We Want to Hear From You! What Webinar Topics Interest You?

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DanHendriksen
DanHendriksen Moderator
in Community Announcements

Hi Domo Community!

We’re excited to announce that we’re gearing up to get our ACE webinar series rolling again, just like we used to! Before we start building out the schedule, we want to make sure we’re creating content that’s valuable and relevant to YOU.

What topics would you like to see covered in upcoming webinars? Whether it’s deep dives into specific Domo features, best practices for Agentic AI, building apps, tips for optimizing workflows, or something else entirely — we want to hear your ideas!

Please drop your suggestions below. Your input will help shape a webinar lineup that truly supports your learning and growth with Domo.

Looking forward to your feedback!

Thanks,
Dan Hendriksen
Director, Advanced Customer Enablement (ACE)

Comments

  • ArborRose
    ArborRose Coach

    I’d like to see webinars that explore working with data collections as opposed to standard datasets. For example, writing to a data collection using Python in the ProCode editor and then interacting with that collection in a workflow. It would also be great to dive deeper into how manifests play a role in that process.

    Additionally, I’ve noticed there’s a lot of interest in how to use forms effectively. A webinar that walks through creating forms that allow users to submit comments or feedback tied to specific records in a dataset would be really valuable. This would help us understand how to capture user input dynamically and store it in a structured, connected way.

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  • art_in_sky
    art_in_sky Contributor
    edited July 8

    @DanHendriksen I agree with @ArborRose

    Additionally, I would like to see webinars on building AI agents from scratch that address real-time use cases to help get started.
    I’m also interested in bulk PDF extraction to data collections using natural language queries, along with the ability to preview PDFs within dataset rows if that is feasible and web scraping of data for analysis.

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