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• Navigating AIStudio
• Features
• Capabilities
• Business Value
• Resources

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Navigating AIStudio

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AIStudio Features

AIStudio provides a feature-rich application that is easy to access, manipulate, and consume. Features include:

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  User-Friendly Interface

  An intuitive web application that is accessed by logging into MircroAI’s Launchpad

• 
  

  At-a-Glance Visualization

  Pre-configured visualizations that allow users to visualize and fully explore their asset data

• 
  

  Agnostic Data Ingestion

  Protocol agnostic (WiFi, 5G, LTE, CAT-M, NB-IoT, LoRa, etc.)

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  Model Tuning

  Model optimization via live model tuning and dynamic feature engineering capability that does not require heavy programming knowledge

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  Code-Free

  AI models can be onboarded, tuned, and validated without having to develop any software code

• 
  

  Rapid Analysis

  Quick assessment of the impact of MicroAI’s technologies on asset data without having to spend time and money on integrating them to edge devices.

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Capabilities

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• Rapid Data Ingestion

  The ability to import live or historical data from a machine, device, network, or process. Real time, point-to-point, data ingestion simplifies the evaluation process.

• Flexible Visualization

  The flexibility to view data via customizable dashboards, compiled statistics, or correlation matrices. Flexibility that provides developers with a wider range of visualization options.

• Active Data Labeling

  The ability to identify and label abnormal points in the data generated by the connected asset. Provides more accurate and traceable identification of data anomalies.

• Dynamic Model Tuning

  Model optimization via live model tuning and feature engineering capability. Developers can evaluate the effects of their model changes in real-time, accelerating the assessment process.

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Business/Operational Value

AIStudio simplifies and expedites the process of evaluating how MicroAI’s technologies and products can bring value to asset performance optimization and cyber-security use cases. Companies in manufacturing, telecom, industrial, and automotive benefit from an AI model evaluation process that is….

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• Faster: Complete assessment in hours instead of days/weeks
• Simpler: Easier to use, requiring no extraneous expertise
• More flexible: In-built flexibility to accommodate specific assessment requirements and use case trials
• More dynamic: Real-time model evaluation assessment vs time-lag limitations
• Less costly: Ability to evaluate AI models in a virtual environment significantly reduces cost
• Less Risky: Ability to thoroughly evaluate before making an investment

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MicroAI Resources

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