27 June 2020
By requiring analysis and management of campuses in the City of New York, managers can allow for intelligent research and development that will be free for all students, faculty, staff, and even visitors. With advances in artificial intelligence (AI), data can now be collected, analyzed, and made accessible for smart use.
There are a number of advantages to smart storage and analysis in the city, and one of them is a natural extension of other smart solutions already available such as intelligent storage and analysis in the Global Village. One example is in the high-altitude parabolic monitoring system. This high-altitude parabolic and perch systems are capable of collecting data from the space where the plants and birds go, and they can also store the data, so you can later retrieve it.
Other examples of advanced smart systems are also based on the ground-level approach to surveillance. Perch surveillance includes two or more camera angles, which can be correlated to form one 360-degree viewing view of the facility, which can be transmitted to the operator to use at the computer to produce important information about the campus.
There are also security enhancements based on AI that can handle onsite surveillance, giving managers the ability to make intelligent decisions about staffing, resources, security measures, and other issues. And, in the near future, there may be opportunities for smart deployment in this domain that include intelligent storage and analysis in the city.
A city environment is full of advanced features that require smart processing and intelligent storage, and this extends to the management of the data that is associated with it. In addition to allowing for intelligent use, the intelligent process can allow for the analysis of data to determine what to do next, or what information to collect about that event or activity that occurred. If the system detects unusual activity, the right data will be collected for review or action.
Several of these intelligent processes can be applied to many existing or new processes, and some of these natural extensions to the campus exist right now. The best way to learn about what's possible in smart systems is to examine what's already being done and analyze what might be added to campus facilities and systems.
Some of the innovations have been simple extensions of processes already in place, and some are already able to manage or analyze many of the elements currently in place at the facility. These are some of the potential benefits in smart storage and analysis in the city: the natural extension of intelligent analysis to enhance all processes that might be important to campus operations. Here are some of these developments:
In the Artificial Intelligence community, the term 'smart' is often used to mean the same thing as 'intelligent,' and this concept extends to intelligent storage and analysis in the city. Intelligent storage and analysis are not just taking the data and turn it into something useful, but also are taking the process of looking at the data and making sense of it. This can be a difficult, but necessary task, and so this aspect of the intelligent process continues to be improved. From this perspective, it's helpful to look at some of the work that has been done so far in this domain.
This includes the design of systems that can sort, group, and analyze data. These systems can determine if a large number of records are needed to interpret the data and the type of computer programs that can be used to evaluate the results of those particular systems.
Another area in which smart storage and analysis are advancing is through new techniques that take advantage of the ability to collect, encrypt, and transmit large volumes of data. One of the most notable of these is the Park Information Technology, which is a new technology designed to provide seamless access to data from the city to those on the grounds.
This type of system is a fast and convenient method of being able to get the data needed to do the work, and when things go wrong, to be able to quickly access it. This makes it less likely that campus will miss out on data collection opportunities and allows it to be investigated more thoroughly, as the data that was missed during a time of high activity can be restored to get the work back on track.