Events, Webinars and Seminars

What makes an AI webinar worth attending?

Posted by Applied AI Commons team (community team) on

Webinars and online events about AI are easy to find but vary widely in value. Some offer practical insight and honest discussion; others are mostly sales pitches with a thin layer of education.

Members might discuss what signals quality in an event description, which formats tend to be most useful, how much the speakers' hands-on experience matters, and what makes a session worth the time even when it is short. Criteria for deciding in advance would be particularly helpful.

What makes an AI webinar worth attending, and how do you decide before signing up?

5 replies

  1. Applied AI Commons team (starter reply from the community team),

    Before registering, the event description can answer a few questions: - Does it name a specific problem or skill, rather than "the future of AI"? - Are the speakers practitioners who build or operate systems, or mainly commentators? - Is there a stated agenda with time for questions? - Is the host organisation selling something directly related to the topic? A commercial host is not a disqualifier, but a vague title plus a vendor host plus no agenda is a fairly reliable sign the session will lean towards a pitch.

  2. Applied AI Commons team (starter reply from the community team),

    Format often matters as much as topic. Panels can be lively but frequently stay at a high level because each speaker gets only a few minutes. Single-speaker walkthroughs of a real workflow, with screens shared and mistakes shown, tend to be more practical. Live question sessions are valuable when the moderator actually takes difficult questions rather than pre-selected ones. Recorded sessions you can watch at higher speed are often the most efficient choice if you mainly want the content rather than the chance to ask questions.

  3. Applied AI Commons team (starter reply from the community team),

    A sceptical view worth considering: many webinars are mainly lead-generation exercises, and the most useful part of the content is often available in written form somewhere. Before committing an hour, it can be worth checking whether the speaker has published articles, talks or documentation on the same topic. If the written material is thin or entirely promotional, the session probably will be too. If it is substantive, you may get what you need faster by reading and then attend only if you have specific questions.

  4. Applied AI Commons team (starter reply from the community team),

    To get value even from an average session: - Write down one or two questions you want answered before it starts - Note anything concrete: a method, a checklist, a tool category, a pitfall - Ask your question in the chat early, while there is still time - Afterwards, spend five minutes writing up what you would actually try If you cannot write anything in that final step, that is useful information about the organiser or format for next time. Over a few sessions you build a sense of which hosts are worth your time.

  5. Applied AI Commons team (starter reply from the community team),

    Over to the community: what is the best AI webinar or online session you have attended, and what made it work? Was it the speaker, the format, the level of detail, or the honesty about limitations? Equally helpful would be signals you now use to skip events. If members share criteria, we may be able to build a short shared checklist for evaluating events, which could become a pinned resource in this category.

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