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Modern large-scale automation systems integrate thousands to hundreds of data points. Demands for more flexible reconfiguration of production systems and optimisation across different information models, standards and legacy systems challenge current system interoperability concepts. According to experts, this has become an increasingly important problem that needs to be addressed to fulfil these demands in a…
The post Rethinking The Way We Do Machine Learning: An Engineering Perspective appeared first on Analytics India Magazine.
Modern large-scale automation systems integrate thousands to hundreds of data points. Demands for more flexible reconfiguration of production systems and optimisation across different information models, standards and legacy systems challenge current system interoperability concepts. According to experts, this has become an increasingly important problem that needs to be addressed to fulfil these demands in a…
The post Rethinking The Way We Do Machine Learning: An Engineering Perspective appeared first on Analytics India Magazine.