Workflow management vs. Business Process Management (BPM)
Edge AI is a combination of Edge Computing and Artificial Intelligence. Edge computing is a distribu...
MicroAI’s MicroAI AtomML™ was developed to enable machine operators and device managers to gather specific data about their assets—in real-time— without dependency on the cloud. The result has been a new, transformative, awareness of the performance, integrity, and security of smart devices and machines within an IoT ecosystem. These real-time insights are providing stakeholders with the means to improve operational efficiencies and to maximize asset ROI.
Unlike cloud-based solutions that require heavy latencies, MicroAI AtomML™ is able to deliver rapid, intimate, asset analytics in real time.
Prior to MicroAI AtomML™ it was virtually impossible to fit a machine learning algorithm onto an edge device. MicroAI AtomML™, in combination with MicroAI’s custom-built machine learning network, provides an elegant solution for deployment onto IoT devices and machines. This provides operational insights that are faster, more reliable, and more cost effective. Managers and operators are better equipped to make decisions on when to procure, decommission, proactively maintain, and repair their most valuable assets to avoid catastrophic downtime and failure.
MicroAI’s unsupervised learning engine evolves by fine tuning itself in order to deliver the most optimal performance improvements and security enhancements to the machine or device.
To provide the most insight, an AI algorithm must be able to ingest numerous forms of sensor data (e.g. acceleration on the x, y, and z axes) MicroAI AtomML™ can concurrently analyze as many data types as needed to deliver critical alerts with the highest correlation to the specific event.
When assets are sensitive to environmental fluctuations, such as magnetic field disturbances, operators and technicians require high frequency analytics to alert them of any issues. MicroAI AtomML™ delivers this seamlessly.
In mission-critical operations, actions must be taken on a split second basis to avoid a catastrophic event. MicroAI AtomML™ processes all the asset data locally enabling immediate event related alerts and faster response time.
MicroAI AtomML™ brings big infrastructure intelligence into a single piece of equipment or device. Unlike traditional AI-driven asset management solutions that rely on edge-based microcontrollers, MicroAI AtomML™ is deployed directly onto smart devices and sensors.
デバイスMCUでIoT資産をトレーニングすることの利点…。
MicroAI’s Cloud provides the infrastructure to access data from any connected source and execute complex algorithms that use data science, machine learning and artificial intelligence. The integrative capabilities work together to deliver analytics that optimize the performance of every asset while automating sales, service and core internal workflows.
MicroAI’s Mobile Application brings Next Generation Optimization into the hands of your Technicians, Salespeople and Supervisors. By curating analytic output from the EDGE and CLOUD, MicroAI™ MOBILE empowers your field force to address the right task at the right time to improve the customer experience. With MicroAI™ MOBILE, stakeholders optimize their daily operations with more visibility and confidence than before.
MicroAI AtomML™ brings big infrastructure AI down into a single piece of equipment or device! Developers will be able to embed AI training into Raspberry Pi devices to achieve greater levels of intelligence and control.
Edge AI is a combination of Edge Computing and Artificial Intelligence. Edge computing is a distribu...
Edge AI is a combination of Edge Computing and Artificial Intelligence. Edge computing is a distribu...
Edge AI is a combination of Edge Computing and Artificial Intelligence. Edge computing is a distribu...