Examples of artificial intelligence (AI) in popular culture often include a swarm of intelligent robots bent on overthrowing humans, or at least a flashy theme park. Perception machines with general artificial intelligence don’t exist yet, and they probably won’t exist anytime soon, so we’re safe…for now.
This is not to belittle the potential impact of AI on our future. In a recent survey, more than 72 percent of Americans expressed concern about a future in which many human jobs will be done by machines. Additionally, tech billionaire Elon Musk, a longtime advocate for regulating AI, recently said that AI is more dangerous than nuclear weapons. Despite these legitimate concerns, we’re still a long way from living in Westworld.
Artificial intelligence example:
robot
medical insurance
self-driving car
financial investment
Tourism and Transportation
social media
e-commerce
marketing
Whether we realize it or not, artificial intelligence is all around us and plays an active role in our daily lives. Every time we turn on our Facebook News Feed, do a Google search, get product recommendations from Amazon, or book a trip online, artificial intelligence lurks in the background.
Let’s take a closer look at these 27 AI examples below, showing the technology’s broad application across multiple industries.
artificial intelligence application robot
Industry leaders still can’t agree on what the term “robot” means. Robotics experts consider robots to be programmable machines that can perform tasks, but no one can pinpoint the end of that definition.
Today’s AI-powered robots, or at least those machines that are considered AI, do not possess natural general intelligence, but they are able to solve problems and “think” with limited capabilities.
Examples of AI abound in robotics, from working on Tesla’s assembly lines to teaching Japanese students English.
1. iRobot
Industry: Consumer Electronics, Software, Hardware
Location: Bedford, Massachusetts
How to use artificial intelligence:
The makers of the popular Roomba, iRobot, are back with a new, smarter robot vacuum.
Roomba980 uses artificial intelligence to scan the size of the room, identify obstacles, and remember the most efficient cleaning route. The self-deploying Roomba can also determine how much vacuuming needs to be done based on the size of the room, and clean floors without human assistance.
In 2017, the company completed its first year of purely consumer-focused business with $883.9 million in revenue. Since 2002, Roomba has shipped more than 10 million units.
2. Hanson Robotics
Industry: Robotics, Artificial Intelligence
Location: Hong Kong
How to use artificial intelligence:
Hanson Robotics is building humanoid robots with artificial intelligence for the commercial and consumer markets.
Sophia, created by Hanson, is a very advanced social learning robot. Through artificial intelligence, Sophia can communicate effectively using natural language and use facial expressions to convey human-like emotions.
Sophia has become a media personality over the past few years, appearing on various talk shows, including a memorable appearance with Jimmy Fallon on The Tonight Show. The bot even accepted Saudi Arabian citizenship.
Hanson plans to launch a full line of robots like Sophia, which they believe have “immediate application for media characters in movies and TV shows, entertainment animatronics in museums and theme parks, and university research and medical training applications.”
3. Emotech
Industry: Robotics, AI, Hardware
Location: London
How to use artificial intelligence:
Emotech is the creator of Olly, a voice-controlled AI assistant similar to Amazon Alexa or Google Home, but with one notable difference – Olly has an evolving personality.
Olly’s personality comes from a variety of machine learning algorithms that teach the robot to gradually become more like its owner.
Emotech’s AI technology can understand the user’s facial expressions, voice inflections and language patterns to proactively initiate conversations and make relevant suggestions. The small robotic desktop assistant can also move, turning itself toward the user when determining what to do next.
Olly’s capabilities far exceed the capabilities of current voice assistants. For example, if Olly sees you taking a break, it might ask if you’ve had a long day, and then suggest some of your favorite music to help unwind.
AI Applications in Healthcare
AI is proving to be a game-changer in the healthcare industry, improving nearly every aspect of the industry, from robot-assisted surgery to protecting private records from cybercrime.
Healthcare has long been plagued by soaring medical costs and inefficiencies. Artificial intelligence is bringing much-needed change to this much-maligned industry.
AI virtual assistants are reducing unnecessary hospital visits and saving nurses 20% of their time; workflow assistants are helping doctors free up 17% of their time; pharmaceutical companies are spending more time and cost than traditional research on life-saving drugs The cost is much lower; AI is even being used to help underdeveloped countries achieve healthcare.
Here are a few examples of how artificial intelligence can streamline processes and open up innovative avenues for the healthcare industry.
4. Covera Health
Industry: Diagnostics
Location: New York
How to use artificial intelligence:
CoveraHealth is leveraging collaborative data sharing and applying clinical analytics to reduce the number of misdiagnosed patients worldwide. The company’s proprietary technology leverages a framework that combines advanced data science and artificial intelligence to rank existing diagnoses to provide practitioners with more accurate symptom data when making decisions that have a significant impact on patients’ lives , reducing the knock-on effects of incorrect care, saving the healthcare industry hundreds of billions of dollars.
