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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.

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LTL in a Post-Yellow World with Curtis Garrett

The Logistics of Logistics

About Understand LTL The Understand LTL education brand is a new initiative that is focused on simplifying the LTL industry and helping people to build the mental models in their mind to think about LTL clearly. Unique approach: The course uses humor, visual appreciation, deep thinking, and lightbulb moments to help students learn about LTL.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

The company aims to change this with the expansion of its data fabric portfolio. Business cycles are compressing and the need to make course corrections is exploding. A supply chain data fabric can help companies augment their supply chain processes. To solve this problem, data fabric technology is being increasingly used.

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Modeling brewing capacity to drive cost savings at HEINEKEN

AIMMS

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. But it had its limitations, of course. There was no global master data in place either.

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6 Critical Success Factors in Distribution Network Design

Logistics Bureau

Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.

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Supply Chain Big Data: Why Supply Chain Leaders Are Using Big Data Analytics

GlobalTranz

Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. What Is Supply Chain Big Data? How Does Big Data Improve a Supply Chain?

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Supply Chain Data Visibility Paramount as Industry Lurches into Next Chapter

IoT World Today

Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.