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What is predictive analytics? Transforming data into future insights

CIO

Hotels, restaurants, and other hospitality industry players can use the technology to forecast the number of guests on any given night in order to maximize occupancy and revenue. The technology helps adopters in fields as diverse as finance, healthcare, retailing, hospitality, pharmaceuticals, automotive, aerospace, and manufacturing.

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What is data analytics? Analyzing and managing data for decisions

CIO

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

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How Graph Analytics is Helping Improve Personalized Healthcare

CIO

Why Graph Analytics is Important for Healthcare Hospitals deal with stockpiles of data. Every touchpoint is stored in a hospital’s electronic health record including visits, prescriptions, operations, and immunizations. Graphs can make previously unavailable connections from disparate data spread across many different platforms.

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4 Ways Predictive Analytics Will Improve Healthcare

Smart Data Collective

Diagnoses accuracy will improve, and this will occur with the help of predictive algorithms. Algorithms could, potentially, use this information to determine if the patient should be sent home or if the patient is having a heart attack. Changes for Hospitals and Insurance Providers. Diagnoses Accuracy Will Improve.

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Importance of Data-Driven Cybersecurity for Medical Device Companies

Smart Data Collective

This is why hospitals should not use the outdated device for collecting and storing data. Scarily enough, the FDA found that many US hospitals were using outdated medical devices. The hospitals should train their employees on online threats and ways to deal with them. These devices were especially vulnerable to cyber-attacks.

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What Is Multilayer Perceptron Classifier And How Is It Used For Enterprise Analysis?

Elegant BI

The algorithm tends to achieve the same accuracy ratio even with smaller data. Let’s look at an example of Multilayer perceptron analysis, involving the potential for opportunity results, based on factors like Revenue, Total days(qualified), Total. How is a Multilayer Perceptron Classifier Used in Analysis? Patient’s Weight.

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How AI-Driven Cybersecurity Drastically Impacts Our Lives

Smart Data Collective

We have talked extensively about the benefits of using AI for marketing, gaming, financial analysis and many other applications. They typically rely on some of the most sophisticated AI algorithms to ward off cyber attacks. The latest malware protection tools rely on complex AI algorithms to work efficiently.

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