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How to Best Support Digital Twins

In this blog, post we first review the definition of a digital twin. Then we argue that a detail-on-demand visualization system should be an integral part of the software system used for gaining insight from digital twins...

Effects of the IoT Revolution

ased on research conducted by professor Michael Stonebraker from MIT CSAIL, this series outlines how the current speed, pace, and scale of data overwhelms most existing analytics and visualization tools and what to do about it...

Humanizing Data

Thirty years ago, Tim Berners-Lee’s World Wide Web (1989) and early commercial web browsers made internet data more accessible. Information that was once reserved for a select few highly trained insiders suddenly came within reach of millions more users, increasing productivity and revealing new forms of engagement and entertainment...

Corporate Strategy and the Data Exploration Gap

Essentially every CEO and Chief Data Officer (CDO) expresses a goal to create a more competitive, data-driven organization. Typically, this means to consolidate their enterprise data in a data lake and to empower data scientists to extract and analyze subsets of this data...

How To Best Support Digital Twins

The concept is popular in a factory floor setting, where a client would construct a physical model of the factory. Then, he could use the model to visualize the state of the factory floor where alerts and state variables could be displayed. If he wanted to try alternative scheduling, configuration, or state variables, he could run a simulation on the model to see alternate results...

Hopara: A breakthrough in big data visualization from MIT

The scale and pace of data collection have driven a constant need for innovation in how data is presented and analyzed. The massive data sets of today require a new visualization paradigm that allows more users to dynamically engage with data in an immersive environment without requiring special skills or training...
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