AI capabilities are rapidly maturing. More and more industrial products executives are actively determining where and how to leverage AI. But executives are also more discriminating about their organizational priorities for AI and how these leading-edge technologies are rolled out. These CxOs are highly focused on select priority business functions and value drivers for their AI investments. These areas emphasize revenue growth and the customer.

Artifical intelligence will bring many benefits to unified communications, but shallow, consumer-grade AI is not currently up to the task of helping enterprises, according to a speaker at the UC EXPO show. Networking analyst Zeus Kerravala told the London-based show earlier this month that a general set of problems persists in UC, mostly relating to system usability. These include uncertainty over who is in a meeting and who should have been invited, not knowing how to join a meeting, share documents or content, or how to make video features work properly. Future AI-enhanced UC systems could improve meetings with features such as: more intuitive call recording or transcription, perhaps based on keywords; facial recognition and automated identification to aid meeting set-up; or features such as intelligent speaker tracking. Looking further ahead, more advanced AI features could offer users recommendations on who should join a team meeting, proactively finding and loading useful content, or generating minutes.