AI: Text-To-Speech and Microsoft Power BI Integration

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AI: Text-To-Speech + Microsoft Power BI integration

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI: Text-To-Speech and Microsoft Power BI

Create a New Scenario to Connect AI: Text-To-Speech and Microsoft Power BI

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI: Text-To-Speech, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI: Text-To-Speech or Microsoft Power BI will be your first step. To do this, click "Choose an app," find AI: Text-To-Speech or Microsoft Power BI, and select the appropriate trigger to start the scenario.

Add the AI: Text-To-Speech Node

Select the AI: Text-To-Speech node from the app selection panel on the right.

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Configure the AI: Text-To-Speech

Click on the AI: Text-To-Speech node to configure it. You can modify the AI: Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Microsoft Power BI Node

Next, click the plus (+) icon on the AI: Text-To-Speech node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.

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Authenticate Microsoft Power BI

Now, click the Microsoft Power BI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Power BI settings. Authentication allows you to use Microsoft Power BI through Latenode.

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Configure the AI: Text-To-Speech and Microsoft Power BI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the AI: Text-To-Speech and Microsoft Power BI Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring AI: Text-To-Speech, Microsoft Power BI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the AI: Text-To-Speech and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between AI: Text-To-Speech and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect AI: Text-To-Speech and Microsoft Power BI

Microsoft Power BI + AI: Text-To-Speech + Google Sheets: Monitors Power BI reports for updates. When a new report is generated or an existing one is updated, extracts key data points, converts them into an audio summary using Text-To-Speech, and stores the summary along with the data in a Google Sheet for tracking and analysis.

Microsoft Power BI + AI: Text-To-Speech + Slack: Monitors Power BI for report updates. When a new report is generated, extracts key data, converts it to speech, and sends an audio notification to a dedicated Slack channel alerting team members of critical changes.

AI: Text-To-Speech and Microsoft Power BI integration alternatives

About AI: Text-To-Speech

Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

See how Latenode works

FAQ AI: Text-To-Speech and Microsoft Power BI

How can I connect my AI: Text-To-Speech account to Microsoft Power BI using Latenode?

To connect your AI: Text-To-Speech account to Microsoft Power BI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select AI: Text-To-Speech and click on "Connect".
  • Authenticate your AI: Text-To-Speech and Microsoft Power BI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I generate audio reports from Power BI data?

Yes, you can! Latenode enables scheduled automations, converting Power BI data to speech via AI: Text-To-Speech, delivering accessible, real-time insights to stakeholders, enhancing data comprehension.

What types of tasks can I perform by integrating AI: Text-To-Speech with Microsoft Power BI?

Integrating AI: Text-To-Speech with Microsoft Power BI allows you to perform various tasks, including:

  • Create audio summaries of key performance indicators from Power BI dashboards.
  • Generate voice alerts for critical data changes detected in Power BI reports.
  • Automate spoken briefings based on scheduled Power BI data exports.
  • Develop interactive voice-based data exploration tools for Power BI users.
  • Produce accessible audio versions of Power BI reports for visually impaired users.

What AI: Text-To-Speech models are available on Latenode?

Latenode supports various AI: Text-To-Speech models, including standard and neural voices, offering flexibility to fit your budget and quality needs.

Are there any limitations to the AI: Text-To-Speech and Microsoft Power BI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex Power BI report layouts may require custom formatting via JavaScript.
  • AI: Text-To-Speech generation is subject to the pricing and availability of the chosen service.
  • Data volume limits within Power BI's API can impact the speed of audio generation.

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