CASE STUDY
Based in the United Arab Emirates, Jebel Ali Racecourse is one of the most unique racecourse tracks in the Emirates of Dubai. The facility was built in 1990 and the first season kicked off in 1991 under the direction of HH Sheikh Ahmed Bin Rashid Al Maktoum. The Racecourse is widely known for its unique track, attracting regional and international trainers, top horses, and international jockeys. forms with precision and speed. The system had been burdened by slow manual processing, poor data accuracy, and time-consuming corrections. The rapid growth in visitors now required an advanced platform for intelligent document processing.
Jebel Ali Racecourse sought a transformative approach to document processing and data extraction.
Along with the growing fame and reputation of Dubai, and due to its cultural roots and heritage, Jebel Ali Racecourse has been in the spotlight for the past 10 years by providing an experience for both visitors and racers. With the objective to drive an even better visitor experience, Jebel Ali Racecourse adopted several digital initiatives, one of which was an advanced document processing solution from Kodak Alaris.
Growing pain points
The story began a few years back with a complex challenge: processing handwritten race session
Meeting visitor expectations was crucial, so the Jebel Ali Racecourse management team onboarded document imaging and extraction solutions which separated documents based on barcodes and attempted to interpret and extract handwriting. However, the results were not acceptable.
The extracted data was of low accuracy which resulted in bad visitor experiences and many complaints. As the number of visitors increased, the Pick and Win forms had to retain the intuitive experience of having race attendees completing and submitting it on the go. The need for a more
WHAT SET KODAK ALARIS APART WAS A MULTI-THREAD
COMMUNICATION APPROACH
WITH CLOUD AI MODELS TO DELIVER HANDWRITING RECOGNITION.
Image for illustration only
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