Artificial intelligence has been at the forefront of commercial innovation ever since the dawn of the Digital Revolution. It has aided in the realm of efficiency with many different kinds of software and digital innovations serving to create a corporate environment that is geared toward bettering the way we do business. Moreover, certain models and digital systems have changed the way in which some industries operate completely.
The Value Of AI
I would be remiss if I didn't mention the value of artificial intelligence (AI). Currently, the industry is irreplaceable within multiple markets, as the technology forms the basis of multiple business operations. Thus, it is no surprise when a valuation of $21 billion is shown for 2018, with an expected growth that is truly astounding. Within the next seven years, the market is expected to be worth $190 billion. As this only pertains to commercial AI and its use to enhance transactions with clients, it is important to remember that AI is used in other scenarios, such as government security and state practice.
Consumer behavior predictors leveraging artificial intelligence are by far the most common use of the technology today. AI and bot innovations, once cutting edge, are now considered a definitive need versus luxury. Many are familiar with the most common uses of AI; most of these are part of everyday life. Google's AI advertising software is probably the foremost representative in the day-to-day lives of consumers. It considers recent searches of the individual, and then an advertisement for that exact product is shown in the next search and again in places the individual would least expect. Bringing buyer and seller together seamlessly will continue to evolve in new ways, and AI and bot technologies will be the catalyst.
In the commercial realm, AI is used to enhance efficiency. Uber, for example, has launched a program that analyzes the state of app users. It detects, using statistical data related to typing patterns, GPS services and new camera features, whether the user is in a state of distress or intoxicated.
Thus, in the commercial realm, at least, it is not difficult to see how AI has influenced society, creating services and products in places where there were none before. Consider the computer and mobile device application world. Once a dry market for only geeks and nerds, it is now a thriving populous for e-commerce for the masses.
AI has definitely served to produce advancements within the commercial sphere. It has resulted in increased revenue and a reduced cost of production. Therefore, maintaining a lead on the market is an important feature of any truly successful business venture. Not only can these applications result in increased revenue, but they provide an easier means by which to get there. Below are four of the most popular options in AI software for commercial use.
1. Reactive machines: Reactive AI is, well, reactive to what is happening in a basic form right now. It does not predict the future, nor does it remember the past. It may evaluate what it sees at that moment — for example, game pieces on a game board to make the best move based on the current state of the game. Narrowing the choices of moves and rating the possible moves is a way to minimize computing power needed as well. Reactive machines have no ability to interactively participate in actions. This can be a good thing, such as with autonomous cars, where we want them to act the same way when they are involved in the same situations. However, it's not helpful if we need the machine, robot or car to sense the world and dynamically make decisions.
2. Limited memory: This type of AI works by building machine learning models based on past information, events, data, etc. Self-driving cars in this scenario relate to the speed of the car traveling in front, behind or beside them, and then act accordingly to keep you safe.
