Ongoing Supervised Learning
Continuously revise caller responses for best match intent.
What is Ongoing Supervised Learning?
Ongoing Supervised Learning means constantly improving AI-powered machine learning systems, like Oration, by showing examples of caller responses and the correct matching intents. This allows the system to better understand the language used by callers. Unlike traditional ASR systems that require a lot of time and effort for tuning, Oration’s Ongoing Supervised Learning feature only requires a few minutes of mapping language to intents every day to keep the system running smoothly.
BENEFITS AND RESULTS: ONGOING SUPERVISED LEARNING
How does Oration’s Ongoing Supervised Learning feature work?
Oration provides contact centre administrators with a simple interface where they can see flagged caller responses that the system needs help with; these responses can be assigned to intents with just a couple of button clicks. The Oration interpreter then takes the mapped responses and uses sophisticated techniques to decide which intent is most relevant, removing the need for the administrator to have specialist speech science knowledge.
What makes Oration different?
Oration is an easy-to-use contact centre plugin designed to be implemented as an overlay to your existing contact centre technology infrastructure. A SaaS cloud-based solution, Oration can be up and running within a matter of days. Using a simple and intuitive interface, no specialist knowledge is required to make sure Oration’s understanding stays highly tuned to the callers’ language. By automatically flagging caller responses that require attention in real-time, call centre managers can retain complete control over their call flows by ensuring every response is mapped to the desired intent.
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