AI is on the rise. And not in a creepy way.
While there are legitimate concerns about the rapidly advancing technology, there are also numerous artificial intelligence examples that prove it’s shaping the future for the better.
Artificial Intelligence Examples
- Manufacturing robots
- Self-driving cars
- Smart assistants
- Healthcare management
- Automated financial investing
- Virtual travel booking agent
- Social media monitoring
- Marketing chatbots
AI has already made a positive impact across a broad range of industries. It can automate processes to free employees of unnecessary labor, provide personalized learning options for students, enable cybersecurity companies to deploy faster solutions and help fashion companies design better-fitting clothing for their customers. Even ChatGPT is applying deep learning to detect coding errors and produce written answers to questions.
And this is only the beginning.
Let’s take a deeper dive into 36 other artificial intelligence examples further demonstrating AI’s diverse applications.
AI Robotics
Today’s AI-powered robots are capable of solving problems and “thinking” in a limited capacity. As a result, artificial intelligence is entrusted with performing increasingly complex tasks. From working on assembly lines at Tesla to teaching Japanese students English, examples of AI in the field of robotics are plentiful.
iRobot
Location: Bedford, Massachusetts
iRobot is probably best known for developing Roomba, the smart vacuum that uses AI to scan room size, identify obstacles and remember the most efficient routes for cleaning. The self-deploying Roomba can also determine how much vacuuming there is to do based on a room’s size, and it needs no human assistance to clean floors.
Hanson Robotics
Location: Hong Kong, China
Hanson Robotics is building humanoid robots with artificial intelligence for both commercial and consumer markets. The Hanson-created Sophia is an incredibly advanced social-learning robot. Through AI, Sophia can efficiently communicate with natural language and use facial expressions to convey human-like emotions.
Softbank Robotics
Location: San Francisco, California
Softbank Robotics developed a humanoid robot known as Pepper, which is equipped with an “emotion engine” that makes it “capable of recognizing faces and basic human emotions.” Standing at 4 feet tall, Pepper can operate in more than a dozen languages and has a touch screen attached to support communication. Softbank also developed a bipedal robot called NAO, which can be used in educational and research settings, as well as an autonomous vacuum named Whiz to handle commercial cleaning.
Miso Robotics
Location: Pasadena, California
Miso Robotics builds robotic kitchen assistants. The company has released Flippy 2, the second generation of its AI-equipped robot that helps with kitchen automation for tasks like frying food. The company also has its CookRight line, with systems for monitoring grilling and coffee brewing. Additionally, Miso Robotics has been developing a drink dispenser that can integrate with an establishment’s point-of-sale system to simplify and automate filling drink orders.
AI and Smart Assistants
If you’ve ever asked Siri to help find your AirPods or told Amazon Alexa to turn off the lights, then you’ve interacted with perhaps one of the most common forms of artificial intelligence permeating everyday life.
AI is the backbone of smart assistants, which can be accessed through most phones on the market these days and are also being integrated into cars and smart home devices. As of 2022, more than 120 million U.S. adults use a smart assistant at least once a month.
Here are some of the companies bringing consumers smart assistants equipped with artificial intelligence.
Apple
Location: Cupertino, California
Siri, Apple’s digital assistant, has been around since 2011 when it was integrated into the tech giant’s operating system as part of the iPhone 4S launch. Apple describes it as the “most private digital assistant.” Siri puts AI to work to help users with things like setting timers and reminders, making phone calls and completing online searches.
Microsoft
Location: Redmond, Washington
Microsoft joined the smart assistant trend in 2014 with the release of Cortana for Windows Phone 8.1. Cortana now serves as a “personal productivity assistant” integrated into the Microsoft 365 suite of apps. For example, this AI-enabled assistant has the ability to remind Microsoft users about emails that require follow-up or to recognize voice instructions to join a meeting through the Teams app.
Samsung Electronics
Location: Suwon-Si, South Korea
Samsung unveiled its intelligent assistant Bixby as part of the release of its Galaxy S8 and S8+ models in 2018. It works with quick commands to open a phone camera or start a particular playlist, but Bixby can also turn off lights through smart home devices or help locate items like misplaced Bluetooth earbuds. In addition to portable devices like phones and tablets, Bixby can also be accessed through certain Samsung appliances such as smart refrigerators.
SoundHound
Location: Santa Clara, California
Brands can work with SoundHound to develop and customize smart assistants using the company’s voice AI platform. Netflix, Pandora and Mercedes-Benz are among the companies that have worked with SoundHound on voice-enabled solutions. Building off its Speech-to-Meaning and Deep Meaning Understanding technology, SoundHound can integrate speech recognition, conversational AI and other components into cars and smart home devices.
