CIO
JUNE 13, 2023
The biggest worries are coming from websites that recognize how their data may be used to train AI models. A number of high-profile software failures at companies like Southwest Airlines or EasyJet show how code that runs well most of the time can also fail spectacularly.
CIO
JUNE 12, 2023
Many handle the word a bit carelessly,” says Charlotte Svensson, CIO at SAS, the Scandinavian airline. The company also lets AI make 3D models to follow a construction or streamline internal training. “We But it’s important to be vigilant and painstakingly sort through all products that have an AI label.
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Altexsoft
JUNE 25, 2022
The latest estimates by IATA show airlines alone lose a minimum of $1 billion annually because of payment fraud. Such tools are trained over lots of data to look for anomalies that can alert the business to potentially fraudulent activity patterns. Key fraud victims: Travel sellers and airlines. Chargebacks fraud.
Openxcell
JUNE 29, 2018
It extends through customer support, marketing, sales and training to any ongoing field operations. Enhanced model visualization through its 3D technology. Right from retail and finance to insurance to automobiles and airlines, companies are exploring blockchain technology for its possible benefits in day-to-day business operations.
Openxcell
JUNE 29, 2018
It extends through customer support, marketing, sales and training to any ongoing field operations. Enhanced model visualization through its 3D technology. Right from retail and finance to insurance to automobiles and airlines, companies are exploring blockchain technology for its possible benefits in day-to-day business operations.
Openxcell
JUNE 29, 2018
It extends through customer support, marketing, sales and training to any ongoing field operations. Enhanced model visualization through its 3D technology. Right from retail and finance to insurance to automobiles and airlines, companies are exploring blockchain technology for its possible benefits in day-to-day business operations.
Altexsoft
MARCH 12, 2021
The first step in sentiment analysis is obtaining a training dataset with annotations to tell your algorithm what’s positive or negative in there. Acceptable by size, a corpus of labeled political tweets still will give poor results for training a model that will analyze hotel feedback. So, let’s start!
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