Adaptive Communications
Director, Writer, and Psychologist in india
Adaptive Communications: Adaptive Communications is a new approach to digital conversational interfaces, first conceived and developed by Adaptive Communications startup, Hyro. In essence, Adaptive Communications refers to capabilities endowing any communications channel, e.g., chatbots, virtual assistants, voice assistants, smart speakers, call centers, etc., with the adaptability and flexibility required to match the scale of growth of enterprises.
Adaptive Communications is based on advanced language-based techniques such as computational linguistics and knowledge graphs. Rather than following pre-set guidelines (as most AI conversational interfaces do), Adaptive Communications Platforms (ACPs) model the human language and are capable of parsing sentences and understanding context. Adaptive Communications Platforms generate and save companies millions of dollars by fully automating their customer-facing (and in many cases internal) communications channels. Their unique composition eliminates costly and energy-consuming manual deployment, maintenance, and updating rounds. Their understanding of natural language and context allows them to fill in for or replace live support staff.
Introducing the World’s Adaptive Communications Platform: Already widely adopted across U.S. healthcare organizations such as Novant Health, Weill Cornell Medicine, Mercy Health, and Montefiore Health System, Hyro’s Adaptive Communications Platform ensures easy bi-directional communication, through text, touch, and voice capabilities, between its clients and their end-users. As opposed to rigid intent-based chatbots and IVRs, Hyro’s platform is both linguistics and knowledge-based, meaning that its conversational AI learns human language first then continuously layers use cases on top of that understanding engine. Providing those conversational interfaces with such a strong lingual foundation allows large enterprises to keep pace with ever-changing content, datasets, and customer demands. As data is added or adjusted across websites, databases, CSVs, APIs, and other sources, Hyro automatically updates its knowledge graph so that the information provided to end-users remains accurate.
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