Cognitive Technologies
19 October, 2020: By Ajoy Maitra

Amid such pandemic striken world, good news is the fast adoption of digital technologies and solutions in re-modelling business operations to a Next-Generation growth. With inbuilt pressure of absence or to regain full capacities of employment, businesses are somewhat forced to shift their paradigm to unveil the potential management solutions in terms of Artificial Intelligence or Robotic Process Automation (RPA).


Does Artificial Intelligence only constructs the block of solution for specific tasks? Rather, it signifies the importance of cognition that can mutilate the general conduct of responsibilities to a much efficient & quality driven performance. As per the Mc Kinsey report, AI has the potential to contribute in global growth wherein around 70% of the companies would be adopting some AI based solutions by 2030. The report also states that, the AI has the potential to deliver additional output to the economic growth of around $13 trillion by 2030 leading to a boost in Global GDP by about 1.2% a year.

A regular ERP system shares a common database into integration of fundamental structure of a data management in an organisation, simplifying the tasks of recording each sources of change manually to every system or departments. However, a transition to AI driven ERP system ensures deep analysis of future changes or spot variable trends in predicting results which may be difficult for an analyst to conceive. As per an L&T Infotech Whitepaper by Makarand Deolalkar,


Typically, the focus should be on repetitive, background tasks which can be automated to improve efficiency and reduce errors, freeing personnel for more added-value roles.



Cognitive Operations involve ways to automate the overall system in standardizing the capabilities of real time natural language processing and predicting future insights to perfection. Releasing the berriers to known horizons, artificial intelligence or the cognitive intelligence, which is a better way to describe intelligence, signifies the thinking power of a human in a machine - stimulating self-training capabilities to unlock a broadened approach where an unstructured data can be analysed in real time detection of important discovery to an enhanced decision making process. In a simple way, with such intelligence, tasks can be performed more accurately and an otherwise simple yet decisive data can be utilized to monitor key elements useful in a predictive analysis.

As per Deloitte Insights report,


The study, at the Cincinnati Children's Hospital Medical Center, demonstrated that the process of automatically identifying patients eligible for clinical trials, using natural language processing to read free-form clinical notes, and machine learning to refine the list of terms extracted from them, reduced the workload by 92 percent and increased efficiency by 450 percent.

Robotic Process Automation therein plays a vital role in easing out such complex tasks of data management or fast service solutions, wherein Cognitive Technologies enhance such operations into a multitude of potential usefulness derived out of a task concluding accurate results by perceiving, predicting and planning to reach a goal for better growth.