Remove Artificial Inteligence Remove IoT Remove USP
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Escorts Kubota enlists AI to reinvent railway, construction, and agriculture

CIO

Kakkar and his IT teams are enlisting automation, machine learning, and AI to facilitate the transformation, which will require significant innovation, especially at the edge. For example, for its railway equipment business, Escorts Kubota produces IoT-based devices such as brakes and couplers.

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CommonGround raises $25M for immersive video avatar technology that doesn’t rely on VR gear

TechCrunch

Based around machine learning, CommonGround’s platform is theoretically learning all the time from its users: The more you use it, the more you train it and the more accurate it becomes. That points to resourcefulness, and artificial intelligence technology with multipurpose potential at the end of the day.

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Edge Computing: Use Cases, Key Providers, and Implementation Options

Altexsoft

Smart technologies — like autonomous vehicles, intelligent buildings, and IIoT or industry 4.0 The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. US Postal Services (USPS) delivers 7.3

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Last Mile Delivery: How Technologies Solve the Big Problem of the Shortest Transportation Leg

Altexsoft

Predictive analytics and machine learning technologies increase the accuracy of such estimations, taking into account different factors — like GPS coordinates, distance to the next stop, the average length of breaks, and historical data. However, there is still room for local carriers offering a lower cost and more flexible terms.