Brianna White

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Jul 30, 2019
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Intelligent automation adoption has soared since the start of the pandemic. Pre-Covid, organizations were inexorably moving from a digital strategy to an automated or algorithmic one. In the realization that new variants of Covid-19 are likely to (repeatedly) cause disruption, organizations have continued to accelerate their investments in more advanced automation to smooth out the bumps.
Intelligent automation is a subset of artificial intelligence (AI). It is the computerization of processes traditionally carried out by people. Moving beyond current automation technologies (such as robotic process automation), intelligent automation replicates more complex processes — especially those that involve human decision-making.
It gives organizations the opportunity to increase efficiency, improve customer experience and generate new revenues through automated digital products and services.
But organizations that take to the sky with intelligent automation programs — without properly understanding the success factors — risk dropping quickly back down to Earth.
Regulatory Headwinds
As François Candelon, Rodolphe Charme di Carlo, Midas De Bondt and Theodoros Evgeniou wrote in Harvard Business Review, "For most of the past decade, public concerns about digital technology have focused on the potential abuse of personal data." But now, "attention is shifting to how data is used by the software."
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/02/01/four-principles-every-organization-implementing-intelligent-automation-must-live-by/?sh=6f22b7f430ba
 

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