Throughout our daily lives, we come across applications of artificial intelligence. From virtual assistance services such as Alexa or Siri to automated chatbots that answer questions for businesses, AI is becoming more prevalent. Agricultural applications of AI include autonomous tractors and drone monitoring, which boost the yield of crops. In 2011, IBM Watson won the Jeopardy game show, demonstrating its ability to understand plain language and solve complex problems.
The Internet Revolution propels AI to unprecedented heights, and the terms big data become part of the corporate lexicon. Before these technologies become household names, DARPA develops and deploys intelligent personal assistants. These systems would eventually become the basis of smart personal assistants, decision support systems, and smart search systems, all designed to augment the human experience. The future of artificial intelligence is bright, and it will continue to improve our lives.
Banks are already using AI to create automated chatbots that answer questions and handle transactions for customers without human interaction. These AI virtual assistants can improve compliance with banking regulations, make decisions about loans, set credit limits, and find investment opportunities. AI will also help manage traffic, predict flight delays, and make ocean shipping safer. And if we think of all the ways AI is helping humans, it’s clear that it’s making the world a better place to live.
Businesses are using artificial intelligence to improve their operations, provide better customer service, and even design new products. Online chatbots are also using AI to help people find answers to questions without having to wait for someone to answer them. AI can also work 24/7 without being physically present. Using AI to monitor online data sets means that portfolio managers won’t make mistakes due to lapsed attention. Whether you’re in an office or on a plane, AI can work for you.
Google is already using AI in various applications. The company’s Maps application uses AI technology to make smart recommendations based on information about road conditions and traffic patterns. It will soon be integrated with a voice assistant, and it will create real-time augmented reality maps. In addition to a thriving e-commerce business, Amazon is putting AI to work. Its AI projects are changing the way consumers shop and do business.
The US Department of Defense is developing AI programs that will help prevent terrorists and other potential threats. Frank Rosenblatt develops a computer known as the Mark 1 Perceptron, based on a neural network that learns from experience. The neural networks, also known as backpropagation algorithms, find widespread use in AI systems. And when it comes to AI applications, the Deep Blue supercomputer beat world chess champion Garry Kasparov twice, proving its worth. Meanwhile, the genome-sequencing project produces vast amounts of data.
AI systems in healthcare are reducing human errors and increasing efficiency in routine administrative tasks. AI systems read and transcribe medical records and assess patient information to prevent mistakes, and can even determine whether a patient is in need of medical attention. As AI continues to grow, medical professionals’ workloads will decrease. However, there are many concerns about bias and discrimination. To address these concerns, governments should extend existing anti-discrimination laws to digital platforms. This will protect consumers and foster public confidence in AI.
AI systems are already making waves in the medical industry. They are helping doctors detect cancer earlier, confirm diagnoses, and identify patients who need additional medical care. AI is also allowing for the efficient use of massive volumes of data. Ultimately, AI will reduce human errors and improve patient care. So, what are the applications of AI in healthcare? A few examples include:
In the financial services industry, AI is being applied in many ways. For example, advanced AI engines are monitoring payment card transactions to detect fraudulent transactions in real time. Another use of AI in retail is in call centers. AI can help predict customer queries and make relevant add-on recommendations during the checkout process. A recommendation engine is a powerful tool for analyzing customer reviews. By automating the process of analyzing customer behavior, AI can improve customer experience and satisfaction.