HomeCasinoLight & Wonder Develop Predictive Slots Maintenance Program

Light & Wonder Develop Predictive Slots Maintenance Program

Posted on: June 24, 2023, 03:51h. 

Final up to date on: June 23, 2023, 07:53h.

Gentle & Surprise and AWS (Amazon Internet Providers) have developed a technological program that the gaming developer, producer, and distributor believes can help the agency in higher servicing its issued slot machines.

Light & Wonder AWS slot machine maintenance
The Gentle & Surprise exhibition sales space on the 2022 International Gaming Expo in Las Vegas on Oct. 11, 2022. L&W lately teamed up with AWS to develop a machine-learning program that may detect the chance of a slot machine malfunctioning. (Picture: Las Vegas Solar)

L&W, previously Scientific Video games, spends a substantial amount of cash sustaining its roughly half 1,000,000 slot machines which can be presently working on on line casino flooring around the globe.

When slots malfunction, the terminals being offline value L&W’s purchasers by the use of decreased play. Such breakdowns may also dampen the patron expertise, as many gamblers have their recreation of alternative, and typically even their particular seat of alternative.

L&W tells On line casino.org the corporate, via its partnership with AWS, has provide you with a program that may predict when a slot machine may error. The progressive expertise was developed with the usage of knowledge supplied via Gentle & Surprise Join, which was additionally developed with AWS.

L&W Join gathers and disseminates near-real-time machine well being knowledge via a telemetric connection. Utilizing that knowledge, L&W says the corporate will obtain superior warning of machine breakdowns and can be capable of proactively dispatch a service staff to additional examine the alert.

For tech-savvy readers, an in-depth breakdown of the event could be discovered right here.

Exploratory Program

L&W cautions that its predictive slot upkeep program continues to be being perfected and is present process additional testing with solely about 500 machines presently sharing knowledge by way of Join.

The character of the undertaking is very exploratory —



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