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Editor's Pick (1 - 4 of 8)
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Ascension of AR and VR in Healthcare

Barry Mather, CIO, Sunshine Coast Hospital and Health Service

Augmented Reality and Virtual Reality

Shekhar Chhajer, CIO, Southeast Asia, India and CoC Sales Overseas, Mercedes Benz

In Augmented Reality, Size Matters

Jason Blackman, CIO, Carsales.Com

Augmented Reality - What Future Holds?

William D. Confalonieri, Chief Digital Officer, CIO & VP, Deakin University

Creating the Right Environment for Innovation

Chris Zeppa, CIO, Walker Engineering

How GDPR can open opportunities for APAC Businesses

Royce Teoh, Head of Digital Solutions, ASEAN, Oracle Asia-Pacific

How Value-Creating Experiences Allow Customers to be Connected?

Grant McBeath, GM Consumer & SME Channels, Spark NZ

GDPR: The Road Ahead

Raymond Goh, Head of Systems Engineering, Asia and Japan, Veeam Software

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How AR Bolsters Data Visualization

CIOAdvisor Apac | Tuesday, August 25, 2020
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Augmented reality is revolutionizing the paradigm of data visualization.

FREMONT, CA: Augmented Reality (AR) is hugely popular in the industrial world. This technology has brought about the most creative set of revolutions and deeply interesting use cases. The world has already put in efforts to unleash the potential of AR, and today, analytics has got its turn to embrace the efficacy of this technology. Technologists believe that the technology of AR can take the arena of data visualization to the next higher level. In the wake of the modern world of data and analytics relying on AR, data visualization is completely being transfigured.

So, what exactly is the role of AR in data visualization? How can the features of AR analyze an entity? Well, here is a more direct way of understanding it. The technology of AR is integrated into a camera. The lens and the image capture infrastructure in the camera are coupled with a few AR touchpoints. When the camera captures, or even just shows an image, the whole section of it is marked with certain points. These specific points could be interpreted as data points in the technical language. The algorithms of AR act on each of these data points and scrutinize it. Further, AR modules understand what these parts of the image are and illustrate the same in the form of insights and reports.

Lately, a large array of industries is using the techniques and solutions for analyzing and visualizing data and its hidden facts by using AR technology. Here, AR makes use of the image information, GPS coordinates, marker language that pertains to data points, inputs values, data visualization engine in the backend, and real-time operation tracker software. The application of AR for data visualization intends the use of a camera that is specially made with features of the lowest level of latency.

In this way, AR is specializing itself as a data visualization expert and riding its charm in the world of analytics. However, engineers are continuing to make AR analytics more intelligent and reliable.

See Also: Top Data Visualization Consulting/Service Companies

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