Introduction to Importance of Artificial Intelligence
Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. As an example, most humans can figure out how to not lose at tic-tac-toe (noughts and crosses), even though there are 255,168 unique moves, of which 46,080 end in a draw. Far fewer folks would be considered grand champions of checkers, with more than 500 x 1018, or 500 quintillion, different potential moves. Computers are extremely efficient at calculating these combinations and permutations to arrive at the best decision. AI (and its logical evolution of machine learning) and deep learning are the foundational future of business decision making.
What Makes AI Technology So Useful?
Artificial intelligence technology offers several critical benefits that make it an excellent tool for virtually any modern organization, including:
- Automation – AI is able to automate a repetitive task that was previously done manually, without feeling any fatigue or having to take breaks like a human employee would need to do.
- Enhancement – AI can make products and services smarter and more effective, improving experiences for end-users, via capabilities like optimizing conversation bots or customer service menus, and delivering better product recommendations.
- Analysis – AI can analyze data at a much faster rate than humans, allowing it to find patterns much more quickly, and it can also analyze much larger datasets than humans, allowing it to uncover patterns humans would simply miss.
- ROI – AI maximizes the value of data since it’s able to do a better job analyzing complex, multi-variate relationships, without having to take any breaks and with fewer mistakes, making it an incredibly important technology for any business that relies on data and operates at scale.
Simply put, AI allows organizations to make better decisions, improving core business processes by increasing both the speed and accuracy of strategic decision-making processes.
Types of Artificial Intelligence
1. Purely Reactive
These machines do not have any memory or data to work with, specializing in just one field of work. For example, in a chess game, the machine observes the moves and makes the best possible decision to win.
2. Limited Memory
These machines collect previous data and continue adding it to their memory. They have enough memory or experience to make proper decisions, but memory is minimal.
3. Theory of Mind
This kind of AI can understand thoughts and emotions, as well as interact socially. However, a machine based on this type is yet to be built.
Self-aware machines are the future generation of these new technologies. They will be intelligent, sentient, and conscious.