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11.
Machine learning adapted process model
Efficient bidding process: requirements and provider evaluation
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CPQ systems (Configure, Price, Quote) enable companies to make the quotation process in subscription management more efficient.
They support flexible pricing…
12.
Machine learning adapted process model
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Our guide to the customized process model for
the successful use of machine learning
Machine learning is the technology of the future and can generate active added value from your data that goes beyond traditional data…
13.
Productive AI solutions with machine learning operations
Scaling AI-based products with MLOps in the cloud
You have shown with a proof of concept that your use case works with your machine learning algorithm? And now you plan to develop a productive, marketable product? It's not rare that the…
14.
bill-X ActiveDB
bill-X ActiveDB
bill-X's Active DB is a central data platform that is used to generate digital twins. This provides companies with a digital ecosystem for mapping objects, processes and actions and developing digital business models.
The…
15.
PTC ThingWorx
Features of the ThingWorx IoT Platform
The industry-leading platform for industrial innovation convinces with achieving fast results and a noticeable increase in efficiency thanks to the standardised core functionalities of the ThingWorx…
16.
Advanced analytics and machine learning
How can we support your advanced analytics project?
Frequently asked questions on the way from PoC to marketable solution
What are my ideas and goals? What is it I want to know, find out or be able to predict? (Automatic detection of…
17.
Guide to intelligent anomaly detection
Find out in our white paper why anomaly detection is a central component of efficient DevOps processes and how intelligent monitoring solutions can precisely identify unusual behavior in time series. Using a practical example, we show how…
18.
Template for data products
The white paper provides a clear guide to the development and use of data products, including best practices and application examples. It helps companies to use their data strategically to create sustainable business models and competitive…
19.
Guide to successful data visualization
Sprungmarke Anfang
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We live in times of an information explosion. Good data visualization is needed to maintain an overview and make data-driven and reliable decisions. We will show you how to create the right dashboards…
20.
Data analysis for optimisation of after-sales processes
Requirements of the machine learning solution
Fast, efficient decisions Available data is relevant and meaningful Data can be evaluated and displayed quickly and easily Data is readily accessible to a wide range of users on…