The AI microservices should not increase the pressure on resources. In fact for AI scheduling and AI forecasting data is now collected on the IC server and all processing is done in the cloud. In the past, the local forecasting and scheduling, as the only option, required resource utilization on the client machines for assembling the data and computing the schedules and forecasts, that will now be alleviated entirely.
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Charles Fico
Genesys - Employees
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Original Message:
Sent: 08-28-2019 13:26
From: Valerie Nadalin
Subject: Optimizer efficiency
Hi,
Are there plans to improve the tool's efficiency? It's a very resource intensive tool, and multiple factors can reduce its efficiency. Perhaps even more so in PureConnect Cloud. I'm wondering if some work would be done on that side?
If not, should we expect the use of AI microservices to increase the pressure on the resources even more?
#AskMeAnything(AMA)
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Valerie Nadalin
VIA Rail Canada Inc.
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