INDUSTRY INTELLIGENCE POWERED BY THE DCA system , but first and foremost , in my opinion , it is the project definition . A poor definition of what is required and the constraints within which to operate will hinder the future deployment of Machine Learning much the same as it will hinder the initial design and manual refinement .
For today , although such advanced controls will always offer an edge , a welldesigned facility with a ‘ standard ’ system can still be optimised for a good level of performance gains through good initial design and constant review , indeed using many of the same tools which feed into an advanced ML platform .
In many ways , a modern facility with its extensive data collection and dynamic operation is ‘ ML ready ’ when the time comes , but in the meantime , it is critical to build up from the basics and invest in the definition and design , or the additional layers of the future will have a very poor foundation upon which to build . ◊
The proven potential of Machine Learning systems cannot be undervalued though , especially when it comes to the final incremental improvements in efficiency and performance . It is in this area where Machine Learning offers an impartial , multiskilled , constantly working and constantly watching , team member – one who is aware of the goals and can predict how these are best achieved . www . intelligentdatacentres . com
23