Artificial Intelligence and its benefits
What is AI?
Simply put Artificial Intelligence is Machine Emulating Man!! In other words, Artificial or Machine Intelligence is the simulation of human intelligence by machines, especially computer systems. Thus the cognitive functions like Learning, reasoning, problem solving, perception, decision making, etc. associated with the human mind are executed by machines.
Some of the avenues of AI Application are:
- Speech recognition
- Image recognition
- Toughest levels in strategic gaming & expert systems
- Machine vision
- Autonomously operating cars
- Intelligent routing in content delivery networks
AI can be categorised into different types. It could be Weak or Analytical: an AI system designed to perform a particular task. This form of AI has cognitive intelligence and uses learning based on past experience for future decisions. A Virtual personal assistant, like Siri can be a good example of this. Strong/ General/ Humanized AI shows cognitive, emotional as well as social sensitivities which means on encountering an unfamiliar task, the system is able to find a solution sans human intervention so it can be considered as self-aware or self-conscious.
Many big IT companies offer AI components or AI services (to platforms) along with their products. Some of them are IBM Watson Assistant, Amazon AI services, Microsoft Cognitive Services, Google AI, etc.
The models of AI typically include:
- Deep Learning
- Machine Learning
- Neural Networks
The AI field makes use of computer science, information engineering, mathematics (statistics, probability, etc), psychology, linguistics, philosophy, artificial neural networks, and many other fields.
Let us try to see some arenas of technology where AI has been incorporated:
- Machine Learning: is when a computer performs without being programmed. It uses Deep Learning, which can be considered as the automation of predictive analysis.
- Natural Language Processing: the processing of human language by a computer program. NLP is handled using Machine Learning and includes tasks like text translation, sentiment analysis and speech recognition.
- Robotics: Robots, as we all know, are used to perform tasks that are difficult or too repetitive for humans to perform like assembly lines for car production or by NASA to move large objects in space.
- Machine Vision: is enabling computer to see. This technology captures and analyses visual information using a camera, analog-to-digital conversion and digital signal processing. Machine vision isn’t bound by biology and can be programmed to see through walls, for example. It is used in a range of applications from signature identification to medical image analysis.
- Automated Cars: use a combination of computer vision, image recognition and deep learning to build automated skill at piloting a vehicle while staying in a given lane and avoiding unexpected obstructions, like pedestrians.
AI and machine learning have been already working in real-life situations like banking predictions. AI provides new tools to tackle old problems by giving organisations the ability to extract more relevant information from data, allowing them to achieve more complex goals in an easier way. It is generating interest from IT leaders to understand how the technologies can help their business meet the constant demands of cost optimization, growth, data analysis, overall improvement in efficiency. Under the IT umbrella, many sectors like banking, security and healthcare, are reaping the benefits of AI, with valuable innovation lessons to be learned.
Let us look at some of the trending applications of AI:
- Healthcare: From flying AI-enabled drones to transferring organs between hospitals to mining patient data & forming a hypothesis, AI is helping the medical industry big time. IBM Watson and chat bots are AI applications that are being widely used in healthcare.
- Business: Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers. AI is helping businesses innovate and create new jobs.
- Education: AI can assist in automation of grading, assessing students, tutoring etc.
- Finance: Through applications like Mint or Turbo Tax, AI helps in collating personal data and providing financial advice. Much of the trading oflate happens through software.
- Law: AI helps in automating the sifting through of documents which can be quite a daunting task. Firms are now developing QnA computer assistants that can sift programmed-to-answer questions by examining the taxonomy and ontology associated with a database.
Some of the potential risks of AI could be; Hackers trying to use sophisticated machine learning tools to gain access to sensitive systems, Autonomous vehicles being in an accident prone situation, fabricating videos of celebrities saying or doing things that never took place. Despite these potential risks, there are few regulations governing the use AI tools. AI is a field with promising prospects in various industries and should be seen as a great education option by the IT enthusiasts.