Artificial intelligence euphoria has taken Businesses and Markets by storm. Enterprises are using AI to transform their businesses, processes, and resources by leveraging AI tools and technologies.
One application that most organizations use for Data, Analysis, and Business Intelligence is Microsoft Power BI. Fortunately, Power BI offers unique Artificial Intelligence capabilities in both functional and visual forms.
Power BI comes with several software services, apps, and connectors, which collaborate to offer amazing dashboarding capabilities and highly interactive visualization.
Power BI enables users to fetch data from almost any source, transform it, visualize it, and slice and dice it as per the business requirement. Users can share the Power BI reports online or via Power BI Mobile apps.
In this blog, we will give you an overview of AI features and capabilities available within Power BI. We will provide a higher-level explanation of some interesting AI features, and their use cases, and then cover AI-enabled reports.
Power BI work roles are broadly divided into 3 parts and each consists of some insights or AI features:
Q&A Visual, Key Influencers, Decomposition Tree, and Smart Narrative.
Text Analytics, Vision, AI Insights Section, Azure Machine Learning.
Q & A Setup, Q & A Section, Linguistic Schema, and Language
Here are some of the key AI features of Power BI:
It’s the latest no-code capability that comes with the Power BI platform, which enables users to automate processes and workflows and also allows them to predict possible outcomes. With AI Builder, one can incorporate intelligence into their applications with no data science or coding prerequisites.
It is a helpful feature that performs activities such as object detection, form processing, and binary and text classification.
These services are pre-trained ML (Machine Learning) models that can fetch deep insights from vast datasets from various resources. These services are integrated into Power BI directly, which allows users to extract the required information from a wide range of sources such as images, documents, and social media content effectively.
The embedded ML algorithms can parse the documents to recognize information such as the names of people, organizations, and their locations, which can be used to make informed decisions.
Key Azure cognitive services available in PowerBI are:
These services are bundled with Power BI Premium and one doesn’t need to subscribe to Azure Cognitive services separately to avail of them.
It is the first AI-powered data visualization bundled with Power BI. It analyzes the data, prioritizes the parameters that matter, and showcases them as key influencers. It helps the end user to identify and analyze the factors that can influence the metric that is being assessed.
With this feature, users can leverage the capabilities of AI to gather deep insights from data as it forges multiple visuals into one.
Here are some key features offered by the Key Influencer dashboard.
Read Also: Understanding Microsoft Power BI: A Comprehensive Guide
Power BI offers an AutoML function, which allows business analysts and consultants to build custom machine-learning models without any sort of coding.
Business Intelligence leverages the automated ML features and capabilities embedded in Azure Machine Learning to determine which model could be accessed by the user, and what sort of permission they have, and then it makes these models available for the users in an intuitive point.
This feature enables users and data analysts to collaborate with the Data Scientist with ease. It is equipped with the guardrails feature, that improves the process visibility and the quality of Machine Learning models, and enables users to develop their own ML models.
AutoML also enables the users to develop supervised ML techniques such as Classification, Binary Prediction, and Regression Models for dataflows.
Once your ML model is trained with the datasets, it automatically generates a Power BI report displaying the prospective performance of your ML model.
Although Chatbot is not a default feature of Power BI, it could be integrated easily to streamline your business data access and consumption. Power BI chatbots allow users to fetch and analyze data from 3rdparty messaging apps such as Skype or Slack, by simply putting queries in natural language.
The chatbot, in turn, responds in the form of text or multimedia (images, pie charts, graphs, etc.).
It offers valuable insight to business owners and decision-makers. They can fetch business insights right from their messaging apps, which also eliminates the overhead of filtering the data manually or switching multiple dashboards.
Data aggregation is among the biggest challenges while visualizing the data as per the dimensions. It is quite a cumbersome and time-consuming task to develop different visuals for large datasets.
The Decomposition Tree makes it easier for the users. It is a pre-built AI capability, which automatically groups the data, drill down, and view different dimension in the report.
For example, if users want to check the sales data, then they can add dimensions like country, city, and product to their dashboard with simple clicks. They can use AI splits to simply increase or decrease (high and low values) these dimensions.
How will you feel if your questions in plain language get answered by the Power BI dashboards? This feature allows users to ask data-specific questions in natural language and then produces the responses from your reports. This AI feature lets users define similar terms to prevent challenges associated with similar words.
For example, if you want to look at the sales of your products, then it will let you add dimensions like country, region, gender, product type, and many more to deliver the best results. The users can ask questions about the Sales, and it will pin the visual based on the parameters specified by them.
Read more: The Benefits of Power BI for Revolutionizing Industries
AI offers some unprecedented advantages, but it comes with its own set of limitations as well.
Here are some issues you may encounter while working with Power BI:
Enterprise Business Intelligence tools like Power BI have democratized the capability for anyone to develop dynamic reports and stunning dashboards without a need for programming experience.
It has been in Gartner’s magic quadrant for many years for its unprecedented utility and capabilities, which include AI, Data Science, and Machine Learning.
If your organization is using the Microsoft ecosystem, then you can leverage the Power Platform applications to develop and workflows, implement AI capabilities to create powerful reports for your business in no time.
In this blog, we have covered some AI capabilities inbuilt within Power BI, which can simply transform the way your business is using the data.
If you want your business to avail the benefits of the AI capabilities of Power BI, then please feel free to get in touch with our Power BI consultants.
Arka Softwares is a renowned Power BI development company, with a decade-long experience in Business Intelligence. We can certainly help your business to maximize its BI potential and address the modern challenges to outclass your competitors.
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