Robotic Staff Joins Human Compatriots for Working Together Hand-In-Hand
Computing Technology and Artificial Intelligence have come a long way in the processing of sustainable changes across business verticals as well as personal stanzas.
- (1888PressRelease) January 19, 2020 - This computerized AI system acts in real-time as another resourceful head of a team that will not only be communicatively interactive but will also hold a significant role as a supervisor and administrator within the team. This will be the first instance of practical implementation of an AI system within the business vertical that is based out of human knowledge and progress that is being termed as ‘Machine Rules Man’ technology in the sustainable evolution of computing standards. The innovation is more than just a robotic helping hand of man but will undertake responsibilities and enrichment of business prospects through real-time interaction with human operators at various levels including administering concerned human staff without the technical ossification of customary AI functionalities like job automation or crunching big datasets.
The various functional areas of the business will find workflow efficiency, improvement in utilization of manpower and time resources. That will have considerable financial impact with less manual labor and minimized time ratios distributed across various jobs within the organization, with the AI system taking over substantial and significant responsibilities that add to the collective asset of the company or business.
The concept of robotic member of staff has been developed by Asim Datta and is based on the Servomechanism Principle” of Control Engineering, one of the most important theories for automation of mechanical instruments. The principle hypothetically generates feedback from the system based out of various informational error signals, a derivation of the current state within the target cycle which again acts as the initiator of the next signal to trigger movement of the system in an indefinite loop until the target is fulfilled. In the spectrum of a business framework, the generation of feedback is aimed at various business operational goals from within its own dataset, embedded with intelligence about organization’s operational policy and rules.
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