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The next breakthroughs in business intelligence (BI) and analytics will see machine learning and artificial intelligence used to improve data access and data quality, uncover previously hidden insights, suggest analyses, deliver predictive analytics and suggest actions. What’s more, natural language (NL) interfaces will make it easier for business users without knowledge of data science or query languages to explore information, gain insights and make better, data-driven decisions.
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Updating data reporting, analysis and surveillance capabilities at the Centers for Disease Control and Prevention will improve detection and tracking of emerging health threats, agency officials said.
The Counting US app is boosting the time and accuracy of point-in-time counts of people experiencing homelessness.
Analytics embedded at the start of data management initiatives ensures analysis and insights are clear, relevant and actionable.
A Pittsburgh-based scientist is looking at ways to use machine learning and edge computing to analyze images of local streets for indications of landslide risk.
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