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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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The smart factory Part 3: What does the factory of the future look like

SYSPRO Smarter ERP

Manual production lines are switching to automated assemblies and valuable data is being used to discover actionable insights into manufacturing operations. IoT sensors in the supply chain and robotics in factories are fluently available. What does the smart factory mean for business? A connected and flexible digital shop floor.

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The smart factory Part 3: What does the factory of the future look

SYSPRO Smarter ERP

Manual production lines are switching to automated assemblies and valuable data is being used to discover actionable insights into manufacturing operations. IoT sensors in the supply chain and robotics in factories are fluently available. What does the smart factory mean for business? A connected and flexible digital shop floor.

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The smart factory Part 4: What skills do manufacturers and distributors need in the factory of the future?

SYSPRO Smarter ERP

As manufacturers and distributors inject their operations with innovative technologies in an effort to transform them into smart factories, a shift in how those factories are staffed has emerged. Reskilling and attracting a smart factory workforce. As factories add smarter tech, they’ll need people to manage it.

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Industry 4.0: Building the right skills to meet the factory of the future

SYSPRO Smarter ERP

Of course, robotics does not tell the full story, as the world of manufacturing has evolved even further over the last few decades, with the rise of data and smart, autonomous systems. According to Indeed.com , that broad skills set should include digital fluency, big data analytics and even knowledge around technologies such as ERP.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints.

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How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?

GlobalTranz

Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. True, they may know how to roll out big data in a single warehouse, or they may have heard their competitors used branded systems for implementing this new technology.