adesso Blog

On 13 May 2024, Open AI published the new Large Language Model GPT-4o. The ‘o’ stands for ‘omni’ and already points to one of the model's great strengths, namely the intelligent interaction of text, audio and images. In my blog post, I show what these new possibilities mean for Gen AI use cases in the financial sector.

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.

Everyone makes GenAI and that's right! But despite the hype surrounding GenAI, the fundamental field of machine learning (ML) must not be forgotten. Because there is still a lot of untapped potential for companies here. Few people understand what artificial intelligence (AI) actually includes and how to use it optimally for their own business. We have gained a lot of experience as trainers and based on this we have created suitable training offers.

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.

With more than 15 billion pieces of content generated by 2024, AI is demonstrating its deep integration into the digital world. The number of tasks that AI can take on is constantly increasing, meaning that it is becoming more and more integrated into everyday life. One example in marketing is the generation of image material by providers such as Midjourney, Adobe Firefly and Dall-E. This blog post provides an overview of the current legal situation and the dangers of using AI.

One of the major global challenges is the climate crisis. It has been with us for some time now and is manifested, among other things, in the increase in climate-related extreme weather events. AI can also provide support in this context. This blog post shows in which scenarios this can be the case, how the use of AI works and what hurdles there are.

AI is indispensable for companies' customer relationships in the digital world. It automates processes, analyses data intelligently and adapts content in real time. This enables customer needs to be better met, customer behaviour to be analysed in detail and all touchpoints of the customer journey to be optimised. I present further insights and solutions in my blog post.

The growth in the importance of artificial intelligence (AI) in recent years cannot be attributed to individual factors, but rather to the synergy of various interconnected and mutually reinforcing advances. Five factors are fuelling the rapid development of the AI movement. This blog post shows what these are in detail.

With advances in the field of artificial intelligence and machine learning, object tracking algorithms such as Multiple Object Tracking (MOT) and Single Object Tracking (SOT) are becoming increasingly intelligent and enable more accurate and faster object tracking. In this blog post, I show how MOT and SOT perform in different situations and present the results of an experiment that sheds light on the ideal application of object tracking.