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Data Science and AI in Insurance

With data science and machine learning, insurance companies have the opportunity to automate many processes, optimize products and services and create new business models.

Contact us

Data science and AI consulting for companies in the insurance industry

The potential of data and AI for the insurace sector

In addition to banks and other financial institutions, insurance companies are also facing the central challenge of digitalization. Although many insurers’ business models have been data-driven for decades, the industry has only recently begun to harness the full potential of data and artificial intelligence.

Many insurance companies have the advantage of already having many data sources and stores that have been built up over many years. With these it is possible to evaluate insurance risks, recommend individualized insurance products and predict future customer churn. n addition, customer service can be handled via AI-based chatbots, claims can be processed automatically, and potential fraud can be detected. IoT also creates the possibility of linking insurance premiums and services to usage and behavioral data in a personalized way.

Are you planning to use data science, machine learning and AI? Our team has already implemented a wide variety of projects in the insurance industry and can support you in the development and implementation of data science, machine learning and AI projects. Arrange a consultation to analyze your options and benefit from our experience from over 500 projects. We look forward to working with you!

Use cases of data science and AI in the insurance industry

Customer Churn

Identify customers who are willing to churn so that appropriate countermeasures can be taken in good time.

Chatbots

Use modern chatbots and digital assistants to improve your customer service.

Risk Assessment

Automate the risk assessment of individuals, companies or objects using AI.

Upselling

Use data-based recommendation systems to suggest the right insurance to your customers.

Claims Settlement

Automate the processing and triage of insurance claims and increase efficiency and customer satisfaction.

Fraud Prevention

Use machine learning to recognize which of your customers may be pursuing fraudulent intentions.

Damage Detection

Use computer vision to estimate damage sizes based on imagery.

Predictive Models

Predict the expected number of insurance claims or sales.

Our advantage

500 Data and AI Projects successfully realized
100 Customers from 10 industries
85 Experts from 17 fields of study
10 Years of experience in Data Science, ML and AI

Partner & Friends

Your expert for AI in the insurance industry

Would you like to exchange ideas with us on topics related to data science, machine learning and AI in the insurance industry? Or do you already have a specific project in mind? Contact us.

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marcel plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing