'How to Transform Your Data Into a Voice AI Knowledge Assistant' goodcompany artificialintelligence
in the knowledge graphs they consult to perform these tricks of effortless data access, and clever in how they return results that balance brevity with some helpful context.
At RAIN, we are working with a wide range of enterprises, from auto repair to construction to restaurants, to help realize the benefits of opening up new modalities and moments of data access by employees. By building voice AI-powered “knowledge assistants,” enterprises enable employees to retrieve data with greater ease and speed than ever before, which both helps retain employees by alleviating pain points and directly supports healthier bottom lines for businesses through efficiencies gained.
As this explanation indicates, the sequence of capturing and processing inputs and returning useful outputs can be challenging. But when these assistants work as designed, they are transformational, making an organization's knowledge base searchable in the most natural way possible. There are a few considerations each organization should keep in mind as it explores this exciting new domain of human-computer interaction.
Next, organizations need to determine what knowledge base and data feed their users require - and discipline in how data is managed. If general knowledge domains are needed beyond those specific to the enterprise , consider leveraging 3rd party providers rather than building it from scratch. Regardless of where data is coming from, it is critical to have a “single version of truth” that is continually curated by subject matter experts and accepted and trusted by end users.
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