Let's Talk Supply Chain

FEBRUARY 19, 2024

In our workforce, more and more people are being asked to work with large amounts of data, interpret it, and act upon it – but they’re not necessarily trained to.” 25.38] Why the ZEUS Supply Chain Analytics Guidebook is for all supply chainers, not just data analysts.

supply chain software solutions 52

supply chain software solutions supply chain budgeting Supply Chain Optimization Supply Chain Efficiency 52

IBM Supply Chain Blog

JANUARY 26, 2024

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.

Networking 101

Networking Data interpretation Data Management 101

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.

Data interpretation 89

Data interpretation Data Sourcing Import 89

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. What Could Location Mapping Be Used For? Location map software applications vary depending on the functionality and features. A few uses for location map software include: Route Optimization.

supply chain software solutions 52

supply chain software solutions Route optimization Supply Chain Optimization Supply Chain Efficiency 52

Empowering CPO

JUNE 27, 2023

Data Normalization: Data normalization involves adjusting data values to a common scale or format. This enables fair comparisons and accurate analysis by accounting for variations in units of measurement, currencies, or other factors that may impact data interpretation.

Procurement 52

Procurement Supply Chain Optimization Real-time Visibility Procurement strategies 52

IBM Supply Chain Blog

FEBRUARY 22, 2024

Make sure that this metadata is interpretable and that the right information is exposed to the appropriate personnel. Data interpretation takes practice and is an interdisciplinary effort. Capture key metadata to render AI models transparent and keep track of model inventory.

Ethics 98

Ethics Supply Chain Efficiency Data Risk 98

IBM Supply Chain Blog

JANUARY 26, 2024

” 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.

Innovation 116

Innovation Data interpretation Sustainability Strategic planning 116