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Data virtualization unifies data for seamless AI and analytics

IBM Supply Chain Blog

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. Virtualizing data acts as a bridge, enabling the platform to access and display data from external source systems on demand. Why choose data virtualization?

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What’s the Difference Between Blockchain and Supply Chain?

Supply Chain Game Changer

The 5 Levels of Supply Chain Transparency! The phrase “Supply Chain Management” was first coined in 1982. However as awareness and knowledge of the technology has been increasingly understood the words Blockchain and Supply Chain are more often used together. ” (Source: [link] ).