From Siri and Alexa to self-driving cars, artificial intelligence is progressing rapidly. They are taking place and replacing human to human contact. Write an article in about 150 words describing how artificial intelligence has taken over our lives and how we have become dependent on them. whoever will give a good answer before 11:50 i will mark brainliest please give a good answer
Answers
Explanation:
Artificial intelligence has become the buzzword in the business community. Though it’s not new to use software to reduce human effort, artificial intelligence has added whole new possibilities. The old school rule-based automation provides a limited scope of reducing human work. With the combination of artificial intelligence and automation, we can not just reduce human effort but also remove the need for intervention altogether. This combination of artificial intelligence in automation is popularly called automation continuum (or intelligent Robotic Process Automation).
Major Components of AI in Automation:
An intelligent automation system functions using these three components of artificial intelligence. Depending upon the need, they can be combined or used to separately to create a fully automated solution:
Machine Vision:
Machine vision refers to the potential of a program to understand visual input. The machine uses the training data (images) as a base for a classification or identification mechanism. The best example of machine vision is the face recognition in the iPhone X. The Facebook Artificial Intelligence Research Program is also a good example as it analyzes images, identifies attributes and then classifies and explains the new visuals to the user.
Natural Language Processing:
Where machine vision works on the visuals, Natural Language Processing (NLP) does the same to understand human voice and text inputs. We come a long way in making NLP efficient. Now it is possible for machines to understand the context behind the communication and take actions based on the prebuilt data and contextual variables. Apple’s Siri, Google Assistant, and Amazon Alexa all rely on NLP to provide value to users.
Machine Learning:
Machine learning is the ability of the machine to learn from the data fed, outcomes of decisions and environment variables to improve itself. Using machine learning we can improve the efficiency of current solutions. For instance, if an issue comes under an intelligent automation system and human intervention comes into play to resolve it, the next time system will automatically follow the procedure used by a human. Hence over time, the efficiency will improve and human effort will reduce.
Key Applications of Artificial Intelligence in Automation:
Artificial intelligence in automation can help in a wide range of functions. From self-driving cars to drones all are using intelligent automation. Here are some key ways a business can benefit from a combination of AI and robotic process automation:
1. Fraud Prevention:
We will finally be able to link a theft directly to the face of the person. A camera can be attached to the POS system to record all the transactions and link them directly to the face along with the details already in the system. In case someone uses fake currency or commits credit card fraud, it will be much easier to catch them. An intelligent system can also prevent cyber attacks by identifying abnormal behavior or requests from the user. In such a situation the system automatically stops taking any requests and sends an alert to the administrator.
2. Brand Management:
Automation can make the task of brand management a breeze. Marketers continuously struggle to understand the consumer’s opinion about their brand. With automation, they can automate the analysis of all the content across the internet on a regular basis and identify critical issues. The Watson Analytics for Social Media is the perfect example of such automation in reality. The user can define a set of focus keywords, define the context and understand the opinion of users online in just a few minutes.
Experts on the Future of Artificial Intelligence and Big Data
4. Software Testing and Development:
Automation in testing is a rapidly growing field. With a range of tools currently available, it is possible that the work of testing is almost completely automated in future. Some of the popular intelligent testing tools are Applitools, SauceLabs, Test.AI, ReTest etc. With these tools, developers can focus on core coding and leave the worries of bug fixing on intelligent systems. While development automation is a long way to go there are tools that can relieve developers from menial tasks. For instance, the Amazon Glue is a fully managed ETL engine that can handle the grueling working of typing the ETL script.
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