Machine Intelligence – Making machines more transparent
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AI Agent

Machine Intelligence

Machine Intelligence – Making machines more transparent. An embedded AI platform that provides deep insights into machine and device performance. Full transparency, all the time.
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What is it?

Powered by MicroAI’s core technology MicroAI AtomML™, Machine
Intelligence represents a paradigm shift in the optimization of the
performance and security of machine assets. Mission-critical
machines within the manufacturing, telecom, automotive, and
infrastructure segments can be transformed from opaque entities
into assets that are fully transparent. This transparency delivers
deeper insights that enable active fine-tuning of performance.
Transformational areas of impact include:

Enabling Predictive Maintenance with Endpoint AI

MicroAI’s Machine Intelligence provides the endpoint intelligence to power the transition from static preventive routines to predictive capabilities that transform asset maintenance.

Machine Intelligence Features

Despite advances in Industry 4.0 technologies, most industry segments are still hampered by a lack of full transparency into their machine assets. Machine Intelligence solves the problem with a powerhouse of AI-enabled features:

  • Endpoint-Based Performance Monitoring

    Enables real-time machine-centric performance observability and reporting

  • Machine Endpoint Intelligence

    Provides transparency into current machine health and facilitates a transition to predictive maintenance

  • Historical Trend Analysis

    Intelligence-based prediction of future machine behavior and productivity

  • Intelligent Workflows

    AI-enabled workflows ensure that the right information is delivered to the right stakeholders at the right time

  • Machine-Specific Security

    Provides faster detection and mitigation of Zero-Day attacks against machines and data

Capabilities

Machine Intelligence brings real-time observability to any type of machine or industrial  device. Moving beyond static data collection, embedded intelligence delivers the deep insights needed to fully optimize the performance of a single machine or an entire machine ecosystem. Capabilities that include:

  • Dynamic Learning

    Embedded AI an ML algorithms learn the normal operating behavior of an individual machine or a group of machines. Deep federated learning provides the accurate baselines required to detect performance anomalies of any size or duration.

  • Endpoint Observability

    Intelligence embedded into the machine endpoint provides deep insights into real-time performance, health, and security. Active learning delivers levels of observability that have not been available with traditional AI solutions.

  • Recursive Analysis

    Multidimensional behavioral algorithms produce recursive analysis, training, and processing. This enables a continuous evolution of the AI model that takes place directly on the endpoint. Recursive analytics produce predictive insights into future machine health and maintenance requirements.

  • Insight Mining and Distribution

    A centralized visualization engine provides continuous observability into the status of connected devices and machines. The embedding and training of intelligent workflows automate the process of performance alert notifications and implementation of rapid mitigations.

Business/Operational Value

Machine Intelligence delivers tangible value across the entire business enterprise. Business and operational stakeholders will benefit from several insight-powered advantages, including:

  • OEE Improvement: Actionable insights to break the 70% barrier and unlock competitive advantages for machine-intensive industries.
  • Increased Output: Fully optimized, reliable, and predictable machines give planners real-time transparency and health scores for smarter scheduling.
  • Higher Quality: Rapid detection and mitigation of performance anomalies boost quality, reduce rework, improve reliability, enhance predictability, and increase customer satisfaction.
  • Enhanced Cyber-Security: Zero-Trust protection for machines and their data, defending against Zero-Day attacks and enabling predictive security.
  • Reduced Cost: Lower expenses from maintenance, downtime, waste, rework, and disruptions, with tighter CoGS control for stronger bottom lines.

OEE Improvement

Increased Output

Higher Quality

Enhanced Cyber-Security

Reduced Cost

MicroAI Resources

cs-welderWelding AutomationUse Cases

cs-immIMM OptimizationUse Cases

MicroAI Digital Twins and Asset OptimizationMicroAI Digital Twins and Asset Optimization
White Paper

edge-native AIUnlocking the power of connected objects with edge-native AIWhite Paper

prod-smartMachine IntelligenceProduct Documents

Industries

Get started with intelligent integration and automation.

Manufacturing

Predictive Intelligence – Industry 4.0 to 5.0

The next revolution in manufacturing will involve going beyond factory automation and into factory intelligence…

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Telecom

Personalized AI for Telecom

Optimize. Innovate. Disrupt. MicroAI™ provides advanced embedded and edge intelligence to power next-generation telecom solutions. Optimize network performance, innovate new offerings, and create new revenue streams.

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Automotive

The Automotive Connectivity Paradox

Today’s vehicles are equipped with IoT-enabled devices and complex telematics networks that provide live tracking, remote start and stop, remote access, temperature control, and autonomous driving.

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Infrastructure

Around the globe, many infrastructure industries need advanced technologies that will meet evolving infrastructure demands.

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Financial

AI-enabled financial intelligence that transforms volumes of data into profitable insights. MicroAI™ brings a full suite of AI and Machine Learning (ML) solutions..

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