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Improve Underwriting Using Data and Analytics

Cloudera

IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Integrating IoT and route optimization are two other important places that use AI. Artificial Intelligence Analytics. Tasks which include billing, scheduling, operating machines like forklifts and workforce management can be enabled with an AI-driven warehouse management system, fleet management system or freight management system.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Cognitive analytics is basically the opposite of descriptive analytics. In descriptive analytics, the task is to find answers to predetermined business questions (how much, how many, how often, who, where, when), whereas cognitive analytics is tasked with finding the business questions that should be asked.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. “We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”.