Artificial intelligence has revolutionised every piece of technology it has touched. However, this augmentation -- for better or worse -- has also brought up a lot of confusion. With more and more AI application coming up in different fields, specifically in automation like Cognitive Automation, the conditions associated with it give the impression that the technology is artificially intelligent and seems to dilute the real meaning behind it. This poses a more significant problem as what qualifies as a mere application of AI can be called artificial intelligence. When we talk about automation and AI, there is a lot of buzz around cognitive automation as it uses technology to mimic human behaviour and precisely the reason why some people call it as cognitive automation artificial intelligence.
The rise of digital, mobility, internet and smartphone penetration and technologies such as 4G and 5G have created a proliferation in data consumption. The deluge of data has tested capabilities of systems and accentuated the need for these systems to incorporate automation and cognitive abilities. Cognitive automation is enabled due to AI-powered systems that possess natural language processing capabilities, can learn rules that govern processes, and engage human brings with reasoning. Such systems get better with each iteration, learn from each interaction, and become smarter over time. In terms of the input data that cognitive automation powered systems can manage, it includes images, language, unstructured data, etc.
For companies struggling to leverage digital transformation, there is new hero in town, and it's called intelligent automation. Intelligent automation is definitely much more than hype. But before companies carried away, they must understand and focus more on the "why", "where" and importantly "how" they want to use intelligent automation. Understand that the why is really about the business case, and how, being the approach (tools and process) and with where being the use case. It is imperative for business, be a SMB or enterprise to understated not just how this new solution can benefit, but also its limitations.
Each worker must be restricted from accessing applications immediately upon leaving the company. On average, each employee is credentialed in 12 applications, which translates into more than 2,400 individual access restriction requests for IT support staff every month. With the time it takes to offboard an employee, and the security risks involved, our client needed to find a way to handle offboarding requests immediately and at scale, regardless of when they were submitted, or how many were made. Thanks to 1RPA, our client was able to automate 100% of its offboarding tasks, and the procedure is now available anytime day or night. Mean Time to Resolution (MTTR) is down 81%.