5. Well
Industry: Personalized health coaching
Location: Chapel Hill, North Carolina
How to use artificial intelligence:
Well allows people to live better lives and quickly get the medical guidance they need, allowing them to make more informed decisions about the care they receive.
Well has a proprietary AI-driven “wellness engine” that helps each user with personalized wellness coaching. Well guides people on the right health journey based on their pre-existing illnesses, ongoing health problems and gaps in general health knowledge. The health engine combines personal and external health data to provide informed recommendations based on other user experiences, as well as store redeemable points for completing challenges and supporting the community. Assist users with screenings and questionnaires with prescribing support, vaccination advice, recommended doctor visits, and situation-specific guidance.
6. Path AI
Industry: health diagnosis, machine learning
Location: Boston
How to use artificial intelligence:
Path AI creates artificial intelligence-driven technology for pathologists.
The company’s machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The aim is not only to improve the accuracy of diagnosis, but also to improve treatment. PathAI’s technology can also identify the best clinical trial participants.
PathAI, in partnership with the Bill & Melinda Gates Foundation and Philips, has developed a number of prognostic testing support tools and a plan for the sustainable use of its advanced diagnostic services.
7. Pager
Industry: medical, mobile applications
Location: New York
How to use artificial intelligence:
Pager uses artificial intelligence to help patients with mild pain and disease.
The company deploys machine learning to analyze clinical and claims data to uncover gaps in patient healthcare treatment. In addition to providing medical advice, this concierge-like service helps patients schedule appointments and make payments.
The Pager app allows any user to chat 24/7 with nurses via text message, chat with doctors via video, and dispense medication as needed.
8. Atomwise
Industry: Machine Learning, Healthcare
Location: San Francisco
How to use artificial intelligence:
Atomwise is using artificial intelligence and deep learning to facilitate drug discovery.
Using convolutional neural network-based techniques, Atomwise’s algorithms can “extract insights from millions of experimental affinity measurements and thousands of protein structures to predict the binding of small molecules to proteins.”
The company’s artificial intelligence increases hit rates by 10,000 times, screens 10 to 20 million compounds per day, and identifies patient characteristics for clinical trials. With the ability to analyze billions of compounds and pinpoint areas of drug discovery, the technology is rapidly accelerating the work of chemists.
Atomwise is being used to address some of today’s most pressing medical problems, including Ebola and multiple sclerosis.
9. Massachusetts General Hospital
Industry: Hospitals, Medical Research
Location: Boston
How to use artificial intelligence:
Massachusetts General Hospital, one of the oldest hospitals in the world, has partnered with computing company NVIDIA to implement AI-powered machines for disease detection, diagnosis, treatment and management processes.
These projects are currently being trained using more than 10 billion radiology and pathology medical images to facilitate faster testing and diagnostic capabilities.
The hospital recently completed a pilot system using artificial intelligence for rapid pre-screening of patients with pneumothorax, commonly known as lung failure. The results are so promising that implementation of the technique in emergency rooms is planned.
Artificial intelligence for self-driving cars
Self-driving cars are the ultimate manifestation of the future. Self-driving technology, once considered science fiction, is slowly making its way to the reality of driverless cars. In fact, more than 33 million self-driving cars are expected to be on the road by 2040. We should thank AI for allowing us to see a truly futuristic technological breakthrough.
Artificial intelligence is driving the future of the self-driving car industry. These cars are loaded with sensors that constantly record everything that’s going on around the car and use artificial intelligence to make the right adjustments. These sensors capture thousands of data points (such as car speed, road conditions, pedestrian locations, other traffic conditions, etc.) every millisecond and use artificial intelligence to help interpret the data and act on it – all in the blink of an eye Finish. We may still have a long way to go before we are fully autonomous, but these companies are paving the way for a self-driving future.
10.Motional
Industry: Autonomous driving, ride-sharing
Location: Santa Monica, California
How to use artificial intelligence:
Motional is leveraging advanced technologies combined with artificial intelligence and machine learning to make driverless cars safer, more reliable and more accessible.
The company, a joint venture between automotive technology firm Apertiv and Hyundai Motor Group, combines expertise in functional and forward-looking technologies to develop driverless technology for the present, not the future.
Combining short-range and long-range LiDAR sensors, radar, strategic camera placement, and patented technology, Motional has delivered more than 100,000 autonomous driving since 2016, while maintaining a record of zero-failure incidents. The company has already started working with major ride-sharing organizations like Lyft, Via and CoxAutomotive to bring its technology to a larger scale, with a launch as early as 2021.
