Hyper-Automation
Hyper-Automation
Gartner’s
first prediction in the ‘Top 10 Strategic Technology Trends for 2020’
is hyper-automation — ”a combination of multiple machine learning (ML),
packaged software and automation tools to deliver work.”
Hyper-automation builds on RPA, combining business process management
(BPM), AI, ML and data science to seamlessly automate multiple processes
within a coherent organizational context.
For
instance, in a hyper-automated logistics company, trucks can be
dispatched automatically based on traffic or weather predictions of the
journey. FedEx is experimenting with something similar to
hyper-automation — combining autonomous tugs, motion sensors,
computerized maps, 3D cameras, high-speed camera tunnels, data analytics
engines etc. for end-to-end automation at scale.
IN
2020, existing automation professionals must leverage their tech skills
like C, C++, Selenium, Cucumber, RestSharp etc, and BPM experience to
move into more holistic hyper-automation projects, for more meaningful
and impactful careers. here
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