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Top 17 Real-Life Predictive Analytics Use Cases

Marutitech

As you can never predict for one hundred percent what the future might hold, some practices come close to help you with the plans for the future. Predictive analytics is one of these practices. Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances.

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McKesson: Using Big Data to Improve Care and Save Lives

Sisense

a leading pharmaceutical distributor that delivers IT services to healthcare providers — has deftly altered its business in the recent past to integrate big data analytics and cloud computing into its existing infrastructure. In the healthcare sector, McKesson Corp. — Moving to the cloud helped transform the way McKesson operates.

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How To Improve Your Facility Management With Healthcare Reports

Data Pine

One of the most striking elements of healthcare reporting and analytics is the ability to harness the power of historical and current data to spot potentially fatal medical issues in patients before they occur. This is a testament to the essential role of predictive analytics in the sector. Disease monitoring.

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The Future of AI in Healthcare: Trends and Innovations

Cprime

– AI analyzes a patient’s medical history, genetics, and lifestyle to create personalized treatment plans, which is especially impactful in cancer treatment for diagnosing, personalizing treatments, and monitoring survivors. What is the impact of AI on remote monitoring of cardiac patients?

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Decision Intelligence: What It Is and Why You Need It

Domo

This is especially beneficial for transaction-heavy businesses, such as airlines and pharmaceutical companies. And they can monitor current employee satisfaction to better understand retention and predict future hiring needs. Talent management.