Role of Artificial Intelligence (AI) in Application Development

access_time February 13, 2020
by   TechmavenitAdmin
chat_bubble 0
remove_red_eye 787 views
https://www.techmavenit.com/blog/wp-content/uploads/2020/02/ai.jpg
All are agreed presently that Artificial Intelligence (AI) is bound to transform the way app development will occur in the days to come. App development companies are eagerly focused on putting the technology into the hands of people and are looking to introduce it through apps in their mobile devices. Incorporating artificial intelligence (AI) in to the app development process brings in numerous benefits including helping in landmark recognition, image labeling, barcode scanning, face recognition, text recognition and a host of other benefits. According to an IDC projection, the AI market will be worth more than $47 billion in 2020 and as many as 62% enterprises will adopt the technology at the earliest. What then is Artificial Intelligence (AI) Artificial intelligence is an area of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. These technologies learn from our behavior and adapt getting better with time striving to provide near- human solutions to big and small problems just like a personal expert. Let us then take a look at the technologies incorporated in to the AI process that help it perform the tasks it presently is capable of. Machine Learning Machine Learning (ML) is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. It is a subset of AI and relies on patterns and inferences to behave in the way it does. Machine learning would then allow an app to grow with you. Neural Networks A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In essence, neural networks recognize a pattern, be it in images, sounds, texts or any other format and use the accumulated datasets to be able to identify the respective stimulus. Today, neural networks are used for solving many business problems such as sales, forecasting, customer research, data validation, and risk management. Neural networks form an integral part of every artificial intelligence process. Natural language Processing Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken. NLP is a component of artificial intelligence (AI) and can be used to interpret free text and make it analyzable. Current approaches to NLP are based on deep learning, a type of AI that examines and uses patterns in data to improve a program’s understanding. Google and other search engines base their machine translation technology on NLP deep learning models. This allows algorithms to read text on a webpage, interpret its meaning and translate it to another language. The ability of a computer or an app to understand human language increases when natural language processing is incorporated in to artificial intelligence process.   Deep learning Deep learning is a subset of machine learning that imitates the workings of the human brain in processing data and creating patterns for use in decision making.  It is a machine learning technique that teaches a computer to filter inputs through layers to learn how to predict and classify information. Observations can be in the form of images, text or sound and the inspiration for deep learning is the way that human brain filters information. Deep learning is applied in many areas of artificial intelligence such as speech recognition, image recognition and natural language processing and self- driving cars etc. Conclusion Artificial intelligence is already an inseparable part of our lives and its acceptance is growing with each passing day. Application developers would do well to include artificial intelligence technologies in to their development process. Failure to adopt such new and fascinating technologies would hinder their ability to create apps that would serve the interests of the modern day user and enhance his business prospects.    

Our Recent Posts