adesso BLOG

The insurance industry is increasingly shifting its focus to customer centricity in order to ensure a stable and growing customer base. The transformation from a contract-centred to a customer-centred business model brings challenges and opportunities. It requires not only a strategic realignment, but also fundamental adjustments to the data model and IT architecture. This blog post highlights the differences between the models and their implications for data management and technology.

Modern insurance companies are increasingly relying on knowledge agents to provide their employees with quick access to comprehensive expertise and answers to complex questions. But how can this be done without compromising data protection? A hybrid approach could be the key: external AI models are used for question processing, while sensitive data is processed internally only. Find out more in our blog post.

The increasing energy consumption in IT is a major challenge for insurers. With the Green Software Workshops from adesso, we support you in initiating a sustainable IT transformation. From energy-efficient programming to the use of renewable energies – our workshops provide practical approaches and tools for reducing the ecological footprint and lowering operating costs. In my blog post, I present our Green Software Workshops in more detail.

Insurers are also modernising with cloud providers such as Amazon, Microsoft and Google. Global usage has increased thirteenfold since 2010. By 2025, revenues are expected to grow by 20 per cent to US$825 billion. In Germany, growth is estimated at 20 per cent. The use of cloud environments is standard, 'cloud first'. What are the challenges facing companies and how can they be tackled effectively?

AI has been the megatrend of recent years. No company, no trade fair, no provider can do without this magic word. And yet, when it comes to insurance companies, I see a clear reluctance to use these methods in practice. In my blog post, I show how TrustworthyAI makes the use of artificial intelligence in the insurance industry safe and efficient.

The first two parts of my blog post dealt with the general opportunities and challenges of AI, specific applications of generative AI and AI in the various phases of the customer journey. In the third and final part, I take a closer look at the future developments of AI in the insurance sector.

Imagine an insurance company decides to modernise its entire IT landscape. The technology is ready, the plans are drawn up, and yet the project encounters unexpected obstacles. The reason? No, not the poor preparation phase this time. The human factor. In this blog post, I highlight the human aspects of IT transformations in the German insurance industry and show why they often mean the difference between success and failure.

This is the first part of my three-part blog post on the role of artificial intelligence (AI) in the insurance industry. In this first part, I focus on the general opportunities and challenges of AI as well as specific applications of generative AI. The focus is on marketing and sales.

In a world where technology is advancing relentlessly, the various insurance intermediary professions need to adapt the way they work in order to stay relevant. But how do insurance intermediaries feel about this new technology? I answer this question in my blog post.