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Going back to our example of a smart vehicle, what we talked about is only a small part of what knowledge graphs can do in the automotive industry. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. Manufacturing and Industry 4.0
Graphs boost knowledgediscovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions.
Medicine uses the term “relative risk” to describe effect fraction when referring to the fractional change in incidence of some (bad) outcome like mortality or disease. This is very different than bricks-and-mortar companies where there are many marginal costs, such as sales, manufacturing, transportation.
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