A digital workforce is an adaptable team of software robots that works together in cooperation with human employees to accomplish repeated processes. These robots can be configured to take any systematic process that humans follow and can be even programmed to take up the entire workflow, freeing up human employees to do more high-value work. A digital workforce can be flexible on-demand depending on your business needs.
What does a digital worker do?
Like a human, digital workers perform multiple tasks in sequence sets, such as systematically submitting invoices from start to finish.
They are developed as prebuilt digital personas, linking selected virtual robots with cognitive, intellectual, and flexible capabilities emulating and communicating with human staff.
Over time, digital workers can learn to neglect certain things and prioritize other IT processes. Allowing them to function in positions such as accounts payable or IT operations with little or no oversight
Evolution of Digital Workforce
The implementation of the digital workforce to a workplace has undergone a series of evolution. This evolution is categorized below based on the complexity of the solution.
Robotic Process Automation (RPA)
RPA is the set of software with Artificial Intelligence (AI) and Machine Learning (ML) technologies to manage a large-volume, repetitive task that previously needed human workforce to perform. These activities include calculation, management of records, transactions, and queries.
Cognitive computing is the technology that uses a computerized model to mimic the process of human thoughts in complex situations where the responses might be unclear and uncertain. Cognitive computing aligns with AI and many of the same fundamental technologies to power cognitive applications, including robotics, virtual reality (VR) and ML.
Artificial Intelligence (AI) and Machine learning (ML)
AI refers to the technology of human intelligence in the machines that are programmed to think like humans and imitate their behavior. It can also be termed as any system that exhibits characteristics associated with a human mind, like problem-solving and learning.
Machine Learning (ML) is the form of Artificial Intelligence (AI) that enables software application to be more accurate in predicting outcomes without being specifically programmed to do so.
Machine Learning has algorithms that use historical data as input to simulate new output values.
Digital Process Automation (DPA)
DPA is a technology that uses software to execute processes and automate tasks to complete and optimize workflows. DPA focus on automating the activities involved in a variety of business practices that usually require some form of human involvement.
Implementing digital workforce management strategy
Benefits of the digital workforce
Risk management and controls
A digital robot cannot perform activities if it isn’t designed to do. Human error can cost too much for the organization, these errors and malicious actions can be prevented through the design of robotic automation that makes it nearly impossible to deviate from the best practices defined.
Compared to humans, automated robots can perform the same functions quickly and effectively.
The digital workforce is 100 % accurate, 100 % reliable and 100 % flexible. It increases quality by simplifying the process, preventing human errors and saves valuable time.
Operating costs are usually low; compared to other IT expenses which will make you wait for a long time for ROI to turn up, but by implementing a digital workforce you can achieve ROI within a short duration.
Easy to scale
Unlike the human workforce, robots can be scaled up and down comparatively easily. Digital workers can be implemented efficiently and cost-effectively. It is also easier to get the right numbers of staff at the right time.
Faster processing speed
Digital workforce simplifies operations that could have taken hours for human workers previously; Bots perform the same task in fractions of time. Once bots are programmed, they complete any task and can work without a pause until the task is completed.
Improve data accuracy
Human data are prone to errors, which affects the overall quality and efficiency of the work. By adopting digital workforce in the process, it eliminates those human errors by cross verifying it.
Digital workforce, with its data accuracy, quick processing, and flexibility, allows employees to focus on more essential duties. It covers the cost of human errors as well as the time it takes to identifying and fixing the error. Interaction with customers is more accurate and faster while, employees’ morale can improve by removing repetitive tasks.
Future: the rise of the digital workforce
In the future workplace, companies will maximize their work through automation, and digital workers will play an essential role. AI, RPA, ML and DPA will help the business to solve their potential issues, including manual shortlisting & classification, manual data processing, data errors. The digital workforce also helps in enhancing the business operations, better decision-making, customer services and minimize security risks.
Experts have identified Creative Intelligence and Social Intelligence will be computerized where Creative Intelligence will have the potential to come up with unique and clever ideas on a given condition or to develop creative ways to tackle a problem.
In Social Intelligence, Digital workforce will be smart enough to be aware of other’s reactions and understanding why they are behaving so and encourage them to change their behavior.