When training an AI-driven virtual assistant, harvesting and reusing knowledge assets is critical to success.
A good digital experience is about facilitating information flows between the organization and its customers. Whether answering questions on community bulletin boards, self service through FAQ’s, email communications, interactions with call center agents or text exchanges with bots, the objective is to give customers the information they need to use a product, make a selection, solve a problem and achieve their overall goal.
At the heart of this is knowledge in various formats. In the AI world, it is referred to as “training content” – the knowledge assets that support customers directly or indirectly. Whether training a support engineer or training an AI-driven virtual assistant, harvesting and reusing these assets is key. However in most large organizations training platforms, knowledge bases and support applications have evolved organically with different architectures, changing ownership, fragmented taxonomies and disparate approaches.
Some believe that AI and machine learning will solve this problem but while these technologies are promising, not every support application and knowledge source is amenable to a fully automated approach. Even when that is possible, certain elements have to be in place.
In this edition of the Earley Executive Roundtable, our panel of experts tackle such questions as:
--What does the changing technology landscape mean to support organizations, call centers, and customer service functions?
--Can knowledge be captured and structured for reuse in a sustainable, economically viable way?
--How can the customer be supported throughout their journey by knowledge that originates in different parts of the organization?
--How do processes need to evolve to provide an end to end seamless, positive experience?