One of the persistent challenges is poor executive understanding in what AI/ML can do. McKinsey’s “Global Survey: The State of AI in 2020” indicates “Respondents at AI high performers rate their C-suite as very effective more often than other respondents do. This article is an overview of AI for executives to gain a better understanding.
Many terms describe the automation trend used by various organizations: Intelligent Automation, Cognitive Automation, Cognitive RPA, and even Hyperautomation. These are all variations on a theme, even if each source promoting them tries to distinguish them from each other. The bottom line is that Intelligent Automation is the combination of the process automation with some type of decision (inference) capability, typically Artificial Intelligence (AI). AI could be machine learning, deep learning, cognitive vision, etc. that infers a decision using data versus traditional programming. We will use Hyperautomation interchangeably with Intelligent Automation for practical purposes.
We explore how Intelligent Automation is achieved.
One of the key take-aways from Forester’s recent article “Ten Golden Rules For RPA Success” is that “RPA is easy to get into but hard to master, building your first bot is relatively simple but scaling an organization-wide RPA program is a whole different ballgame”. In this blog article we will address one key success…
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Companies that begin intelligent automation projects (RPA) believe that the processes they are focused on should be able to improve overall costs, increase productivity, and are relatively simple to implement. As a result, they believe that the project should be straight-forward, and they jump in and get started without defining a plan for the Intelligent…
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Mitigating Transformation Risk with Executive Buy-in There is a lot of hype around Artificial Intelligence (AI), Robotic Process Automation (RPA), and related emerging technologies. Unrealistic expectations, poor understanding, and internal resistance are just a few of the challenges we face. And yet, there are methods for how we mitigate this risk. We know that many…
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AI technologies are in the peak of their hype cycle. While there are certainly bold claims of what AI can do, it is not all hype, and it continues to find promise. Organizations are being swamped with data, and the challenge is in how to make use of all this data. One of the key…
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Intro In the previous post, “Creating Process efficiency in Accounts Payable with Process Automation, we demonstrated a digital transformation to improve Accounts Payable (AP) using process automation. Automation is a type of transformative process solution enabling shorter cycle times, a higher level of data quality, and fewer human resources to create efficiency. For example,…
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As mentioned in the previous article, Intelligent Automation is the intersection of process automation, and artificial intelligence (AI) technologies. In part 1, we talked about the role of RPA as a driver in improved quality, improved efficiency, and lowering the cost of business. This is achieved by software that can script every day human-computer tasks…
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Intelligent Automation, the combination of artificial intelligence and process automation, is posed to make a significant impact on business. Pick your favorite analyst or research report, and you’ll find that most executives agree that it has tremendous potential. Yet, the same reports indicate that companies are struggling to use these technologies. As we’ve talked with…
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