Think Beyond Cloud: Intelligent Edge Is the Future of Computing and AI

The average inference speed for cloud-based AI hovers around 1.5 seconds. The intelligence edge cuts it down sharply to 10-15 milliseconds. This drastic reduction in latency alone makes a number of futuristic technologies – such as autonomous vehicles – possible.

The advent of cloud computing set off a colossal centralization fever that has caught almost every business that understands the importance of a digital-first business strategy. Even the world’s governments and public sector organizations are leveraging the advantages offered by cloud computing. Easy access to data, powerful analytical tools, and improved business agility have enabled organizations to make more “intelligent” and informed decisions than ever before.

Using Machine Learning to Improve the Performance of DevOps

Developers need to understand the intersectionality between DevOps technology and machine learning. Machine learning algorithms can significantly improve the effectiveness of DevOps applications.

Incorporating Machine Learning Into Your DevOps Model

It is important to be aware of the different ways that machine learning can be applied to DevOps. Before you begin implementing DevOps practices, it is important to carefully define your objectives and recognize the biggest shortcoming of traditional DevOps environments.