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Microsoft's hybrid platform, Azure Stack Hub, gets management, machine learning updates

ZDNet

The cloud computing race in 2020 will have a definite multi-cloud spin. Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves. There hasn't been a whole lot of news lately about Microsoft's private/hybrid-computing platform, the product formerly known as Azure Stack and, more recently, as Azure Stack Hub. But, at Build 2020 this week, Microsoft officials are talking up some of the new features coming soon to Azure Stack Hub in preview form. Microsoft is making available in private preview Azure Stack Hub Fleet Management.


How AI Is Transforming Fleet Safety

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AI-integrated software is a sophisticated system made up of several devices and applications such as predictive data analysis and machine learning systems, HD cameras and sensors, communication and display systems. AI-based fleet management platform Driveri, currently deployed in fleets across the country, is a combination of all of these components. Before understanding how each of these parts combines to create a fleet management powerhouse, it is important to know what each one does. Cameras ensure that video data can be captured, analyzed and accessed at any time leading to a better study of driver behavior, road conditions or hazards. This is significant because it creates a future of fleet management where human error is reduced across the transport cycle.


How AI fleet Management Will Shape the Future of Transportation

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There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.


SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems

arXiv.org Artificial Intelligence

The decision to rollout a vehicle is critical to fleet management companies as wrong decisions can lead to additional cost of maintenance and failures during journey. With the availability of large amount of data and advancement of machine learning techniques, the rollout decisions of a supervisor can be effectively automated and the mistakes in decisions made by the supervisor learnt. In this paper, we propose a novel learning algorithm SUPAID which under a natural 'one-way efficiency' assumption on the supervisor, uses a rule mining approach to rank the vehicles based on their roll-out feasibility thus helping prevent the supervisor from makingerroneous decisions. Our experimental results on real data from a public transit agency from a city in U.S show that the proposed method SUPAID can result in significant cost savings.


How AI fleet Management Will Shape the Future of Transportation

#artificialintelligence

The future of transportation looks more promising than ever due to the exciting applications of AI in fleet management. Unpredictable road conditions, operational costs, and driver retention problems could easily become obsolete as fleets move to AI-based systems. Every stakeholder stands to benefit a lot from the efficiency and reliability of this technology because of a reduction in costs, accidents, driver turnover, and other problems which could reflect on the pricing of fleet services. It could also ensure that other road users remain safe.


How Artificial Intelligence Technology is changing Transportation

#artificialintelligence

There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.


How AI fleet Management Will Shape the Future of Transportation » Data Is Utopia

#artificialintelligence

There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.


Our New Website Concargo

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"This article originally appeared on netradyne.com" There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently.


Artificial Intelligence will shape the future of Transportation and Fleet Management

#artificialintelligence

Fleet management is one of the areas that AI is disrupting. The growing need to put driver safety first without compromising cost or efficiency has led to the adoption of smart fleet management systems. For the average driver, the presence of AI can be felt heavily in the use of smartphones and telematics devices that recommend the best routes to take in traffic. This used to be a herculean task marked by paper maps and listening to radio broadcasts of traffic routes; today, we have complex traffic apps that combine GPS and artificial intelligence to make drivers' lives easier. Fleets benefit from powerful AI-based applications that handle anything from route recommendation to road risk data analysis and even driver coaching.


Artificial Intelligence will shape the future of Transportation and Fleet Management

#artificialintelligence

Fleet management is one of the areas that AI is disrupting. The growing need to put driver safety first without compromising cost or efficiency has led to the adoption of smart fleet management systems. For the average driver, the presence of AI can be felt heavily in the use of smartphones and telematics devices that recommend the best routes to take in traffic. This used to be a herculean task marked by paper maps and listening to radio broadcasts of traffic routes; today, we have complex traffic apps that combine GPS and artificial intelligence to make drivers' lives easier. Fleets benefit from powerful AI-based applications that handle anything from route recommendation to road risk data analysis and even driver coaching.