CIO
FEBRUARY 10, 2023
Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends. On the cutting edge of predictive analytics techniques are neural networks — algorithms designed to identify underlying relationships within a data set by mimicking the way a human mind functions.
CIO
NOVEMBER 20, 2023
Dynamic pricing Airlines, ride-sharing services, and online retailers have long used dynamic pricing to adjust to changing market conditions. Outcomes are fed back into machine learning models to improve prediction accuracy continually.
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CIO
SEPTEMBER 18, 2024
AirHelp, which helps airline passengers secure compensation for delayed, canceled, or overbooked flights, is recognized for its AI-powered chat system that appears to effectively handle common service-related inquiries. Bias can creep in at various stages of AI development and deployment, from data collection to algorithm design,” Ameen says.
Smart Data Collective
MARCH 27, 2020
A growing number of software publishers are using big data to improve the value of their algorithms. This contagious virus has led to the closure of factories, retail stores, airlines, hotels, and more or less, the entire tourism industry. Zipline uses incredibly sophisticated big data algorithms to accomplish these goals.
Zoominfo
AUGUST 29, 2018
In its most advanced form, it involves implementing an algorithm that monitors conversations and quantifies opinions, attitudes, and emotions based on a predetermined scoring system. It’s true– there are a number of tools that track and analyze customer sentiment using complex algorithms.
Zoominfo
FEBRUARY 17, 2020
In its most advanced form, it involves implementing an algorithm that monitors conversations and quantifies opinions, attitudes, and emotions based on a predetermined scoring system. It’s true– there are a number of tools that track and analyze customer sentiment using complex algorithms.
Data Hut
MAY 29, 2024
It will occur due to possible errors in the dynamic pricing algorithm. If elasticity is what the price is dependent on, you allow the algorithms to come up with a decision. Then, Amazon, with its Machine Learning algorithms, predicts product sales and sets the price accordingly.
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