With multiple layers of suppliers, artificial intelligence and big data can help companies get clean and useful information, says Jim Hayden, chief data scientist at Everstream Analytics.

While for some companies the concept of digital twins may be new, others in the manufacturing space have been using them for years now, proving not just their effectiveness, but also their ability to drive innovation in an increasingly competitive economy.

E.D. Etnyre & Co., the venerable manufacturer of heavy equipment for road maintenance and preservation, looks for a way to share data from multiple legacy systems across the organization.

Hank Ackerman, principal at Argano, advises how to make supply chain planning transformations successful.

Decision intelligence is becoming key to the ability of companies to deal with an unprecedented volume of data that's necessary to making supply chain decisions today, says Fred Laluyaux, president and chief executive officer of Aera Technology.

Recognizing the challenges supply chains have faced in recent years, Sumit Dutta, leader for the Americas Supply Chain Consulting Group of EY, outlines priorities for the next five years for supply chain leaders.

Artificial intelligence-based prescriptive analytics enable a network approach to planning in volatile times, says Joe Bellini, executive vice president of product management at OneNetwork.

Service organizations, like many others, are feeling the effects of today’s talent shortage.

Disruption is the new normal for global supply chains, making reliable ETAs and shipment visibility top of mind. Granular geolocation capability and quality underlying data are central to a truly predictive supply chain. Here are five key indicators of predictive performance.