AI in Healthcare
Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry from robot-assisted surgeries to safeguarding private records against cyber criminals.
Healthcare has long suffered from skyrocketing medical costs and inefficient processes. Artificial intelligence is giving the industry a much-needed makeover.
AI-enabled virtual assistants are reducing unnecessary hospital visits and giving nurses 8 to 16 percent of their time back in the process; pharmaceutical companies are researching lifesaving medicines in a fraction of the time and cost it traditionally takes; and AI is even being used to help bring advanced healthcare to nations that need it.
Here are a few examples of how artificial intelligence is streamlining processes and opening up innovative new avenues for the healthcare industry.
PathAI
Location: Boston, Massachusetts
PathAI creates AI-powered technology for pathologists. The company’s machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The aim is to not only improve diagnostic accuracy, but also treatment. PathAI’s technology can also identify optimal clinical trial participants.
Well
Location: Chapel Hill, North Carolina
Well develops a personalized health plan for each customer by collecting data on pre-existing conditions, ongoing health concerns and gaps in general health knowledge. Based on personal and external health data, users receive coaching, tips and rewards to encourage them to keep improving their individual health. Along each user’s health journey, Well offers guidance for screenings, questionnaires, prescriptions, vaccinations, doctor visits and specific conditions.
Atomwise
Location: San Francisco, California
Atomwise is using AI and deep learning to facilitate drug discovery. Using technology based on convolutional neural networks to analyze billions of compounds and identify areas for drug discovery, the company’s technology is rapidly speeding up the work of chemists. Atomwise’s algorithms have helped tackle some of the most pressing medical issues, including Ebola and multiple sclerosis.
Covera Health
Location: New York, New York
Covera Health combines collaborative data sharing and applied clinical analysis to reduce the number of misdiagnosed patients throughout the world. The company’s proprietary technology utilizes a framework that combines advanced data science and AI to sort through existing diagnostics to provide practitioners with more accurate symptom data when making a decision that will have a major impact on a patient’s life.
Pager
Location: New York, New York
Pager uses artificial intelligence to help patients with minor aches, pains and illnesses. The company deploys machine learning to analyze clinical and claims data to discover gaps in a patient’s healthcare treatment. In addition to making healthcare recommendations, this concierge-like service helps patients chat with doctors and nurses, schedule appointments, fill prescriptions and make payments.
Self-Driving Cars
Artificial intelligence is literally driving the future of the self-driving car industry. These cars are loaded with sensors that are constantly taking note of everything going on around the car and using AI to make the correct adjustments. These sensors capture thousands of data points every millisecond (like car speed, road conditions, pedestrian whereabouts, other traffic, etc.), and use AI to help interpret the data and act accordingly — all in a blink of an eye.
We may still have a long way to go until we’re fully capable of driving autonomously, but the companies below are paving the way toward an autonomous driving future.
Cruise
Location: San Francisco, California
Cruise is the first company to offer robotaxi services to the public in a major city, using AI to lead the way. The company’s self-driving cars collect a petabyte’s worth of information every single day. AI uses this massive data set to constantly learn about the best safety measures, driving techniques and most efficient routes to give the rider assurance they are safe.
Motional
Location: Boston, Massachusetts
Motional is utilizing advanced technology built with AI and machine learning to make driverless vehicles safer, reliable and more accessible. Combining short-range and long-range LiDAR sensors, radar, strategic camera placement and proprietary tech in development, Motional has provided self-driven rides through its robotaxi services and has expanded to offer autonomous delivery.
Waymo
Location: Mountain View, California
Waymo is Google’s self-driving car project. The company builds a variety of autonomous vehicles designed to meet the needs of drivers, including individuals, rideshare drivers and large trucking companies. With an advanced suite of sensors, each Waymo vehicle collects data and uses artificial intelligence to decipher what will happen next. Thanks to AI, Waymo vehicles can analyze situations and make safe predictions for optimal next moves.
Spartan
Location: Los Alamitos, California
Spartan helps autonomous car companies improve their ADAS sensors with its Ago sensor software. Sensitivity is a core trait of Ago software, allowing vehicles to more quickly detect objects and sharpen their reaction times during highway, urban driving and parking situations. For added convenience, the company delivers over-the-air software updates to keep its technology operating at peak performance.
