Automated Machine Learning Platform for Edge Devices Qeexo
■In today's data-driven world, enterprises across various industries recognize the immense potential of machine learning (ML) and artificial intelligence (AI) to drive innovation, gain competitive advantage, and deliver better business outcomes. However, developing and deploying ML models can be complex, time-consuming, resource-intensive, and often require specialized expertise.
■Qeexo's Auto Machine Learning (AutoML) platform offers a comprehensive solution that automates and simplifies the process of building and scaling ML models without the need for expensive experts. Further, the solution can build and deploy ML models on edge devices with ease to add an additional layer of security, efficiency, and real-time decision making.
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[ Industrial ][ Manufacturing ][ Condition-based Monitoring ][ CbM ][ Operational Efficiency & Quality Control ][ Transportation ][ Automotive ][ Intelligent Transportation Systems ][ traffic management ][ Fleet Management ][ Driver Assistance and Safety Systems ][ Smart Buildings ][ Intelligent Building Automation ][ Energy ][ Power Generation ][ Energy Generation and Distribution ][ Power Equipment ][ Renewable Energy Forecasting and Integration ] |
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Application note & Design Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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20231024 |
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2.4 MB |
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