Posted by & filed under AI/Artificial Intelligence, Future of Work.

Data-driven development
Most businesses today understand that automating business processes is not just about putting a few bits and bytes in the right places. However, past experiences with voice and chatbots have often left customers with a negative impression of what they are capable of. Business leaders often perceive conversational AI offerings as readily available, off the shelf solutions that can immediately transform any legacy environment into one that leverages AI to its full potential. In reality, in order for a system’s potential to be maximised, itrequires customisation and continuous development as a strong brand is not exclusively defined by a good product or particularly creative marketing, but also by excellent service. 
Automating customer experiences is only part of the story. In order to increase and deliver better value, in-house developers must be provided with usable data that is able to be analysed and assessed at speed. Having access to this data means developers are able to better identify customer pain points when interacting with their business. Likewise, better data management facilitates a streamlined environment, enabling businesses to allocate resources to the relevant areas and, above all, save on costs that might have been spent on less impactful tactical engagements.

Source: TechNative

Date: April 19th, 2022



  1. “This is where the role of the conversation designer becomes integral for success – and needs to be fully integrated into the business in order to achieve results. ” (emphasis added). “Conversation designer” is a new Future of Work role that did not exist before AI-interactive bots. What skills might it take to be a “conversation designer”?
  2. Why is data so important for the “conversation designer”?

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