Tesla
Location: Austin, Texas
Tesla has four electric vehicle models on the road with autonomous driving capabilities. The company uses artificial intelligence to develop and enhance the technology and software that enable its vehicles to automatically brake, change lanes and park. Tesla has built on its AI and robotics program to experiment with bots, neural networks and autonomy algorithms.
Luminar
Location: Orlando, Florida
Luminar is producing advanced LIDAR-based vehicle vision products. The company’s sensors use fiber lasers that give a self-driving car’s AI system an in-depth look at the world around it. The technology allows AI-based software systems to see people, objects, events and road conditions from more than 250 meters away, so an autonomous vehicle can have plenty of time to analyze and react to any given situation.
AI in Finance
AI and the finance industry are a match made in heaven. The financial sector relies on accuracy, real-time reporting and processing high volumes of quantitative data to make decisions — all areas intelligent machines excel in.
As the industry takes note of AI’s efficiency and accuracy, it is rapidly implementing automation, chatbots, adaptive intelligence, anti-fraud defenses, algorithmic trading and machine learning into financial processes.
Here are a few examples of how artificial intelligence is changing the financial industry.
AlphaSense
Location: New York, New York
AlphaSense created an AI-powered financial search engine to help investment firms gain an informational edge. Using a combination of linguistic search and natural language processing, the program can analyze key data points across various financial institutions. The system’s ability to scan millions of data points and generate actionable reports based on pertinent financial data saves analysts countless hours of work.
Betterment
Location: New York, New York
Betterment is an automated financial investing platform and a pioneer of robo-advisor technology that uses AI to learn about an investor and build a personalized profile based on their financial plans. Betterment’s robo-advisors use algorithms to automate tax loss harvesting, trading, transactions and portfolio management.
Numerai
Location: San Francisco, California
Numerai is an AI-powered hedge fund using crowdsourced machine learning from thousands of data scientists around the world. The company releases abstracted financial data to its community of data scientists, all of whom are using different machine learning models to predict the stock market. The models are pitted against one another in a weekly tournament where creators compete for Numeraire (NMR), the company’s cryptocurrency. The most accurate predictions make it to the top of the leaderboard and are awarded more tokens.
Silverwork Solutions
Location: Fully Remote
Silverwork Solutions pairs robotic process automation with artificial intelligence to improve the efficiency of mortgage companies and lenders. Cognitive robots work alongside human employees, tracking compliance rules, processing large data sets, making operational decisions and performing other tasks. Human workforces are then free to focus on serving customers, creating a smoother mortgage experience for all parties involved.
AI in Travel and Transportation
Artificial intelligence is becoming a mega-trend in the travel and transportation industries. From making travel arrangements to suggesting the most efficient route home after work, AI is making it easier to get around.
Advanced sectors like AI are contributing to the rise of the global travel technologies market, which is on track to hit $12.5 billion by 2026. In fact, artificial intelligence is seen as a tool that can give travel companies a competitive advantage, so customers can expect more frequent interactions with AI during future trips.
AI-powered chatbots are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking prices and even travel recommendations.
Here are some examples of how artificial intelligence is being used in the travel and transportation industries.
Location: Mountain View, California
Google uses AI in Google Maps to make commutes a little easier. With AI-enabled mapping, the search giant’s technology scans road information and uses algorithms to determine the optimal route to take — be it on foot or in a car, bike, bus or train. Google further advanced artificial intelligence in the Maps app by integrating its voice assistant and creating augmented reality maps to help guide users in real time.
SmarterTravel
Location: Cambridge, Massachusetts
SmarterTravel serves as a travel hub that supports consumers’ wanderlust with expert tips, travel guides, travel gear recommendations, hotel listings and other travel insights. By applying AI and machine learning, SmarterTravel provides personalized recommendations based on consumers’ searches. AI-powered analyses also enable SmarterTravel to find discounts and other travel information relevant to each consumer.
Hopper
Location: Fully Remote
Hopper uses AI to predict when you should be able to book the lowest prices for flights, hotels, car and vacation home rentals. The company’s AI scans hundreds of bookings and presents the most up-to-date prices. Using historical flight and hotel data, Hopper will also recommend to the user whether the booking has reached its lowest price point or if the user should hold out a bit longer for the price to drop.
AI in Social Media
With nearly 4 billion users across platforms like Twitter, Facebook and Snapchat, social media is in a constant battle to personalize and cultivate worthwhile experiences for users.
Artificial intelligence might make or break the future of the industry.
With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict shifts in culture, AI is highly valuable to an industry with billions of users and about $43 billion in revenue in 2022.
