The phrase "automation knowledge" is correct and usable in written English.
It can be used when referring to the understanding or expertise related to automation processes or technologies.
Example: "To excel in this role, you must possess strong automation knowledge, particularly in robotic process automation."
Alternatives: "knowledge of automation" or "expertise in automation".
As automation knowledge within the company was limited, capabilities have been developed and demonstrated together with selected research partners in a technology project named Autoflex.
Object-oriented database systems have been approached with mainly two major intentions in mind, namely to better support new application areas including CAD/CAM, office automation, knowledge engineering, and to overcome the 'impendance mismatch' between data models and programming languages.
Finally, the combined ontology-based MAS approach is especially beneficial considering the complexity and heterogeneity of the involved disciplines: home automation, knowledge representation, modeling and processing, AI, machine-learning, and context awareness.
Hence, the automation of knowledge through a knowledge-based system will greatly enhance the decision-making process.
The automation of knowledge work is way, way farther along.
He is at work on a book about automation in knowledge work.
The Middle Precariat, as the 2013 McKinsey Global Institute report on disruptive technologies explained, will only grow, as highly skilled workers are put on the chopping block and the "automation of knowledge work" expands.
For example, the report suggests that we're going to be seeing a lot of "automation of knowledge work," with software doing things that used to require college graduates.
By 2025, the 12 technologies — led by the mobile Internet, the automation of knowledge work, and the Internet of Things — have the potential to deliver economic value of up to $33 trillion a year worldwide, according to the McKinsey researchers.
The remaining 10 on their list are the automation of knowledge work; the "Internet of things"; advanced robotics; autonomous vehicles; next-generation genomics; energy storage; 3-D printing; advanced materials; advanced oil and gas recovery; and wind and solar energy.
Engineering intelligent software systems that can process large data sets using unstructured commands and subtle judgments and have the ability to learn 'on the fly' are a significant step towards automation of knowledge work.
