What is Power BI AI Lens?
AI Lens for Power BI is a feature that allows users to incorporate artificial intelligence directly into their Power BI reports. It provides tools and functionalities to leverage AI capabilities within the Power BI ecosystem.
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How to use Power BI AI Lens?
To use AI Lens for Power BI, users need to first enable the feature in their Power BI account. Once enabled, they can access AI Lens within the Power BI interface and begin exploring various AI functionalities. Users can utilize pre-built AI models and algorithms, or create their own custom models using machine learning techniques. The AI Lens provides intuitive visualizations and insights to enhance data analysis within Power BI reports.
Power BI AI Lens's Core Features
The core features of AI Lens for Power BI include:
1. Pre-built AI models: Users can leverage a wide range of pre-built AI models and algorithms to extract valuable insights from their data.
2. Custom model creation: Users can train and deploy their own custom machine learning models within Power BI for more specific analysis.
3. Intuitive visualizations: AI Lens provides interactive visualizations to showcase AI-driven insights in Power BI reports.
4. Natural language processing: Users can utilize natural language queries to interact with AI Lens and obtain AI-generated insights.
1. Pre-built AI models: Users can leverage a wide range of pre-built AI models and algorithms to extract valuable insights from their data.
2. Custom model creation: Users can train and deploy their own custom machine learning models within Power BI for more specific analysis.
3. Intuitive visualizations: AI Lens provides interactive visualizations to showcase AI-driven insights in Power BI reports.
4. Natural language processing: Users can utilize natural language queries to interact with AI Lens and obtain AI-generated insights.
Power BI AI Lens's Use Cases
AI Lens for Power BI can be used in various scenarios, such as:
1. Predictive analytics: Users can apply AI models to predict future trends and outcomes based on historical data.
2. Anomaly detection: AI Lens can identify unusual patterns or outliers in data, helping users detect anomalies and potential issues.
3. Sentiment analysis: Users can leverage AI-powered sentiment analysis to understand customer opinions and emotions from text data.
4. Forecasting: AI Lens can assist in data-driven forecasting, helping users make informed business decisions.
1. Predictive analytics: Users can apply AI models to predict future trends and outcomes based on historical data.
2. Anomaly detection: AI Lens can identify unusual patterns or outliers in data, helping users detect anomalies and potential issues.
3. Sentiment analysis: Users can leverage AI-powered sentiment analysis to understand customer opinions and emotions from text data.
4. Forecasting: AI Lens can assist in data-driven forecasting, helping users make informed business decisions.
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