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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.
To reliably predict customer demand, companies predominantly rely on statistical forecasting by selecting the most suitable model(s) for their products. …
read moreThis blog article introduces these concepts to help practitioners improve their demand forecasts and boost their demand planning process.
read moreAfter a short history of neural networks in our previous blog, this article focuses on the Perceptron as the most basic …
read moreWhen navigating through the world of Machine Learning, Artificial Intelligence or Data Science (you name it), it is usually not long …
read moreNowadays, Data is being gathered from IoT devices, social media and almost any (business) application we are using in our daily …
read moreThere is a strong competition among machine learning (ML) and data science platform providers, all claiming to possess a distinct edge …
read moreThe Internet of Things is basically about networking. But many IT managers are still not exploiting the potential of integration at …
read moreIn the age of Digital Transformation, companies should benefit from using Machine Learning (ML) techniques to improve their processes. A lot …
read moreThe SAP Innovation Awards celebrate the achievements of top companies and people across the globe that are using SAP products to …
read moreMobile apps are no longer an innovation. They are part of everyday life and the smartphone has long since replaced the …
read moreIn this blog article you will learn how your events and participants can be automatically synchronized in the SAP Sales Cloud …
read moreIn this blog post, we explain the three guiding principles of a future-proof grocery retail supply chain.
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