Let’s see what’s next for conversational AI.
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Whether it’s adding a language, porting to a new channel, or redeploying your digital employee to work in another department, being able to use much of the original build not only reduces overall cost but also enables projects to be realized in faster timescales. While some conversational AI products claim to enable development over multiple languages and channels, they typically mean that while it’s possible, each new deployment requires a total new build. As enterprises widen their use of conversational AI to expand current projects and deliver new implementations, it’s becoming abundantly clear that those businesses able to reuse resources have a distinct advantage.
Part of this is because of the way the development tools have been designed themselves, operating more like black boxes rather than a series of modules that can be adapted as operational needs scale. Or, as Gartner puts it, “Through 2020,80 percent of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization.”
This prediction is bad news for businesses already committed to rigid bot-framework-type tools, which may work for point solutions but won’t solve the challenges of organizations facing a vast number of digital transformation projects.
