
When this happens...

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of Synthflow AI and Databricks
Creates a SMS action
Creates a transfer call action
Creates an action of type information extractor yes no
Creates an action for open questions
Initiates a real-time voice call through the AI assistant.
Creates a new Databricks cluster for processing tasks.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Synthflow AI and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Synthflow AI triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Synthflow AI data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Synthflow AI and Databricks 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 Synthflow AI and Databricks. 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.
Synthflow AI is a no-code platform for creating voice AI agents that automate inbound and outbound phone calls, from answering questions to booking appointments and sending SMS follow-ups at scale. It targets contact centers and BPOs with enterprise-ready, white-label agents, 200+ integrations, and multilingual support to reduce costs and improve response rates
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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