Page 19 - Food&Drink Magazine Jan-Feb 2019

augment the skills of engineers and operators by enabling them to concentrate on the operation of the plant rather than sift through copious amounts of sensory data.
WHERE TO FROM HERE?
Some challenges remain for MOVUS and other firms looking to push the adoption of AI by businesses. One of the biggest issues is that the algorithms and models which underpin AI systems are viewed as something of a black box, and potential customers can be put off by systems they do not understand. But positive results for early adopters, as with Asahi, will go a long way to building confidence in the ability of AI systems to deliver improvements.
MOVUS’ service business model also relies on its ability to continuously improve its offering to clients.
“Clients can vote for features they want to see in the product or on the analytics dashboard,” Parsons says.
“Our development cycle for an update is two weeks, in which time we can have the improvement rolled out to all of our clients.”
Further, as more data is collected over time and across a range of client machines, the capability of MOVUS’ AI-driven analytics to predict and avert machine failure will continue to improve. To this end, the future looks bright for both MOVUS and AI in general. ✷
TECH FOCUS
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