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The business intelligence analyst role is highly analytical and requires a balance of IT, communication, and problem-solving skills.
Microsoft’s power analytics tool can do a lot more than help you visualize your data. From AI-powered insights to integrating curated data into other apps and services, here’s how to make the most of Power BI.
Fresenius Medical Care has developed a predictive model using machine learning and cloud computing to help proactively identify when kidney dialysis patients might be suffering a potentially life-threatening complication.
Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.
Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists.
From chatbots to predictive maintenance, companies across every industry are putting AI to work to deliver business value. Here’s where AI is having its greatest impact.
Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing, and monitoring data retrieval, storage, and distribution throughout the organization.
The consumer packaged goods giant has turned to Microsoft IoT and edge analytics to capture real-time data about manufacturing processes to anticipate impending failures before they damage diapers.
More than just a means of shifting burden from IT, citizen developers can weave domain expertise into valuable solutions — but only if you get your cit-dev strategy right.
Struggling with device diversity? Here comes PC-as-a-Service to the rescue.