Additionally, advanced machine learning is likely to prove critical in an industry that’s under pressure to protect users against fake news, hate speech and other bad actors in real time.
Here are a few examples of how some of the biggest names in the game are using artificial intelligence.
Location: San Francisco, California
Twitter’s algorithms direct users to people to follow, tweets and news based on a user’s individual preferences. Additionally, Twitter uses AI to monitor and categorize video feeds based on subject matter. The company’s image cropping tool also uses AI to determine how to crop images to focus on the most interesting part.
Slack
Location: San Francisco, California
Slack’s AI uses a data structure called the “work graph” to gather information on how each company and its employees use the tool and interact with one another. Data from the work graph can then be used to train AI models that make Slack more user-friendly. Slack also uses machine learning and natural language processing in a feature called “Highlights” to move more relevant messages to the top.
Meta
Location: Menlo Park, California
Whether it’s Messenger chatbots, algorithmic newsfeeds, photo tagging suggestions or ad targeting, AI is deeply embedded in Meta’s Facebook platform. Facebook is already using a combination of AI and human moderation to combat spam and abuse. With breakthroughs in image recognition and a doubling-down on AI research, Meta is counting on artificial intelligence to monitor its media platform.
AI in Retail
Ever scrolled through a website only to find an image of the exact shirt you were just looking at on another site pop up again? You can thank artificial intelligence for that.
Implementing machine learning into e-commerce and retail processes enables companies to build personal relationships with customers. AI-driven algorithms personalize the user experience, increase sales and build loyal and lasting relationships.
Companies use artificial intelligence to deploy chatbots, predict purchases and gather data to create a more customer-centric shopping experience. Here’s how some major retail and e-commerce leaders are implementing AI to boost sales and loyalty.
Whole Foods Market
Location: Austin, Texas
Whole Foods has relied on Amazon’s Just Walk Out to give its stores a competitive edge. The system uses computer vision, sensor fusion and deep learning to track every item customers put in or take out of their cart and build a matching virtual shopping cart. Customers can connect their payment method when they enter the store and get a digital receipt after leaving without any checkout interaction.
LivePerson
Location: Fully Remote
Businesses can create conversational ads with LivePerson’s technology, engaging consumers on company websites, social media and other third-party channels. Rather than navigate to landing pages, consumers can now access personalized interactions through their preferred method. The conversational AI of LivePerson also gives customers the option to message in lieu of calling, reducing call volumes, wait times, and costs.
Amazon
Location: Seattle, Washington
Amazon is the king of e-commerce AI. Whether it’s the company’s recommendations on which products to buy, the warehouse robots that grab, sort and ship products or the web services that power the website itself, Amazon employs AI in almost every step of its process.
AI in Marketing
Marketers are allocating more and more of their budgets for artificial intelligence implementation as machine learning has dozens of uses when it comes to successfully managing marketing and ad campaigns.
Another reason for the budget increase? AI-powered tools like keyword search technologies, chatbots and automated ad buying and placement have now become widely available to small and mid-sized businesses.
Here are some examples of AI-powered marketing and advertising tools.
EliseAI
Location: New York, New York
EliseAI uses an AI-powered assistant to relieve marketing teams of communication duties. It interacts with prospects and customers via email, contact forms, texting and phone calls. In addition, EliseAI can also reschedule meetings, send follow-up messages and share instructions. As a result, marketing teams can focus on more urgent needs while entrusting EliseAI to maintain constant communication with top leads and customers.
RTB House
Location: New York, New York
RTB House goes beyond basic AI-powered marketing campaigns, informing each campaign with deep learning algorithms. Marketing teams can then quickly compile and organize complex data, segment and target specific audiences and determine the best platforms to reach their ideal buyers. RTB House also offers interactive banners for online environments, so companies can place ads, gather feedback and refine their marketing tactics.
Drift
Location: Fully Remote
Drift uses chatbots, machine learning and natural language processing to help businesses book more meetings, assist customers with product questions and make the sales cycle more efficient. The technology can automate tasks like replying to email, routing leads and updating contact information. For example, once a customer is on a website using Drift, a chatbot will pop up, ask questions and automatically slot them into a campaign if they are a lead.
GumGum
Location: Fully Remote
GumGum uses artificial intelligence to optimize and automate advertising. The company’s contextual intelligence platform Verity is able to analyze video, audio, image and written content to ensure it’s relevant to customers and determines ideal ad placements to maximize reach based on context rather than relying on data from third-party cookies.