The collaboration industry is closely watching appetite to pay for generative AI – and Metrigy’s research has shown how willing and how much companies are ready to spend.
As 2024 unspools, we’re certain to see generative AI as the persistent thread running through product announcements from collaboration application vendors, just as it will for employee experience platform providers, as I noted in my previous post. The implications of this technology are simply too big to ignore.
GENERATIVE AI FOR COLLABORATION
My colleague, Irwin Lazar, president and principal analyst for workplace collaboration technologies at Metrigy, sees generative AI as being nothing short of transformational in terms of how we collaborate and communicate in the next year and beyond. He points to many examples of generative AI-powered capabilities now available or coming from collaboration providers.
For video meetings: Invited attendees, whether in attendance or not, could receive meeting summaries and recaps. Attendees joining late could receive notes to catch them up on what they’ve missed prior to signing in. Attendees who do not speak the language of the speaker or other participants could request auto-translation or transcriptions. Meeting hosts could get sentiment analysis on participant reactions and conversational input throughout a meeting.
For team messaging: Employees could get assistance composing and modifying messages or receive summaries of messaging threads.
For email: Employees could get writing assistance, including tone and style.
Generative AI, perhaps like no technology before it, has gone from general awareness to widespread familiarity and use in short order. In Metrigy’s December 2023 global research study on the total cost of ownership (TCO) of unified communications as a service, which includes meetings and messaging, 85.5% of 386 participating companies said they consider themselves “very familiar” with generative AI assistants.
This is a case in which company size does not matter; for this study, we gathered input from companies both large and small. However, most fell within the midsize range of between 251 and 2,500 employees, with the mean employee count at 1,651 and mean annual revenue of $3.05 billion.
WILLINGNESS TO PAY FOR GEN AI
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