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How MTSS Platforms Can Prepare the Next Generation of Supply Chain Professionals

SCMDOJO

For example, after completing a module on supply chain analytics, a student might receive detailed feedback on their data interpretation and decision-making processes. This iterative process of evaluation and refinement encourages a growth mindset, where students are motivated to continuously enhance their skills and knowledge.

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Intake & Orchestration in Procurement – Cutting Through the Jargon

Jaggaer

Until recently, procurement tech focused on generative AI: tools that could understand natural language, generate text, or assist with data interpretation. On the technology side, the push comes from the rising maturity of artificial intelligence itself.

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Integrated Service Management: Connect Teams and Processes with AI

Pipefy

They connect data, coordinate steps, and bring decision-making intelligence into your daily operations. Unlike static, manual processes, intelligent workflows work in dynamic loops: they collect data, interpret context, and adapt service flows based on what your business really needs.

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How Indigenous perspectives can guide climate innovation for a just transition: IBM teams up with Net Zero Atlantic in Canada

IBM Supply Chain Blog

” The design of “ACES Lite” is focused on enabling the user to navigate complex graphs, geographical models and data interpretations with ease. The design of “ACES Lite” is focused on enabling the end user to navigate complex graphs, geographical models and data interpretations with ease.

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Spend Matters Future 5 2024 – Introducing COVALYZE

Spend Matters

The next step in our plan is an even higher automation in data interpretation and visualization. More than just target price calculation, we want to automate the steps after a data set is uploaded, all the steps in analyzing what we call develop or demand management. What is the road ahead for COVALYZE?

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Networks unchained: the shift toward intent-based autonomous operations

IBM Supply Chain Blog

To succeed in the modern era, CSPs need versatile teams, including data scientists for data interpretation and operations, software developers for automation through vendor application programming interfaces (API) and service assurance engineers for designing closed loops to ensure service reliability.

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Real-time artificial intelligence and event processing  

IBM Supply Chain Blog

Unstructured data interpretation: Unstructured data can often contain untapped insights. AI excels at making sense of plain, natural language and interpreting other kinds of unstructured data that are contained within your incoming events.