11. Cruise
Industry: autonomous driving, car manufacturing, artificial intelligence, data science
Location: San Francisco
How to use artificial intelligence:
Cruise is at the forefront of self-driving cars. The company’s self-driving cars are the first vehicles in the world to hit the road, using artificial intelligence to lead the way. Self-driving cars collect petabytes of information every day. Using this huge data set, AI continuously learns the best safety measures, driving techniques, the most efficient routes and more, ultimately keeping cyclists safe.
Cruise is currently using AI to power its self-driving cars, as well as their “CruiseOrigin” – a self-driving electric-sharing vehicle. The sci-fi-looking car has driven more than a million miles in San Francisco alone without a single minor accident.
12. Waymo
Industry: autonomous driving, logistics, carpooling
Location: Mountain View, California
How to use artificial intelligence:
Waymo is Google’s self-driving car project. The company makes a wide variety of self-driving cars designed to meet the needs of drivers across the country, including individuals, ride-sharing drivers and large trucking companies.
Waymo’s vehicles have driven millions of miles in more than 10 states, using artificial intelligence to collect and analyze data along the way. Each Waymo car collects data using a suite of advanced sensors and uses artificial intelligence to decipher what happens next. Thanks to artificial intelligence, Waymo cars can analyze the situation and make safe predictions about the best next move without the need for a human to interact with the steering wheel.
WaymoOne, the company’s ride-hailing service, is currently used in the Phoenix area to pick up passengers and drop them off at their destination — all automatically, of course. Meanwhile, WaymoVia focuses on long-distance logistics and last-mile delivery for autonomous vehicles.
13. Luminar
Industry: lidar, self-driving cars
Location: Palo Alto, California
How to use artificial intelligence:
Luminar Technologies is producing one of the most advanced lidar-based automotive vision products in the world. The company’s sensors, which use fiber lasers, allow AI systems in self-driving cars to gain insight into the world around them. The technology allows artificial intelligence-based software systems to see people, objects, events, road conditions, etc. from 250 meters away, so self-driving cars can have enough time to analyze and respond to any given situation. This innovative technology is able to measure the speed of different objects, so self-driving cars can easily identify the optimal action in a safe time.
AI Applied Finance
AI and the financial industry are a match made in heaven. The financial sector relies on accuracy, real-time reporting and processing large amounts of quantitative data to make decisions, all areas where intelligent machines excel.
As the industry takes notice of the efficiency and accuracy of AI, it is rapidly applying automation, chatbots, adaptive intelligence, algorithmic trading and machine learning to financial processes.
The biggest gold of 2018
One of the financial trends is robo-advisors, a type of automated portfolio manager.
These automated advisors use artificial intelligence and algorithms to scan market data and predict the best stocks or portfolios based on preferences. Wealth management firms are turning to robo-advisors, not only because it saves companies and clients time and money, but also generates some extraordinary returns.
Here are a few examples of how AI is changing the financial industry.
14. Betterment
Industry: Fintech, Impact Investment
Location: New York
How to use artificial intelligence:
Betterment is an automated financial investment platform and a pioneer in robo-advisor technology. It uses AI to understand investors and build personalized profiles based on investors’ financial plans.
Betterment’s robo-advisors use algorithms to automate tax loss collection, trading, trading, and portfolio management, all tasks that used to require a lot of human effort and expertise.
Betterment manages $10 billion worth of assets and serves 250,000 customers as of last year.
15. Alpha Sense
Industry: Fintech, Search Engine
Location: New York
How to use artificial intelligence:
AlphaSense has created an AI-powered financial search engine to help investment firms gain an informational edge.
Using a combination of language search and natural language processing, the program can analyze key data points from 35,000 financial institutions. The system is able to scan millions of data points and generate actionable reports based on relevant financial data, saving analysts a lot of time.
Industry impact: According to the company’s website, more than 800 financial firms use AlphaSense, including some Fortune 500 companies.
16. Numerai
Industry: Hedge Funds, Artificial Intelligence, Blockchain
Location: San Francisco
How to use artificial intelligence:
Numerai is an AI-powered hedge fund that uses crowdsourced machine learning from thousands of data scientists around the world.
The company publishes abstract financial data to its community of data scientists, all of whom are using different machine learning models to predict the stock market.
The models compete against each other in weekly tournaments where creators compete for the company’s cryptocurrency Numeraire (NMR). The most accurate predictions will appear at the top of the leaderboard and earn more tokens.
