The Basics of Generative AI and How It Integrates with Power BI

One of the toughest ways for Power BI users is to ensure that they are able to consistently design reports. And even then, reports might not look the way you want, nor do they offer you the quality and design comprehension you need. That’s why you have to rely on external sources, but those can be very expensive and not easy to use. It’s exactly why a lot of people started using generative AI in Power BI, and with great success.

Microsoft created Fabric, which is a tool that works extremely well with Power BI. You can use it to automate data management. In doing so, you can speed up processes, adjust your workflow, while also generating AI reports. At this time, Figma can be integrated within Power BI as an add on, and there is an extension version as well.

How can you use generative AI in Power BI?

One of the clever ways to use AI within this tool is to use AI insights. These can help you perform sentiment analysis, along with image tagging, key phrase extraction, language detection and others. Generative AI can be just as efficient in regards to creating and beautifying reports.

The main focus when it comes to Power BI and using AI with it is to acquire as well as process data. AI can be great if you want to access machine learning features and it speeds up data collection. In addition, it can help circumvent the loss of data, while beautifying its presentation!

There are different use cases for generative AI in Power BI, as you will notice. For example, generative AI can be very useful in data preparation. It can provide insights into business processes, along with cataloging information, enriching data and masking/redacting info. When it comes to data analysis, it can auto-generate dashboards and reports, but also recommend assets according to usage.

Prediction can also benefit from generative AI, since you can make the segment analysis quicker. It’s also possible to generate new models, and you can have access to those with some supporting code as well. Then we have natural language generation in the form of data stories, NL driving prep and NL queries.

Is it secure to use generative AI in Power BI?

Security is a major concern and that’s why Microsoft has implemented safeguards like using data anonymization, offering granular access control and establishing an auditable trail. Secure authentication is also very prevalent when you use generative AI, since you only want to offer access to select users.

You won’t need to worry about Power BI security if you use generative AI. The embedded tools found within Power BI can easily help you generate outstanding AI content, without the need to worry about copyright or any other similar problems that might arise.


Generative AI can be consistently used in Power BI, be it for creating reports or harnessing the available data in creative presentations. Despite the fact that Power BI is not an AI tool at heart, it has many AI features that can help save both time and resources. With great generative AI, you will find that Power BI can easily enhance your workflow, while saving both time and resources.