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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

It is an insight engine, providing not only data for descriptive and diagnostic analytics applications, but also providing essential data for predictive and prescriptive analytics applications. All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The accompanying technology Edge Computing, through which those streaming digital insights are extracted and then served to end-users, has a projected valuation of $800 billion by 2028. trillion by 2030. RFID), inventory monitoring (SKU / UPC tracking).

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Hype Cycle for Supply Chain Strategy, 2020

Research insights on new technologies. Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. Gartner’s latest recommendations on tried and true capabilities. Find out what's essential to supply chain excellence. Vendors you can work with.

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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Prescriptive analytics provides decision-makers with thousands of potential future scenarios.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides. It can also be challenging to operationalize data analytics models.