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May 7, 2021

This Week In Supply Chain Now: May 3rd – 7th

Listen up! We’re kicking May off with some great conversations you won’t want to miss. Take a look back on the latest episodes, interviews, conversations, and livestreams from this week right here. On Monday, we released 3 new episodes! In this episode of Supply Chain Now, Scott welcomes JD Redmon back to the podcast for a frank conversation about accessing the marketing solutions you need, the trend towards diversity marketing and hiring, how to use your voice to achieve what you need, and so much more. On This Week in Business History, Scott Luton explores the genesis of The Clorox Company, from the early entrepreneurial struggles to their international expansion, innovation & growth. On Supply Chain Now en Espanol, Enrique Alvarez welcomed Alex Meza with RioRev Partners to the podcast to talk about growing up in Mexico and the United States, Alex’s professional experience, and trade between the two countries. On Tuesday, we released 2 new episodes! On this episode of TEKTOK Digital Supply Chain Podcast, powered by Supply Chain Now, host Karin Bursa welcomes Jason Tham with Nulogy to the podcast to tackle the question- is your supply chain agile or fragile? On TECHquila Sunrise, host Greg White dives…
decision intelligence
October 7, 2026

AI in Supply Chains: Trusted Data Makes AI Work

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…