In the past decade, there has been a dramatic expansion of the area of Artificial Intelligence (IA). In particular, intelligent robotic and artificially intelligent robotic systems for manufacturing, services, healthcare, finance, and other industries have been developed. Many of these systems are being deployed for research and combat purposes. In 2021, the United States Military invested approximately two billion dollars in research and development towards defense applications including Artificial Intelligence.
In 2021, researchers at Carnegie Mellon University in Pittsburgh, Pennsylvania, developed what is now known as the Alpha Natural System. The system is designed to enable coordination between various human agencies and units for activities such as planning, executing, controlling, and monitoring military and non-military UAVs (unmanned aerial vehicles). Its primary goal is to enable systems to anticipate and execute relevant tasks using natural language processing technology. It also intends to facilitate decision-making based on real-time information from multiple sources and to support tactical and operational maneuver abilities. The Carnegie Mellon scientists developed the software for an artificial intelligence operating system by building a machine that could perform the same tasks as humans would. This was called artificial intelligence, or artificial intelligence automation.
In the future, these technologies will likely not require human intervention to control the implementation of their operations. However, it is quite likely that human intervention will be required to fine-tune or optimize these new systems for optimal performance. Currently, one type of automation technology will be required to control a set of processes. One such technology is behavioral automation, which is used in retail, supply chain, and other human-based businesses.
Another type of automation technology involves the use of cloud computing. A cloud service offers a platform, or a virtual server environment, where applications and data can be accessed, executed, and maintained by application servers. Examples of cloud services include e-commerce platforms, webmail, productivity tools, data management systems, and complex scientific programs. Cloud services tend to be more flexible, as they can be designed and deployed to accommodate growing business models or to satisfy very specific needs. As cloud services are being developed and rolled out by various companies, it is likely that there will be a continued effort to automate business processes, and human capital will play a smaller role in this process.
There is also a field called industrial automation, which applies technologies to businesses that are manufacturing products. Some examples of industrial automation technologies include advanced tooling, actuators, and other devices that help to maximize the efficiency of a company’s production process. Again, as with the cloud services previously mentioned, industrial automation will likely continue to play a smaller role in implementing business processes, and will instead focus on improving customer experience.
If we look back in time, we can see that the development of productivity in manufacturing has been the result of an organization’s ability to maximize the resources it had available. In order to perform this task, they needed to have access to all of the tools, resources, and expertise they would need. Over time, as more resources were added, productivity increased. This same concept is now playing out with automation technologies. As new technologies replace outdated tools and equipment, the pace of productivity within the manufacturing industry will continue to increase. In fact, we may soon reach the point where we’re able to create resources and goods simply by machine.