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Azure Databricks Confidential Compute

Azure Databricks Confidential Computing presents a revolutionary solution specifically aimed at protecting confidential customer data within regulated industries. Through our strategic partnership with Microsoft and Databricks, we unlock not only the immense value that your data can offer but also ensure the highest level of privacy and security during large-scale analysis of sensitive information.

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Our partner network

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How BD Rowa reduces the downtimes of order picking systems

Becton Dickinson Rowa Germany GmbH (BD Rowa) is one of the world’s leading manufacturers of order picking systems for pharmacies, hospitals and pharmaceutical wholesalers.

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Digital transformation: evm turns its data into value

Energieversorgung Mittelrhein (evm) is the largest municipal energy and service company in Rhineland-Palatinate. A total of 340,000 customers are supplied with green electricity, natural gas, heat and drinking water by the approximately 1,000 employees.

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Digital transformation in heating technology: How to predict malfunctions and reduce consumption costs

An internationally leading manufacturer of heating systems demonstrates what is possible when data is used consistently. Together with ORAYLIS, the company wanted to tackle the digital transformation and create new values on different levels through continuous monitoring of the extensive heating data.

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Analysis of receipts down to item level: Retailer gains maximum benefit for business

In retail, the analysis of cash register receipts can be a source for a variety of business improvements. However, not all receipt data analysis is the same, as the example of one of our customers shows. The large retail group was already using cash register data as a decision support tool. But only historical evaluations could be made on aggregated data. Ad-hoc analyses were also hardly possible. So the potential of the extensive existing data was only rudimentary unlocked.

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How to make your production more efficient with real-time data

Production processes have to be as efficient as possible for companies to survive in global competition. This was also recognised by one of our industrial customers, a global leader in the manufacture of special pumps. Together, we implemented a monitoring system based on real-time data for its entire production line and achieved a large number of improvements as a result.

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How innogy is preparing for the future with a digital platform

In many companies, long-standing analytics systems are increasingly reaching their limits. They can no longer cope with the constantly growing number of users and data – and with them the ever-increasing demands on data analysis. The energy supplier innogy also found itself in this situation and turned to us for help.

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GermanPersonnel: Digital transformation with new customer services

GermanPersonnel is one of the leading providers of software and services for employee search on the internet in Germany. The company cooperates with Germany’s largest recruitment agencies and job portals.

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Predictive maintenance: machine builder inspires customers with AI-based forecasts

In global competition, efficient production processes are a decisive factor for success. Against this backdrop, digitalisation offers manufacturers of machines and production lines many opportunities to inspire their customers with data-based services from the field of Artificial Intelligence (AI). For example, we have implemented prognosis scenarios for predictive maintenance for a globally operating machine manufacturer, which significantly increase the efficiency of the manufactured plants.

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Predictive Policing: How criminals are tracked with Artificial Intelligence

For the police department of one of the largest cities in Germany, we developed an AI solution for predicting crimes – so-called predictive policing.

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Digital platform gives mobile provider a competitive edge

Like all mobile phone providers, one of our clients was struggling with the massive competition and cost pressure in the industry. At the same time, the company’s extensive data hid a variety of potentials to differentiate itself from the competition and to complete the digital transformation.