Connect Nomi AI and AWS Lambda to Build Intelligent Automations

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Nomi AI

When this happens...

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AWS Lambda

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Enable Integrations or automations with these events of Nomi AI and AWS Lambda

Enable Integrations or automations with these events of Nomi AI and AWS Lambda

Triggers

Nomis Created

Nomis Created

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Actions

Create Chat

Create Chat

Creates a Chat.

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Frequently Asked Questions

How do I start an integration between Nomi AI and AWS Lambda?

To start, connect both your Nomi AI and AWS Lambda accounts to viaSocket. Once connected, you can set up a workflow where an event in Nomi AI triggers actions in AWS Lambda (or vice versa).

Can we customize how data from Nomi AI is recorded in AWS Lambda?

Absolutely. You can customize how Nomi AI data is recorded in AWS Lambda. This includes choosing which data fields go into which fields of AWS Lambda, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Nomi AI and AWS Lambda?

The data sync between Nomi AI and AWS Lambda typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Nomi AI to AWS Lambda?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Nomi AI and AWS Lambda?

Yes, you can set conditional logic to control the flow of data between Nomi AI and AWS Lambda. 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.

Nomi AI

About Nomi AI

Nomi AI is a cutting-edge platform that leverages artificial intelligence to provide advanced solutions for various business needs. It offers tools and services that enhance decision-making, automate processes, and improve overall efficiency through AI-driven insights and analytics.

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AWS Lambda

About AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information.

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