How DataKITE Power BI Uses AI to Enhance Data Analysis
DataKITE and Microsoft Power BI is a powerful business intelligence (BI) platform that helps users analyze data and create interactive reports. In recent years, Microsoft has been adding AI capabilities to Power BI to make it even more powerful and user-friendly.
Here are some of the ways that DataKITE and Power BI uses AI:
- AI Insights: This feature uses machine learning to help users identify patterns and trends in their data. For example, you can use AI Insights to identify the key drivers of sales or to find anomalies in your data.
- AutoML: This feature automatically trains machine learning models on your data. This can save you a lot of time and effort, and it can help you create more accurate and predictive models.
- Natural language processing: This feature allows you to interact with Power BI using natural language. For example, you can ask Power BI questions about your data, and it will generate reports and visualizations in response.
- Generative AI: This feature allows Power BI to generate new data based on your existing data. This can be used to create synthetic data for testing purposes, or to generate new insights from your data.
These are just a few of the ways that Power BI uses AI to enhance data analysis. As AI technology continues to develop, we can expect to see even more powerful and innovative AI features in Power BI in the future.
Real life DataKITE examples of how our clients are using AI in Power BI
Here are some examples of how businesses are using AI in Power BI:
- A retail company is using AI to identify customers who are likely to churn. They are using this information to target these customers with special offers and promotions in an effort to keep them as customers.
- A manufacturing company is using AI to monitor its production lines for defects. This allows them to identify and fix problems early, before they cause major disruptions.
- A healthcare company is using AI to analyze patient data in order to identify potential health risks. This allows them to provide preventive care to patients and improve their overall health outcomes.
These are just a few examples of the many ways that businesses are using AI in Power BI to gain insights from their data and make better decisions. As AI technology continues to develop, we can expect to see even more innovative ways to use AI in Power BI in the future.
How can you get started with AI in Power BI?
If you’re interested in getting started with AI in Power BI, there are a few things you can do:
- Take the Power BI AI Fundamentals course: This course will teach you the basics of AI and how to use it in Power BI (https://learn.microsoft.com/en-us/training/powerplatform/power-bi)
- Read the Power BI AI documentation: This documentation provides more detailed information about the AI features in Power BI (https://learn.microsoft.com/en-us/training/powerplatform/power-bi)
- Experiment with the AI features in Power BI: The best way to learn how to use AI in Power BI is to experiment with the different features (https://learn.microsoft.com/en-us/training/powerplatform/power-bi)
