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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

We will examine key data sources, real-world use cases, and how to approach analytics in travel. Learn more about the functions of internal systems with our dedicated articles about hotel property management systems and passenger service systems. Here, we will look at 4 key use cases of travel analytics.

Travel 52
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Unlocking accuracy, efficiency and agility through Continuous Touchless Demand Forecasting

Capgemini

Continuous Touchless Demand Forecasting is defined by Capgemini Invent as a capability that capitalizes on Big Data, Artificial Intelligence, and Machine Learning to “ recognize historical patterns, select best-fit statistical models, and draw on a variety of inputs and forward-looking variables, (.)

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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

Predictive maintenance involves the use of data analytics to identify potential equipment failures before they occur, reducing downtime and costs associated with equipment repairs. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130
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3 Things To Know About Remote Proctoring

Hacker Earth Developers Blog

Heightened student anxiety especially in those who are not comfortable with technology and prefer traditional test-taking methods. The online proctoring market is projected to reach US$ 1,187.57 By harnessing the power of AI, you can ensure exam integrity and security by leveraging machine learning technologies.

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Introducing Continuous AI

DataRobot

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. I’m careful to use the term “lifecycle.”. Models learn from old data and make predictions. Why do I think this?

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. This means that ML development teams can tackle their own ML business use cases more quickly, from those involving churn modeling, to sentiment analysis, to anomaly detection and beyond.

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Healthcare: Why Integrated Care Systems Need to Focus on AI and not BI

DataRobot

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. Learn more about the Snowflake and DataRobot partnership. Action to Take.