Intelligent Automation (IA) automates many of the complex tasks related to the creation of new automations. Not only does IA have the ability to execute rote automation tasks far more efficiently than a human ever could (e.g. structuring unstructured data), but it can tap Machine Learning (ML) functionality to identify value-building patterns, which it can use to make improved automations in the future.

IA will become an important facet of the modern hybrid workforce, where human workers regularly interact with Artificial Intelligence (AI) and other forms of automation. Not only does IA amplify the ability of engineers to build new automations quickly and efficiently, but it empowers all workers — regardless of technical knowledge — to build automations of their own.

Enhanced Automations

Traditionally, building new automations — particularly complex ones with cognitive functionality — is a challenging process involving many rote steps (just the kind that automation was meant to take off of humans’ hands). Machines can execute these steps far more efficiently than a human, and without errors.

For example, IPsoft’s intelligent RPA platform 1RPA automatically structures unstructured data, which greatly hastens the automation-crafting process. The platform’s Natural Language Reading (NLR) functionality allows it to read and understand web pages, emails, programs, or any unstructured text they encounter. IA allows your company’s automation engineers to be far more prolific and create automations that build value throughout the business. But that’s only one part of IA’s potential benefits for the workforce.

Opening Access

One of the most exciting possibilities for IA is its potential to open the automation-writing process to all workers, regardless of their technical backgrounds. Workers can use IA solutions to transform their knowledge and experience into automations that will build value into their particular business area.

Much of this accessibility will be due to the aforementioned automation of routine tasks. However, advances in the User Interface (UI) remove the need for arduous coding, which opens the process to workers from all professional backgrounds. As IPsoft Director of Cognitive Experience, Christopher Reardon wrote about the possibilities of this new paradigm: “Just as Graphical User Interfaces (GUIs) of the PC era simplified the UI and thus opened the power of computers to a wider swath of users, program design is now being simplified and becoming accessible to people from all sorts of backgrounds. Notably, so-called ‘low-code’ or even ‘no-code’ development platforms are opening the door to students and practitioners who don’t have advanced computer science training.”

For example, 1RPA includes a UI which allows users to hit a virtual “record” button which tells the system to observe their virtual actions by structuring all the data “on the fly” and organize it into a new automation (you can view the process here). Additionally, new AI-powered digital colleagues such as Amelia boast a Natural Language Interface (NLI), which enables a user to perform a complex task (e.g. designing an automation) through conversation. For example, an HR manager could simply say, “Please send an email notification to all employees when they use up all their vacation or sick days for the year.” This is a relatively simple automation, but one which might have required intermediation from the IT team in a previous technological era (or extensive automation training for the HR manager).

As workers increasingly work alongside AI and automation, IA will help make the process of maintaining these automations far easier and more accessible to all employees.

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