The shift towards employee-literate technology

April 5, 2018

From the beginning of Industrial Revolution, the overarching focus has been to make people technology-literate. Recent advances in technology, however, have flipped the script. Today, the push is to make technology people-literate.

This transformational shift in paradigm has been enabled by the rise of disruptive technologies such as artificial intelligence, cognitive computing, machine learning among others. Extrapolating Moore’s Law, we are witnessing a dramatic increase of computing power alongside drastic reduction in device-sizes and costs. The pace of change is exponential, and thus, the innovation is disruptive too.

User is the king

As technology moved from the confines of industrial use to domestic environment, there has been a concerted design to make them layman-friendly. The fall in prices is making technology accessible to the bottom of the social pyramid.

This has led to revolution in consumer electronics, the topmost exemplar of which is the near-total pervasiveness of smartphone. However, the enterprise world has not benefitted to the same extent. Artificial Intelligence-powered Conversational Applications are poised to transform the way enterprise workers do work.

Conversational applications are to become the active smart agent that mediates the interaction between the man and machine (or, more to point, an employee and computer).

  • No more User Guides or Manuals: Technology myopia has led organizations to train their workers in proper utilization of new software. Just as simple a task as recording an event or information is fraught with technicalities of commands and syntax. With conversational application, the employees need not concern themselves with the “how-to” of work, instead, focusing on “what” and “why” of it.
  • Natural, pervasive UX: There shall be no need of navigating through many screens to manage different aspects of the same task. Omnichannel user experience maintains the continuity of work even across the mediums, such as text, voice or click/touch. Therefore, isolated parts of task, across devices, space and timelines, are seamlessly unified and streamlined.
  • Intelligent Assistance: Armed with machine learning capabilities and proactive intelligence, the conversational application and autonomously provide unsolicited suggestions based on user history and behavior. In conjunction with enterprise data, the application can connect the dots in a human-like fashion and extract inferences, thereby offering an advanced level of intelligence to support smart decision-making. All this happens without requiring the user to churn vast amounts of data through analytics-engines in a bespoke manner, and manually assembling a confluence of decision-influencing data.

Social Enterprise Technology, world’s first enterprise platform to deliver conversational applications, makes it easier for organizations to put their employees at the center of technology framework. Thus, instead of requiring them to be technology-literate, the technology is made people-literate.

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