Building Services,  Insurance

Machine learning delivers smarter homes and sustainable living

uptodate is focused on smart homes and sustainable living. Zühlke supports the corporate start-up of the insurer Versicherungskammer Bayern in becoming a Data Driven Organisation.

Mit Machine Learning zu Smart Homes.

uptodate wants to use data science to enhance the customer experience and offer new services. To achieve this, they need to identify which ideas showed most promise and then verify and implement these ideas. At the same time they also need to build the required infrastructure – from dashboards and data storage to machine learning models. A key point from the outset is ensuring regulatory compliance in handling customer data.
 

New, cloud-based data infrastructure 

Zühlke assembles a project team and uses its international pool of data scientists, machine learning experts and data engineers to ensure maximum flexibility in adapting the team to any new challenges. Working with experts from uptodate, the team identifies promising use cases, validates the business case for these use cases and uses agile methods to support their implementation. In an iterative process, this produces a cloud-based data infrastructure based on concrete applications. 

The joint team also developes measures to ensure GDPR compliance, such as automated, full deletion of data records on request.

Startup becomes a Data Driven Company 

The new infrastructure enables uptodate to apply and scale machine learning models. Machine learning models for churn prediction, image processing, recommender systems, etc., generate genuine added value for uptodate and provide invaluable insights. Specially tailored dashboards enable the start-up to ensure that all decisions are based on data – uptodate has become a data-driven organisation.

The newly developed processes ensure that all GDPR requirements are met and enable effortless, lightweight integration of new data and applications.

Zuhlke Data Driven Company

Data-driven organisations work more efficiently and make more founded decisions. We know this from client projects and the survey of 110 international companies for our study "Data-driven companies: the path to strategic use of data". What are the typical obstacles for businesses? And how can you overcome them?

Zühlke Florian Hacklinger
Contact person for Germany

Florian Hacklinger

Director Solution Center / Group CISO

As Director Solution Center for Finance & Logistics, Florian Hacklinger is responsible for innovative (software) development projects in service-related industries such as finance or insurance. In changing roles such as developer, project manager, trainer or mandate manager, he looks back on over 20 years of experience in software development.

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