Use these first principles to succeed with robotic process automation In 2020 – ZDNet

Let's just say that one measure of the hype that surrounds any emerging technology is the amount of new (and largely superfluous) jargon that it generates.

The market for robotic process automation (RPA) has been in hyper-growth for a while now. RPA and its extension into intelligent automation (IA) is an important market because it forms the tip of the spear for broader enterprise automation. We've previously estimated that IA technologies will release $134 billion in labor value by 2022. Meanwhile, the hype surrounding them is incessant, with vendors and pundits racing each other to create new words to describe capabilities. Often, these terms end up muddying the waters and confusing buyers. Lost amid the clamor is rational, pragmatic advice around how to succeed with RPA.

Research from Forrester shows that just 52% of enterprises have progressed their RPA initiatives beyond their first 10 bots. What gives? Just as with any other new enterprise technology, automation is a program that needs to be nurtured. Building your first bot may seem simple, but scaling an organization-wide RPA program is a whole different ball game.

In new research, my colleagueCraig Le Clairand I cover important considerations to keep in mind, whether you are starting out or looking to scale your RPA program. Here are a few of the themes that we uncovered:

This post was written by Principal Analyst Leslie Joseph, and it originally appearedhere.

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Use these first principles to succeed with robotic process automation In 2020 - ZDNet

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