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VR Data Visualizations

Virtualitics Combines AR, VR and AI to Create a New Way to See Information

— March 23, 2018 — Business
Graphs, charts and other kinds of visual aids can play a great part in making different kinds of data easily digestible, and Virtualitics sets itself apart with a unique AI-powered analytics platform that unfolds in virtual and augmented reality.

The Virtualitics Immersive Platform (VIP) offers not only an immersive way to see data, but sets it in a collaborative environment so that users may interact with it in a unique way. The platform brings machine learning, big data and immersive visualization together to create a dynamic forms for presenting data.

Within its VIP, Virtualitics offers what it calls the SVO, or Shared Virtual Office, which is a "collaborative and fully customizable shared space to analyze data, build VR dashboards, present and discuss insights."
Trend Themes
1. AI-powered Analytics - Disruptive innovation opportunity: Develop AI algorithms that enhance data analysis capabilities and provide advanced insights.
2. Immersive Visualization - Disruptive innovation opportunity: Create virtual and augmented reality tools and platforms for visualizing data in an immersive and interactive manner.
3. Collaborative Data Analysis - Disruptive innovation opportunity: Build collaborative environments where multiple users can interact with data simultaneously and engage in real-time discussions and insights.
Industry Implications
1. Data Analytics - Disruptive innovation opportunity: Integrate VR, AR, and AI technologies into data analytics tools and platforms to enhance data visualization and analysis capabilities.
2. Virtual Reality - Disruptive innovation opportunity: Develop VR applications specifically designed for visualizing and analyzing complex data sets, enabling users to gain deeper insights and make data-driven decisions.
3. Artificial Intelligence - Disruptive innovation opportunity: Combine AI algorithms with immersive visualization technologies to create intelligent data analysis systems that offer advanced insights and empower users to explore data in new ways.
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