Embedded Intelligence that Optimizes Machine Performance
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What is AIStudio?

A next-generation, AI-enabled, data-modeling platform that delivers deep insights for improving the performance and security of machines and networks.

  • User-Friendly InterfaceQuick Onboarding and User-Friendly Interface
  • Network DataWorks with any Type of Machine or Network Data
  • CodingNo Extraneous Coding Required
  • Real-Time PerformanceProduces Real-Time Performance Improvement Insights

Evaluating Machine Generated Data Sets

AI-Enabled Analysis of Data Sets to Optimize Machine Performance

Navigating AIStudio

  • 1Ingest data
  • 2Tune and Run AI
  • 3Visualize and Evaluate
  • 4Optimize

Ingest data

Ingest live or historical data from a machine, device, network, or process. Real time, point-to-point, ingestion provides rapid and accurate onboarding of the data to be evaluated.

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Tune and Run AI

In-built feature engineering provides live model tuning and optimization. Data scientists and developers can evaluate model tuning impact in real-time, accelerating the process of selecting the most effective AI model(s).

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Visualize and Analyze

Pre-configured visualization allows users to visualize and fully explore their asset data. 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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Optimize

Utilize insights provided by AIStudio to fully optimize the performance, health, and security of the assets under assessment. Apply MicroAI’s embedded and edge AI technologies to improve performance across an entire asset ecosystem.

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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.)


  • Model Tuning

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


  • 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.

Capabilities

For developers and operational stakeholders, speed is crucial. AIStudio provides an ecosystem to instantaneously visualize the capability of MicroAI's technology to rapidly collect and synthesize asset data and then to utilize that data to support a defined use case. Developers can quickly evaluate the effectivity and impact of MicroAI's technologies on the performance of mission-critical machines and devices.
  • 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.

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….

  • 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

Sign-up on Launchpad and gain access to AIStudio for free

Sign Up on Launchpad

Guide: Click here to access a step by-step tutorial on starting AIStudio