Power BI Updates: More AI and Azure ML Integration

If your business cannot afford teams of data analysts or the immediate implementation of automated technologies, Microsoft Power BI remains an ideal solution to leverage AI and machine learning to produce real-time data analytics and drive valuable insights.

Recently, Power BI has expanded its AI capabilities by introducing Azure Cognitive Services, namely pre-trained machine learning models for intelligent applications, and Azure Machine Learning data flows integration.

Data analysts will be able to use cognitive services to detect and extract insights from text, images and objects. These insights, such as user sentiment, positivity or negativity, mood and behaviour, can provide valuable information about customers to marketers.

With Azure ML, analysts can now develop and share machine learning models, which can be exported into the Power BI interface, allowing users to visualise and use the insights triggered by the ML modelling for reporting purposes.

Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.

South African businesses can now better leverage the Azure ML and Power BI integration for data-driven business operations thanks to the new Microsoft Azure data centres in Johannesburg and Cape Town. The new centres facilitate a more streamlined cloud experience for businesses, data scientists and decision-makers.

The updated AI and ML capabilities in Power BI will also be supported by an improved and more intuitive user interface that enhances navigation, data visualisation, sharing and collaboration, as well as the personalisation of dashboards and reporting.

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