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Digital Twin Consulting Services and Solutions for Metaverse

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Convergence of Internet of Thing, Extended Reality and Metaverse

Digital Twin is a digital illustration of a physical thing/object. The mechanism involves sensors attached to the physical object for collection, including physical, manufacturing, and operational data. Driving Industry 5.0 with IoT, Big Data Analytics, AI, and Automation solutions-

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    Healthcare

  • XenonStack Manufacturing Image

    Manufacturing

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    Industrial IoT

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    Retail

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    Smart Cities

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    Learning Models

Improve Business Process Efficiency

End-to-End Solutions for empowering real-time monitoring and processing of data. After analyzing the data, enterprises can streamline operations and reduce maintenance costs.

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The Role of AI

Artificial Intelligence is playing a vital part in the digital transformation. The incorporation of AI-enabled solutions works to prevent downtime and gain insights into the critical business.

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Pattern Recognition

Pattern Recognition deals with behavioral aspects of the digital asset. The technologies behind predicting the life of an asset and failure systems include Advanced Machine Learning and Transfer Learning Methods.

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Learning Models

This approach involves building models that can be validated, monitored, and updated continuously.

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IoT Capabilities

The Digital Twins operate with the support of the Internet of Things. The process includes gathering real-time data with sensors and utilizing intelligent components to gain insights.

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Digital Twin Engineering Services

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    Streamline Operations

    Enable Improved Productivity, Lower Maintenance Costs and Risk Rates, and increased Reliability.

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    Enabling Internet of Things (IoT)

    Improving Quality, and Efficiency of operations and streamlining the Overall Warranty and Operational Cost.

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    Enabling Solutions on the Cloud

    This concept involves gathering insights from the connected systems and channels. After collecting data, the information is rerouted to the digital world via sensors for further analysis. Analytics Techniques are used to produce insights that are enabled with the help of algorithmic functions.

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    Innovate Manufacturing Operations

    Proactive Mechanical detection, Adaptation to changing conditions, and lowered risk of failures.

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