But Numerai doesn’t really reward winners and losers. Contests are just a way to collect more models. The company’s real breakthrough is in how it synthesizes all the different approaches into one “metamodel.”
Diversity of models in the “metamodel” creates portfolio diversity, reduces risk, and produces higher returns. In short, the more algorithms at work, the better.
Industry impact: The company is top secret about the makeup of the fund, clients and performance, but has more than 35,000 data scientists contributing to its platform and has paid out about $15 million worth of cryptocurrency.
Artificial Intelligence Applications Tourism and Transportation
Artificial intelligence is becoming a megatrend in the travel and transportation industries. From scheduling trips to suggesting the most efficient route home from get off work, artificial intelligence is making travel easier.
Travel companies in particular take advantage of the ubiquity of smartphones. More than 70 percent of users say they book trips, check travel tips, and research local landmarks and restaurants on their phones. A third said they had used a virtual travel assistant to plan an upcoming trip.
AI-powered chatbots are rapidly transforming the travel industry, with human-like interactions with customers for faster response times, better booking prices, and even travel recommendations.
For example, telling a travel chatbot that you want to go to Paris might result in a natural language response, suggesting flights, hotels, and activities in the City of Lights based on user preferences culled from the conversation.
Below are some examples of AI applications in the travel and transportation industries.
17. Hopper
Industry: Tourism, Mobile App
Location: Boston, Montreal
How to use artificial intelligence:
Hopper uses artificial intelligence to predict when users can book the cheapest airfare, hotel, car and vacation home rentals. The company’s artificial intelligence scans hundreds of reservations and provides them with the latest prices. However, there is a lot more to this AI.
Hopper also uses historical data on flights and hotels to recommend to users whether a booking has reached the lowest price, or whether the user should hold on for a while longer and wait for the price to drop. To date, Hopper’s AI-based algorithms have saved users more than $2.2 billion on flights alone.
18. Google
Industry: search engine, artificial intelligence, IT, video streaming
Location: Mountain View, California
How to use artificial intelligence:
Google uses artificial intelligence in many areas, but the specific application of this technology to Google Maps makes our commute easier.
With AI-powered mapping technology, the search giant’s technology scans road information and uses algorithms to determine the best route, whether on foot or by car, bike, bus or train.
In the near future, Google plans to further advance AI in mapping applications by enabling voice assistants and creating augmented reality maps in real-time.
In addition to helping millions of users find their way every day, the popular ride-sharing service Lyft uses Google Maps to build navigation for drivers.
19. Hipmunk
Industry: Mobile App, Travel
Location: San Francisco
How to use artificial intelligence:
Hipmunk from Concur offers booking prices on flights, hotels, excursions and even vacation rentals through Airbnb. The company’s “HelloHipmunk”, launched in 2015, is an artificial intelligence-powered travel assistant.
Users can chat with the bot on Facebook, Slack or Skype, book flights, and find vacation ideas based on topics and interests. Travelers can also copy “HelloHipmunk” in emails discussing potential travel plans, and the bot will provide travel advice. Additionally, the virtual assistant scans your calendar for upcoming events and starts organizing future trips.
“HelloHipmunk” was one of the first travel chatbots and is still popular more than two years after its launch. Overall, the virtual assistant industry is growing rapidly, with total revenue expected to reach $15.8 billion by 2021.
artificial intelligence social media
Social media has more than 2.77 billion active user profiles on platforms such as Twitter, Facebook and Snapchat. So social media has always struggled to personalize and foster a valuable experience for users.
AI could make or break the future of this industry.
With its ability to organize vast amounts of data, recognize images, introduce chatbots and predict cultural changes, AI is extremely valuable to an industry with billions of users and about $45 billion in annual revenue.
Additionally, in an industry facing real-time pressure to police fake news, hate speech and other bad actors, advanced machine learning could prove crucial.
Here are some examples of how some of the biggest names in gaming have used AI.
20. Facebook
Industry: Social Media
Location: Menlo Park, California
How to use artificial intelligence:
Whether it’s Messenger chatbots, algorithmic news feeds, photo tag suggestions or ad targeting, AI is deeply embedded in Facebook’s platform.
The company’s AI team recently trained an image recognition model with 85 percent accuracy using billions of tagged Instagram photos. This method is a major breakthrough in computer vision modeling.
Facebook is already using a combination of artificial intelligence and human moderation to fight spam and abuse. With breakthroughs in image recognition and doubling down on AI research, Facebook is relying on AI to help regulate the world’s largest media platform.
21. Twitter
Industry: Social Media
Location: San Francisco
How to use artificial intelligence:
The tweets you see on Twitter are because of artificial intelligence. The social media giant’s algorithmic suggestions suggest following, tweets and news based on the user’s personal preferences.
