Connect Eventzilla and H2O.ai to Build Intelligent Automations
Choose a Trigger
When this happens...
Attendee Check-In Changes
New Registration
Registration Is Updated
Choose an Action
Automatically do this!
- Request a new Action for H2O.ai
Enable Integrations or automations with these events of Eventzilla and H2O.ai
Enable Integrations or automations with these events of Eventzilla and H2O.ai
Triggers
Attendee Check-In Changes
Runs when attendee check-in changes
New Registration
Runs when new registration occurs
Registration Is Updated
Runs when registration is updated
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Frequently Asked Questions
To start, connect both your Eventzilla and H2O.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Eventzilla triggers actions in H2O.ai (or vice versa).
Absolutely. You can customize how Eventzilla data is recorded in H2O.ai. This includes choosing which data fields go into which fields of H2O.ai, setting up custom formats, and filtering out unwanted information.
The data sync between Eventzilla and H2O.ai typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Eventzilla and H2O.ai. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Eventzilla
Eventzilla is a do-it-yourself event ticketing and marketing platform that helps event organizers to sell tickets online, process credit card payments and promote events across social media channels.
Learn MoreAbout H2O.ai
H2O.ai is a leading AI cloud platform that provides open-source machine learning and artificial intelligence solutions. It empowers businesses to harness the power of AI to drive innovation and make data-driven decisions. With a suite of tools and technologies, H2O.ai enables users to build, deploy, and scale AI models efficiently.
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