September 2021 Summaries

Conversational AI, specifically voicebots, are transforming various industries. The process flow of a conversational AI voicebot involves audio capture, speech-to-text conversion, natural language processing and understanding (NLU/NLP), validation and business logic, response generation, and text-to-speech conversion. Key technologies involved include UCaaS, CCaaS, on-device applications, smart speakers, PBX, VOIP, speech-to-text platforms like Deepgram, Google STT, Amazon Transcribe, Nuance, and IBM Watson, NLU/NLP solutions such as OneReach.ai, Rasa, or Cognigy.ai, and text-to-speech providers like Agara.ai, Elerian.ai, and Uniphore. When choosing a development path for conversational AI, consider factors such as performance metrics, whether to build or buy the solution, communication platform approach (add on, all in one, or best of breed), and whether to opt for general or tailored solutions.

Deepgram, a Voice Recognition solution, has been named a High Performer in G2's Fall Report. The recognition is based on high levels of customer satisfaction and likeliness to recommend from real users. Deepgram was ranked #3 out of 11 Voice Recognition solutions. The company's hands-on approach to customer support and onboarding has been praised by customers. Deepgram will continue to collect feedback to improve its products and services, maintaining its High Performing G2 status.