A branch of Artificial Intelligence (AI) and Computer Science, Machine Learning focuses on the use of data and algorithms to imitate the way humans learn, gradually improving its accuracy. It is of utmost importance in these technologically driven times as it holds the tremendous potential to automate umpteen business processes based on all the previous generations of software development methods.
Automation is one of the key factors that can propel the success of an enterprise. In addition to improving the efficiency and productivity of the employees, it fundamentally helps in improving the quality of the outcomes.
From Windows-based automation, Web-based automation to Citrix-based automation, umpteen automation tools have come to the fore in recent times.
Although the technology has advanced, few elements are still missing from these tools. Firstly, the ability to automate an end-to-end process involving process steps working through the heterogeneous systems, applications and technologies. Secondly, the “intelligence” aspect of automation.
Over the past 5-10 years, many tools/products have come to the fore. These offer a comprehensive solution to automate a process end to end working through heterogeneous systems. These help to automate activities/tasks irrespective of whether the applications are running on the web, on the desktop/windows, or in a virtual environment.
These come under the category of Robotic Process Automation (RPA), a computer software that enables one to configure a software robot to copy human interactions within digital systems in order to execute business processes and activities.
The robot has the ability to interpret, work through heterogeneous systems and applications, trigger responses and communicate with other computer systems to perform various repetitive tasks.
Businesses across the globe have been extremely receptive to these tools owing to their potential to leverage the existing infrastructure without causing disruption or replacement of the underlying systems.
Surprisingly, Machine Learning has been making significant gains in Africa. IDC analysts have projected that spending on AI in the Middle East and Africa is expected to maintain its strong growth trajectory as businesses continue to invest in projects that use AI software and platforms.
Here are the various ways in which AI will improving the business process management
RPA (Robotic Process Automation) is a software empowered with machine learning and AI that helps to handle a large volume of
redundant processes that would otherwise need the services of a dedicated human workforce.
Business Process Implementation (BPM) is an intensive process that requires significant financial investment as well as time. RPA, on the other hand, is profitable and makes use of the available resources. Thus, BPM ideas can be implemented with RPA techniques in a tight budget.
AI can be effectively used to learn, observe and analyze data sets collected from various channels. Businesses can use these details to determine their plan of action.
AI is capable of identifying patterns that the human eye cannot interpret. This will be helpful in identifying fraudulent activities related to online transactions or segmenting prospects.
From self-driving cars to practical speech recognition and effective web research, Machine learning has given us a whole lot. It is so persuasive in today's times. The researchers also believe that it is the best way to make progress to the next level.