October 21, 2020
Artificial Intelligence applies specifically to machines that act like human beings. Machines carry out activities in AI such as speech recognition, problem-solving and understanding, etc. If they have enough data, computers will run and behave like an individual.
Artificial intelligence is applied and effectively built around us in everyday life in fields of connectivity, time management, education, cognition, fitness, safety, traffic control, ordering, selling, shopping, and planning, researches, train resources, analyze data, minimize uncertainty and so on.
To create an AI application, one must need a lot of the latest technologies. Here are listed below some effective technologies that can be used in applications of AI in order to make an application more advance.
1) Machine Learning
The primary objective is to establish methods that enable the machine to understand. Currently, they are created for estimation and serve as an instrument for audience management. Digital marketing is the most profitable.
2) Natural Language Processing
NLP is a way of making computers to comprehend or communicate with the natural language that human beings speak. It also encourages a computer to respond to the human after processing his message, in the manner that human beings understand.
In order to check the accuracy of grammar in text, Natural Language Processing applications are found in IVR (Interactive Voice Response) applications used in call centres, language translation applications like Google Translate and word processors like Microsoft Word.
Automation seeks to accomplish monotonous and routine activities performed by computers that also increase flexibility and accomplish cost-efficient and more effective performance.
Neural networks, Machine learning and graphs are used in automation by many companies. Such automation can avoid fraud problems by using CAPTCHA technologies when financial transactions are online.
It uses templates that imitate the human method and is fed to a computer to successfully complete it. Robotic process automation is designed to perform routine tasks of high volume that can respond in various circumstances to the transition.
Today, as we can see, robots live in some shape. One type of robot is also the ATM from which we withdraw cash and there are several smart working robots.
5) Machine Vision
Machines are able to record and then interpret visual information. The analogue to digital transfer is used to transform the image to digital data, where cameras are used to record visual images, and digital signal processing is used to interpret the data. Then a machine is fed with the resulting data.
Signature detection, object recognition, and medical image processing, etc., can be found with the application of machine vision.
It helps to use computers to recognize human faces. The human face is mapped from a video or picture using biometric features and compared to the database to locate a match. A big obstacle in the use of this technology is the privacy issue.
Apart from above mentioned technologies, there are numerous technologies in the market to create an AI application in an effective manner such as Autonomous Driving and Vehicles, Digital Twin, Cyber Defense, Image Recognition, Emotion Recognition etc. And, you can always count on Cloud7Tech for making an AI application for your marketing and branding needs that elevate your business growth.