Additionally, Twitter uses artificial intelligence to monitor and categorize topic-based video feeds. The company’s image cropping tool also uses artificial intelligence to determine how to crop an image to focus on the most interesting parts.
Twitter’s artificial intelligence was recently used to identify hate speech and terrorist language in tweets. In the first half of 2017, the company discovered and blocked 300,000 terrorist-related accounts, 95 percent of which were discovered by non-human AI machines.
22. Slack
Industry: Software, Communications, Collaboration Tools
Location: San Francisco
How to use artificial intelligence:
Slack’s AI uses a data structure called a “job graph” to gather information about how each company and its employees use tools and interact with each other.
The data in the “job graph” can then be used to train AI models, making Slack more user-friendly. For example, the company estimates that the average user receives more than 70 messages per day. Slack uses machine learning and natural language processing in a feature called “Highlights,” which moves more relevant information to the top.
In addition to “Highlights,” Slack’s search leverages artificial intelligence to help users locate knowledge experts and the channels where they can be reached by analyzing who’s talking about what and where.
artificial intelligence application e-commerce
Have you ever browsed a website only to find a picture of a shirt you just happened to see on another website pops up again? It’s because of artificial intelligence.
Applying machine learning to the e-commerce process enables companies to build personal relationships with customers. AI-powered algorithms personalize the user experience, increase sales, and build loyal and lasting relationships.
Companies use AI to deploy chatbots, predict purchases and collect data to create a more customer-centric e-commerce experience.
Here’s how some of the major e-commerce leaders are using artificial intelligence to boost sales and loyalty.
23. Live Person
Industry: artificial intelligence, natural language processing, software
Location: fully remote
How to use artificial intelligence:
Live Person is revolutionizing the world of sales and marketing with conversational artificial intelligence. Businesses can use LivePerson’s technology to create conversational ads that engage consumers on company websites, social media and other third-party channels. Instead of navigating to a landing page, consumers can now access personalized interactions the way they prefer.
LivePerson’s conversational AI also offers customers the option to replace calls with messages, reducing call volume, wait times and costs. As this AI technology engages consumers and customers at relevant moments, businesses can increase conversions and build relationships through exceptional service.
24. Amazon
Industry: E-commerce, media, food, etc.
Location: Seattle
How to use artificial intelligence:
Amazon is the king of artificial intelligence in e-commerce. Whether it’s the product the company recommends to buy, the warehouse robots that grab, sort, and ship products, or the web services that power the website, Amazon employs artificial intelligence at nearly every step of its process.
In 2014, the company launched Alexa, an artificial intelligence voice assistant. Inspired by the computer in Star Trek, Alexa has ushered in a wave of powerful, conversation-driven virtual assistants.
Amazon has literally rebuilt its business on AI, launching a slew of AI projects. Simply put, if anything has been done on Amazon in the past five years, an algorithm can find out.
25. Twiggle
Industry: artificial intelligence, e-commerce, natural language processing
Location: Tel Aviv, Israel
How to use artificial intelligence:
Twiggle, an advanced search engine for e-commerce sites, uses natural language processing to improve search relevancy and product awareness for businesses.
The combination of human-like deep learning and understanding of the retail industry helps connect customers with what they really need.
Twiggle claims that a website with 2 million monthly visitors can lose as many as 266,600 customers to poor searches. For customers using its searches, the company claims a 9% increase in “add to cart” and a 12% increase in click-through rates.
artificial intelligence application marketing
Marketers are allocating more and more budgets to the implementation of artificial intelligence, as machine learning has dozens of uses in successfully managing marketing campaigns.
Another reason for the increased budget? AI-driven tools are now widely available for small and medium businesses.
AI is helping marketers build in-depth customer insight reports, drive the creation of relevant content, and book more high-impact business meetings—all without significant human influence.
Here is an example of artificial intelligence in marketing.
26. Drift
Industry: Marketing Automation
Location: Boston
How to use artificial intelligence:
Drift uses chatbots, machine learning and natural language processing to help businesses book more meetings, help customers with product issues, and improve the efficiency of the sales cycle.
The technology is especially good at automating traditionally time-consuming marketing tasks. For example, once a customer lands on a website using Drift, a chatbot will pop up asking a question. If they’re a lead, they’re automatically placed in the campaign. Additionally, the company’s “Drift Assistant” can automatically reply to emails, find leads and update contact information.
Companies like Toast and Zenefits are using Drift to complete high-quality sales in minutes instead of days. Currently, more than 100,000 businesses are using Drift.
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