27 October 2023
Business intelligence is becoming smarter and more powerful than ever thanks to recent advances in artificial intelligence and machine learning. In this post, we'll explore how you can harness the power of AI to supercharge your Power BI dashboards and reports. Integrating AI capabilities into Power BI unlocks a wealth of benefits, from automated insights to improved forecasting and beyond. Taken from JBI Training's Power BI and AI training courses.
Let's dive in!
Power BI already contains some built-in AI-powered features such as Key Influencers that detect relationships in your data. However, to really unlock advanced AI capabilities, we need to connect Power BI to Azure Cognitive Services.
Azure Cognitive Services offer pre-built AI algorithms for vision, speech, language, knowledge, and search. There are specific cognitive services tailored for Power BI integration. Here are some key ones to enable:
To add these cognitive services, go to the Power BI portal online and navigate to Manage > Admin portal. Under AI, click "Add AI Insights" and select the desired cognitive services from the list. Authenticate with your Azure account. The APIs are now ready to use!
Let's look at some practical examples of how to leverage cognitive services to create more intelligent Power BI reports.
The Text Analytics API makes it easy to gauge sentiment from qualitative feedback and reviews.
Simply connect it to a text column, and it will return the detected sentiment (positive, negative, neutral) for each row. These sentiments can then be visualized in charts and graphs to monitor trends.
This enables insightful analysis of customer satisfaction surveys, social media comments, support tickets, and more.
The Anomaly Detector API automatically spots anomalies in time series data based on expected patterns.
When connected to a time series, it flags any outliers or unexpected spikes. This makes it easy to visualize and pinpoint anomalies for investigation.
Useful for monitoring IoT sensor data, server metrics, or financial KPIs. Automatically highlight significant deviations from the norm.
Azure Machine Learning integrates seamlessly with Power BI to improve forecasting accuracy.
Machine learning forecasting models account for non-linear trends, seasonality, and autocorrelation in time series data. This leads to more robust and reliable forecasts vs traditional methods.
Boost revenue projections, demand planning, budget forecasting and other predictive analytics with machine learning.
The Q&A Maker API creates a conversational bot that allows users to query your reports using natural language.
Users can ask questions in everyday language, and it will return the most relevant visualizations and insights.
Make dashboards interactive and engaging while delivering insights through casual conversation.
Here are some additional tips when enhancing Power BI with cognitive services:
AI is transforming BI by boosting automation, insight discovery, prediction capabilities and more. Integrating Azure Cognitive Services can make Power BI dashboards smarter and more actionable.
We've only scratched the surface of the possibilities here. For more guidance on upgrading dashboards with AI or learning data science skills, check out the courses available from JBI Trainings. The future of business intelligence is cognitive - power up your analytics today!
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