The 21st century is well acquainted with the words – Artificial Intelligence (AI) and Machine Learning (ML), and now, these phrases are entering the unified communications ecosystem as well. Be it the Cortana voice assistant in Microsoft Teams or information overload reduction technology in Slack; AI and ML are taking over everywhere.

Within the unified communications and collaboration market, AI applications have great potential across online meetings, smart headsets, room systems, enterprise messaging, and team collaboration. However, the question arises whether AI should be considered as an experiment within the UC ecosystem or if it has crossed that stage?

AI is Taking Over

The potential of AI in UC is evident to the end user as well as in the domain of IT. A series of actions can be automated to improve human-to-human collaboration for an end-user. AI can also sort through data—chats, emails, speech recognition—and recognize patterns and keywords, providing feedback based on the topic on which is the aptest way to communicate. Besides, AI can navigate through data and categorize it based on timeliness, productively and efficiently. 

Similarly, using AI to set up meetings ensures better resource management as it can recommend the best spaces based on the people attending the meetings and the topic of discussion. Moreover, it can also determine in-house team members and those that need to be connected through Skype. Additionally, AI can analyze vast amounts of data and UC logs for troubleshooting and significant problem-solving.