Today, automation in the contact center is a necessity. Customers are busy and self-service provides a fast and efficient way for them to get things done. Consumers also recognize the benefits of using automated systems. In our recent survey, customers noted that when using an automated system, they see benefits such as:
- The convenience to get tasks done when they want to take care of them
- Speed of getting things done
- Not having to speak/type to a live person
The same survey also found that 64% of consumers would use a channel automated by AI to contact a business if they could get things done easier and more efficiently.
We rely on DataRobot to actually speed up model-building and get our models to production quickly to start making informed decisions immediately.
Cecilia Lopez
Head of Data Science, Carbon
Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities.
Predictive analytics is often associated with big data and data science. Companies today are swimming in data that resides across transactional databases, equipment log files, images, video, sensors or other data sources.
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Predictive analytics is often associated with big data and data science. Companies today are swimming in data that resides across transactional databases, equipment log files, images, video, sensors or other data sources.
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