and exceptional guests on Supply Chain Now!

Special Guest Blog Post written by Chris Cunnane with InterSystems   Artificial intelligence is rapidly becoming a strategic priority across industries. Organizations are investing in AI to improve productivity, automate workflows, and unlock new business value. For supply chain leaders, however, the opportunity extends far beyond efficiency gains. AI has the potential to transform how organizations anticipate disruptions, make decisions, and coordinate activities across increasingly complex global networks. [ But there is an important reality many companies are learning: AI is only as valuable as the data that powers it. Without accurate, connected, and governed information, even the most sophisticated AI models can generate incomplete insights and unreliable recommendations. Success with AI starts with creating a trusted foundation of enterprise data. The Challenge: Too Much Data, Too Many Silos Supply chains generate vast amounts of information every day. ERP systems, warehouse management applications, transportation platforms, manufacturing systems, supplier networks, IoT devices, and third-party data sources all contribute critical operational intelligence. Yet most organizations struggle with fragmented information spread across hundreds of disconnected systems. As a result, when disruptions occur, teams often spend more time gathering and validating data than solving the actual problem. Decision-making slows down, opportunities are missed, and…