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The goal of online advertisements is to get users to click on them. There is a vast market for optimizing online advertising and its creative design. A/B tests are commonly used to determine which target audience responds best to various types of ads. However, these extensive tests are often limited by human and financial resources.

 

AI can automate the creation of A/B tests and the design of advertisements. Additionally, AI allows for the definition and targeting of much more specific audience segments.

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By leveraging this technology effectively, a small Harley-Davidson dealer in New York, for example, was able to increase his sales leads by 2930% in just one year.

In sales, AI is utilised for conducting churn analyses. The term "churn" combines "change" and "turn," and its objective is to determine the likelihood of a customer ceasing to purchase or, worse, switching to a competitor in the near future.

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Churn analysis leverages various parameters such as frequency of contact, order frequency, and the way a customer formulates their messages and word choices. AI uses these factors to calculate the aforementioned probability. Subsequently, appropriate measures are selected and implemented based on their likelihood of success.

AI is playing an increasingly significant role in dermatology. With AI, skin cancer can be reliably detected without tissue samples. According to a study, doctors identify benign moles with a success rate of 87%. AI, however, already achieves over 95% accuracy and continuously optimizes itself. For skin cancer detection, the AI only requires images taken with a dermatoscope.

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In addition to dermatology, significant successes can also be achieved in radiology. Especially with extensive MRI scans, such as lung screenings, where typically 600-800 images need to be reviewed. It is challenging for a radiologist to manage this alone, but AI can provide excellent support by pre-selecting relevant images and making preliminary diagnoses. 

AI has the potential to revolutionize education by automating and standardizing grading, which frees up teachers to focus more on individual student support. It can assess students, tailor its approach to their needs, and help them progress at their own pace.

 

AI tutors can offer extra assistance to keep students on track. In the long run, AI can transform the learning experience, providing new ways for students to learn and easing the workload on teachers.

Artificial intelligence is extensively used in resource trading and stock markets. AI can predict the development of stock prices using regression analysis, quickly assess information from various news sources, and take appropriate actions.

Already, over 50% of stock market trading is conducted through automated systems.