Data Science Applications
When it comes to inclusion, Data Science is a clear example of it. Data Science applications are many and are not limited to specific areas. As a consequence, Data Science projects require multidisciplinary teams to help in understanding the problem and building the solution. However, to successfully achieve the purpose of a project, the business objective to be solved must be clearly defined.
Data Science in Health industry
In the area of health , one objective to be achieved could be to increase the number of early detections of heart disease. To this end, health professionals could have a model with artificial intelligence capable of predicting a medical outcome, or its severity, collaborating in the diagnosis to be made by the physician. This could be built based on data extracted from a set of past medical studies.
Applications in Insurance industry (InsurTech)
In the insurance industry, the goal can be to reduce the number of customers who cancel their subscriptions after a certain period of time. Using Data Science it is possible to build a model in order to better understand which customers are more likely to stop using your services. This would allow you to take actions to avoid such cancellations. Learn more about churn prediction here.