Remove Data Analytics Remove Descriptive Analytics Remove Enterprise Remove IoT
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Improve Underwriting Using Data and Analytics

Cloudera

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter.

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

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Integrating IoT and route optimization are two other important places that use AI. Enterprise Artificial Intelligence. Artificial Intelligence Analytics. Uncertain economic conditions. AI in Healthcare.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

In the enterprise, sentinel analytics is most timely and beneficial when applied to real-time, dynamic data streams and time-critical decisions. The goal is to discover novel, interesting, unexpected, and potentially valuable signals in the flood of streaming enterprise data. Pay attention! ” “91.9%

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

Sisense

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