a reply to: machineintelligence
AI has been breaking into many new industries and very rapidly, but the extent to which it's already being used in 2019 and the pace in which it is
spreading exponentially into numerous other industry's may be rather surprising.
7 Industry's using AI now:
1) Healthcare and medicine - From front desk receptionists at clinics to CNAs, nurses, doctors, surgeons, and those in specialized areas, AI is
helping automate processes across the board. Artificial intelligence via robotics is a high-level use case where AI-powered bots are already assisting
with surgery's, including heart, colorectal, and thoracic. Electronic health record (EHR) technicians are using AI to help document, sort, and store
records in digital form.
2) Education - Classrooms have been implementing small, tactile robots using AI for students to interact with as a form of teaching assistant or
tutor. Instructors are using AI as well to automate tasks like grading but also to help indicate specifically where students are having trouble.
3) Marketing - Rather than spending endless hours A/B testing and running different headline and description combinations to determine click-through
rates, Google’s Responsive Search Ads can be used to compile results that are then coupled with data analytics as well as all other acquired
aggregate information being amassed such as customer current location and other frequented locations, known associates and their metadata, customer
spending habits using credit cards and store incentive cards, etc. in order to target potential customers with what the AI determines the best way to
reach the consumer with a product pitch.
4) Small business - The purpose of AI in a small business is to automate tasks that eat up a lot of time if done by a person. Many small businesses,
especially those who are niche industry players are using AI to provide their customers with recommendations based on what other people have purchased
or what people like will likely purchase next. Data analysis is a task prone to human error. Because acquiring, filtering, sorting, and analyzing data
takes a lot of time for a human data analyst, ML algorithms powered by artificial intelligence can help automate the laborious task of data
5) Retail and e-commerce - AI in retail and e-commerce is a sector that benefits largely from automation given the volume of customer information,
stock and inventory (in-store and online), and sales forecasting and predictions that have to be tracked. Also, In the e-commerce sphere, cart
abandonment occurs when a customer has items in their online shopping cart, but does not complete their site visit with a purchase. By using
predictive analytics and chatbots for retail, online stores can help lessen the likelihood that potential customers navigate away from their site
without making a purchase as well as using AI chatbot's with natural language processing to ensure that none of their questions go answered.
6) Public relations - Machine learning is helping with predicting consumers’ wants and needs. ML algorithms track trends in user data and make
predictions based on their findings. AI can help companies shape their approach while creating targeted products and services based on what ML
algorithms detect as “trending.”
7) Recruitment and human resources (HR) - For human resources (HR) professionals, automating the recruitment process through artificial intelligence
and machine learning is becoming widely popularized because it cuts back on manpower while making the task of finding candidates more streamlined.
I focused on industry's that are using AI right now that are directly affecting on a daily basis but left out a lot: Policing - predicting crime,
Military - border defense and autonomous weapons, Aviation - AI is already taking over landing planes in many airports, Social manipulation using
autonomous-powered algorithms - Cambridge Analytica is still under investigation for using the data from 50 million Facebook users to try to sway the
outcome of the 2016 U.S. presidential election and the U.K.'s Brexit referendum. We potentially are risking much and not just invasion of privacy,
social grading or discrimination. Stephen Hawking, Elon Musk and Bill Gates have all been warning of some extreme dangers to a society from widespread
rapid deployment of AI.