In the era of AI/ML, companies must transcend traditional 'dumb' dashboards to create intelligent visual analytics that not only query data but also analyze and communicate insights effectively.
Current visualization solutions require substantial human effort for both creation and consumption, necessitating a shift to AI-driven processes that streamline these activities and enhance decision-making.
The future of data monitoring through AI/ML envisions a reduced need for human dashboard oversight, allowing organizations to focus on insights rather than mere data observation.
For organizations, understanding the three distinct use cases of data visualization—monitoring, analysis, and storytelling—is critical for leveraging AI/ML's transformative potential in visual analytics.
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