IBM Supply Chain Blog
JANUARY 26, 2024
As a result, networks have become increasingly hard to manage. IBN has the potential to improve network management and could become a game-changer in addressing the talent gap within telcos. Today in CSPs the service order typically arrives over the TMF 641 interface from the service order manager (SOM).
Let's Talk Supply Chain
FEBRUARY 19, 2024
Guest Bio: As the Director of Digital Supply Chain Transformation at SDI, a pioneer in MRO and facilities maintenance solutions, John Delligatti stands at the forefront of driving digital innovation in supply chain management. 25.38] Why the ZEUS Supply Chain Analytics Guidebook is for all supply chainers, not just data analysts.
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IBM Supply Chain Blog
NOVEMBER 29, 2023
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. Promote sharing and reuse while maintaining control and governance.
Supply Chain Game Changer
DECEMBER 1, 2022
For instance, using a program like Maptive can enhance data interpretation while continuing to integrate Google Maps into the software. Virtually every industry can unpack the data within a geographic analysis, with the most common areas including: Supply Chain Management. What Could Location Mapping Be Used For?
Empowering CPO
JUNE 27, 2023
At its core, spend analysis empowers businesses to unlock the hidden potential within their procurement data, leading to improved cost savings, supplier management, and overall procurement performance. This enables them to strengthen supplier relationships, negotiate improved terms, and effectively manage supplier risks.
IBM Supply Chain Blog
FEBRUARY 22, 2024
This must be communicated from the outset, and there must be a recognition of the practices, skill sets and thoughtfulness that need to be put into models and their management to monitor performance. The method merges best practices in data science, project management, design frameworks and AI governance. They must have power.
IBM Supply Chain Blog
APRIL 12, 2023
Second, everyone in the CSP’s organization must be able to leverage the data, irrespective of their technical know-how (of course with the prerequisite that the data access policies allow the access). The analytics layer comes on top of the data layer. Finally, the top layer is the automation layer.
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