Machine Learning

IT systems can generate knowledge from experience through machine learning. The basis for this is the analysis of huge amounts of data using algorithms. With the help of machine learning, IT systems identify patterns and principles in order to develop solutions. Here, you will find use cases and inspiration for applying machine learning in your company.

The basis for Machine Learning is the analysis of huge amounts of data using algorithms. Here, you will find use cases and inspiration for applying machine learning in your company.

Future Value Chain

A-Commerce: The Omnichannel (R)evolution

Welcome to the era of a-Commerce (automated Commerce)! In the future, machines will predict any kind of consumer product demand and –…

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Data & Analytics

Tackling AI in MDM with a Collaborative Innovation Approach

We expect the Master Data Management (MDM) discipline to undergo profound changes due to the application of machine learning (ML) and …

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Logistics

Digitally Enhanced Supply Chain Segmentation

Tailored services, SKU proliferation, lot size one – does that sound familiar? If it does you’ve either already segmented your supply …

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Logistics

Does AI have an Impact on how Shared Service Centers will be set up in the Future?

In this article we will explore how Artificial Intelligence will impact strategic decisions on the geographical location of shared service centers. …

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Data & Analytics

The Future (and present) of ML and AI in Master Data Management

Discover more about recent developments in Machine Learning and Artificial Intelligence in Master Data Mangement.

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Supply Chain Management

From S&OP to IBP: How to Succeed

Aligning demand and supply via Sales & Operations Planning (S&OP) is nowadays a standard across industries. Supply chain planning can become …

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Future Value Chain

The Path Towards Value Chain Excellence

In this blog post we introduce six key drivers for value chain excellence.

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Data & Analytics

The Cruciality for Data Modelling while Building a Data Architecture

Our blog articles provides insights on how data modelling builds the foundation for a data architecture.

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