Manufacturing organizations can incorporate new features in the smart devices, through embedded engineering, to drive customer satisfaction. It enables the development of new products and provide discrete embedded systems for existing ones. As manufacturers fine-tune their voice-command device offerings, more people will embrace this new-age technology. Historically, machines have helped reduce human effort. These smart machines, evidently, can not only achieve this, but also help revitalize the consumer products landscape.
Lack of deep understanding between Platform and Application architects results in inconsistent application solutions deprived of real cloud value. Here, we try to bring different perspectives for the two domain architects to focus on common problems.
Modern data science represents the natural evolution and symbiosis of these Principles of Scientific Management with modern statistics, computational algorithms, and scalable computing platforms like Windows Azure and the Microsoft Cortana Intelligence Suite. By systematically collecting and curating data with intention, we can use data science to extract insights from data.
Cloud is bringing about a slow-yet-steady change in the way enterprises view their own existence, in terms of how they operate currently or how they plan to expand globally. Though this is what enterprises plan and strategize to grow, the difference is now they are viewing all this with a cloud state of mind.