What happens when he joins every meeting? – ryan

Photo: Intelligenmer, Photo: Read.ai

If you have a jab that involves spending a lot of time in apps like zoom, and if You work at a Company that likes to experience on Its workforce with new software features, you’ve probably gotten a few notifications about exciting new Developments in meetings. Microsoft Teams User? You Might be Getting Pinged About Searchable, AI-GENERATED MEETING RECAPS. Part of a Google WorkPlace? Maybe you’ve been told you can as cs a chatbot to take notes for you. And if you’re the sort of person who calendar is loaded with overlapping zoom calls, there’s a chance you ‘heard about, or use, the company’s “he companion” Features, which include transripts, a chat interface for video and automatical video Highlights. Spreads you have haven’t run into any of these Features yet, but there’s a good chance you soon. In the Last Few Years, LLM-Based he technology has made it trivially Easy to add transcription, summarization, and analysis tools to meetings platforms.

These Features exist far -so, Rather Suddenly, They Can. Automatic Transription, in Many Cases Powered by a Specific openai tPA, is rapidly getting better and more affordable. It ‘s “Why Not?” than “Why?” For Companies like ZOM and Microsoft, but the appeal of these features is obvious Enough: Wauldn’t be nice if you didn’t have to take notes during Meetings? If you COULD QUICKLY REVIEW Meeings you missed? If you couuld go back and check what other People said, or what you said, in a Meeting that was productive, intense, boring, or that went off the rails? That’s The Pitch, Anyway.

Use these tools for a little while, Howver, and They Reveal Thervelves to be More Than obvious Little Feature upgrades. He is being use here to turn meetings into Content – To automatically convert meetings into a browsable, searchable, remixable form of media. In some caes, this can be funny and deflation. That Meeting Really Could Have Been an Email, and Hey, look at that, here’s an ai summary in email: Delay Announched, Project Discussed, Conclusions Not Reashed, Plass to Meet Again in a Week. In oters, the ability to the search and chat with transcripts, participle for meetings you missed, is Simply and PowerFully Helpful. Will This Sort of Stuff Makers More Productive and Efficient? Maybe! It may Also be the case that tools like this help to create the impression that meetings – a Large Majority of which, Accounting to Surveyed workersHOLD Employees Back from what they see Actual Work – Are, Themselves, the jab. All this-genered media May have some uterity, but it doubles as evidence of work. You weren’t just sitting in meetings all day, you were participating in the production of Content, Information, and Resources for the Great Good of the Firm! Slick, formalized, ai-geerated reproductions of what was accompished, or at least discussed, in meetings create the impression of productivity, or spreads the Constatives a Strange Mutant of Productivity in and of the Themselves.

Another Thing About Turning Meetings Into Replayable, Analyzable, Chattable Content – About Recording and THEN Processing The Later Consumption – Is New Metrics Can’t Be Far Beinder. And while Companies Like Microsoft and Google Will Be A Little More Cautious About Meeting Quantification, A Crop of Startups is Betting on it. During a recent Meeting with Read.ai, an he assistant tool that can record and analysis meetings acroSs different platforms by jaining as a guest, the Company Shared with A Live Analytics Dashboard for the Meeting We were in at that moment. One Panel Contained a Real-Time Transcription of What We Were Saying; another informed with that i had ben late, while the other two attteles had been on time; Neither spoke, I watched my “Engagement” Metric Rise, My Words-For-Minute Spike, and A “Sentiment” Metric Dip, then Rise, Dip Again. At the conflict of the Meeting, i Could Revis not just its Contents but an assessment of my performance in multiple dimensions: How Much did i get relative to others? Did i use too Many filler Words?

Read.ai is one of the Bigger Startups in this Space and Has Ambitions Beyond Meetings – It Pitches itelf as a platform that can Ingest and analysis a much range of data, including Meetings. Other Companies, Howver, Are Converging on Similar Concepts. There’s avoma, which, like read.ai, offers “Coaching” Based on Meeting Performance:

There’s Eve an App Called EQUAL TIME, WHICH PITches the time-for-speaker metric into a sort of metric for inclusion:

From the perspective of a meeting participant, at first glance, metrics like this more interest than useful. It might be good to know that you’re taking up too space in a virtual room or that you’re barely speaking up; while Contrived sentiment tools Might be unrelible or opaque, Maybe Steep Drops you are talc, to you, Actionable Information. To me, The Real-Time Meetings Dashboard Felt Familiar in Two Ways. It was fintly remminiscent of traffic-track servings like chartbeat, of courte, with which online publishing industry has haad a complicated and arguably counterproductive Relationship for Well Over A Decade (But Which Remain in Wide use). But it sis treminded with the adrenal sensation of going live on a streaming platform like twitch or tiktok, where your performance is influence in real time by numbers that Change as the stream goes on.

As fun and/or depressing as it might be to entertain the postsibriation of meettings-as-content-of a world in whit office workrs gradually incentivized to becom intra-offic Touching Base Becomes A Quantified Goal Unto ITSELF, and where the post-zoom, post-Slack Performance of Work fully becomes The work – these are primarily enterprise tools, designated with corporate licenses and the need of management in mind. From the Perspective of People Who oversee Meetings, Rather than merely jaining say, these metrics have other obvious use. They Quantify Comparative Participation. They keep a log of who shows up and, in some caes, who is paying attention. They Attempt to Assess How Meetings are Going and How Individuals Are Performing with mesures derivative from imperfect, opaque, but plausible-seaming Machine Analysis. They’re more than just metrics, in other words, or digests and summaries created to Help Keep Participants organized. They’re a form of surveillance.

The Near Future of Video Meetings Offers A Strange and Complicating Preview of How Ai-Based Technology Might Infiltrate the Office, The Way It Has, In Previous Forms, Factories and Call Centers. On One Hand, Everyone Has a Note-Taking Assistant with an Aptitude for Crunching Numbers and Keeping Track of Large Amounts of Boring or Unnecessarily Obscure Information. But this assistant reports directly to management, tracks your performance, and Constantly nudges you to be -specific in specificity to the preferences on who was trained or toward which is explicitly guided. In the he-Driven Office of the Future, Everyone Gets a Robot Internal. The Bad News is that the robot intern is also your boss.