Digital enterprises want and need to be able to distribute information faster to achieve desired goals. Analyzing and extracting insights from audio sources is one way that enterprises can evaluate large volumes of content faster, organize the contained information, and distribute it throughout the business.
Auto-transcription is a strong solution for the issue of keeping people up-to-date on critical business events and information. Now that enterprises have more remote and on-the-go employees, voice analytics can essentially produce summaries of meetings so that people can have a record of what was discussed, and non-attendees can be kept in the loop.
Voice is one of the dominant forms of content today, so when it comes to voice analytics, enterprises will need to sufficiently address unstructured content within voice-based communications to take full advantage of a medium they already use.
Content quality and analysis is a crucial success factor for enterprises, and with the increasing amount of voice content, automated audio transcription and sentiment analysis are just a few of the applications that can enable deeper insights for enterprises.