Cloud Technology

This article attempts to give an appropriate perspective on artificial intelligence (AI) and review the work we have done and the achievements we have made. We have listed achievements in the field of artificial intelligence for half a century and discussed the recent IBM Watson-Dangerous Edge Challenge.

Just like most software applications, developers are writing artificial intelligence projects in multiple languages, but there isn't a perfect programming language that can be fully equipped with artificial intelligence projects.

The current social investment environment is roughly divided into artificial intelligence, and the blockchain is seriously connected to the Internet of Things.

Not long ago, the 2018 World Artificial Intelligence Conference, with the theme of “A New Era of Artificial Intelligence Empowerment”, was held in Shanghai, attracting many of the world's top technology companies to participate.

Governments around the world are beginning to recognize the potential and importance of artificial intelligence. With the implementation of artificial intelligence regulations, the acceptance of the international community is also expanding.

Artificial intelligence has experienced 62 years of development, and has made significant progress. The dedicated artificial intelligence has made breakthroughs and has been widely used.

Whether it is a research institute, a business giant or a start-up enterprise, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, artificial intelligence talents are now in a gap, and it is very huge.

Check our selected articles about cloud computing by related tags, find the content you want to read the most by selecting the topic tag.

Learn about latest trends of cloud computing by reading our selected articles.

Cloud computing still faces application barriers, and the lack of error messages and understanding has slowed the progress of some companies to gain the benefits of cloud computing.

The platform can be divided into three categories: a storage-based cloud platform based on data storage, a computational cloud platform based on data processing, and an integrated cloud computing platform that combines computing and data storage processing.

Recently, Alibaba Cloud Sharing Day × Yunqi Conference Beijing Summit was held, combining the disclosure information at the summit with the weekday observation. The author summarized the X development trend of cloud computing in the DataTechnology era.

At different stages of the cloud computing experience, whether it is a private cloud, a public cloud or a hybrid cloud, it will face the key issues of cloud data center construction: how to improve the resource utilization of the data center, how to reduce the overall cost, optimize management,etc.

When a company has a lot of scattered resources that are not fully utilized, the cloud-based management model becomes an important management tool, especially when those with a large amount of computing resources and the calculated demand fluctuations are relatively large.

A group of servers that are connected via a network to form a so-called "cloud". However, this "cloud" is not a traditional physical cluster of servers, but relies on virtual technology to turn it into a new computing environment consisting of many virtual machines.

The essence of technology lies in the accumulation of accumulation. The virtualization, RESTFull API, and distributed concepts of the past have undergone earth-shaking changes over the past decade.

The current blockchain is far from replacing cloud computing in terms of the computing power required to run big data applications. But that doesn't mean that the technology doesn't help it reach its goal, nor does it mean it has no effect in improving the existing cloud computing infrastructure.

Modern enterprise business consists of a complex set of application stacks that cover a wide variety of virtual machines, physical servers, and proprietary storage hardware.

Grid computing is a computer science that studies how to divide a problem that requires a very large amount of computational power into many small parts, then distributes those parts to many computers for processing, and finally combines these calculations to get the final result.

IT companies often fail to properly use the monitoring tools of the virtualized environment. There is a trend to continue to use the same monitoring tools that were used in traditional data centers, but these tools are not sufficient to monitor traffic between virtual servers.