Authors Posts by Ansgar Knipschild

Ansgar Knipschild

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It won’t be an easy one: Industrial insurance on the way...

Amazon is everywhere, sometimes as a role model, sometimes as a spectre - or both at the same time. The eCommerce giant also regularly serves as a basis for discussion in the industrial insurance sector as to whether a similar solution is not possible for the industry, through which insurers and brokers can present offers and policyholders as customers can place risks.

Microservices: Customer orientation makes a critical difference (Part three)

The previous parts of our series on microservices presented the functionality of this technology and explained its fundamental advantages. The third part describes some particularly important advantages in more detail. The focus here is on the individual adaptation of the customer experience.

Microservices: Data Exchange in Real Time for the Insurance Industry (Part...

Innovative technologies, in which insurance companies invest hundreds of millions of euros, make completely new applications possible. The focus here is on transmitting data in real time via microservices or similar technologies.

Microservices: An Innovative Platform for Insurers (Part one)

Many well-known Internet companies - such as Amazon, Twitter, Netflix or Uber - have built their platforms with microservices. This technology also offers numerous new opportunities in the insurance sector and can trigger innovations that extend to all areas of the company.

Industrial insurance 2.0: New business models are needed

Industrial insurers are facing major problems at the moment. Significantly higher loss ratios and increasingly fierce competition mean that the classic form of insurance is no longer profitable. For this reason, it is necessary to review the existing business models.

AI, Chatbots and Blockchain: Data quality first!

The many current project examples of the insurance industry like AI or Chatbots show that it makes no sense to develop the future if to the present day flaws exist. The point is that automated processes can only be as good as the data available to the