26 examples of how artificial intelligence is disrupting the business landscape

Examples of artificial intelligence (AI) in pop culture often include a race of intelligent robots bent on overthrowing humanity, or at least a flashy theme park. Sentient machines with general artificial intelligence don't exist yet, and they probably won't anytime soon, so we're safe...for now.

#This is not to belittle the potential impact of artificial intelligence on our future. In a recent survey, more than 72% of Americans expressed concern about a future in which machines will perform many human tasks. In addition, technology billionaire Elon Musk, who has long advocated the regulation of artificial intelligence, recently said that artificial intelligence is more dangerous than nuclear weapons. Despite these legitimate concerns, we're still a long way from living in Westworld.

Artificial Intelligence Example:

• Robots
• Healthcare
• Autonomous Vehicles
• Financial Investment
• Travel and Transportation
• Social Media
• E-Commerce
• Marketing

Whether we realize it or not, artificial intelligence is all around us and plays a positive role in our daily lives. Every time we open Facebook’s News Feed, conduct a Google search, get product recommendations from Amazon, or book a trip online, artificial intelligence is lurking in the background.

Let’s take a closer look at these 27 examples of artificial intelligence that demonstrate the wide range of applications of this technology across multiple industries.

Artificial Intelligence Application Robot

Industry leaders still cannot agree on the specific meaning of the word "robot". Robotics experts consider robots to be programmable machines that can perform tasks, but no one can pinpoint exactly where that definition ends.

Today’s AI-powered robots, or at least those machines that are considered AI, do not possess natural general intelligence, but they are capable of solving problems and operating within limited capabilities "think".

From working on a Tesla assembly line to teaching English to Japanese students, examples of artificial intelligence in robotics abound.

1. iRobot

Industry: Consumer Electronics, Software, Hardware

Location: Bedford, Massachusetts

How to use artificial intelligence:

The maker of the popular Roomba-iRobot is back with a new, smarter robot vacuum.

Roomba980 uses artificial intelligence to scan room sizes, identify obstacles, and remember the most efficient cleaning routes. The automatically deployed Roomba can also determine how much vacuuming is needed based on the size of the room and eliminate the need for human assistance to clean floors.

In 2017, the company completed its first year of purely consumer-focused business with revenue of $883.9 million. Since 2002, more than 10 million Roomba units have been shipped.

2. Hanson Robotics

Industry: Robotics, Artificial Intelligence

Location: Hong Kong

How to use artificial intelligence:

Hanson Robotics is making humanoid robots with artificial intelligence for the commercial and consumer markets.

Sophia, created by Hanson, is a highly advanced social learning robot. Through artificial intelligence, Sophia can effectively communicate using natural language and use facial expressions to convey human-like emotions.

Over the past few years, Sophia has become a media personality, appearing on various talk shows, including a memorable appearance on The Tonight Show with Jimmy Fallon Appearance. The robot even accepted citizenship from Saudi Arabia.

Hanson plans to launch a full line of robots like Sophia, which they believe "could have immediate application as media characters in movies and TV shows, entertainment animatronics in museums and theme parks , as well as university research and medical training applications.”

3. Emotech

Industry: Robotics, Artificial Intelligence, 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 a constant Developing 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 artificial intelligence technology can understand users’ facial expressions, voice inflections and language patterns to proactively start conversations and make relevant suggestions. The small robotic desktop assistant can also move, orienting itself towards the user as it determines what to do next.

Olly’s capabilities far exceed those 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 recommend some of your favorite music to help relax.

Artificial Intelligence Applications in Healthcare

It turns out that artificial intelligence is changing the rules of the game in the medical industry, from robot-assisted surgeries to protecting private records Protection from cybercrime, AI improves nearly every aspect of the industry.

Health care 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 allowing nurses to save 20% of their time; workflow assistants help doctors free up 17% of their time; pharmaceutical company study Life-saving medicines are available in far less time and at a much lower cost than traditional ones; artificial intelligence is even being used to help underdeveloped countries achieve healthcare.

Here are a few examples of how artificial intelligence is streamlining processes and opening up avenues for innovation in the healthcare industry.

4. Covera Health

Industry: Diagnostics

Location: New York

How to use artificial intelligence:

CoveraHealth is leveraging collaborative data sharing and applied clinical analytics to reduce the number of misdiagnosed patients globally. The company's proprietary technology utilizes 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 ripple effect of incorrect care and saving the healthcare industry hundreds of billions of dollars.

5. Well

Industry: Personalized Health Guidance

Location: Chapel Hill, North Carolina

How to use artificial intelligence:

Well empowers 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 artificial intelligence-driven “health engine” that helps each user with personalized health guidance. Well guides people on the right health journey based on their pre-existing illnesses, ongoing health issues and gaps in general health knowledge. The health engine combines personal and external health data to provide informed recommendations based on other users’ experiences, while also providing points redeemable in the store for completing challenges and supporting the community. Assist users with screenings and questionnaires with prescription support, vaccination recommendations, recommended doctor visits and situation-specific guidance.

6. Path AI

Industry: Health Diagnosis, Machine Learning

Location: Boston

HowtoUseArtificial 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 diagnostic accuracy but also to improve treatment. PathAI's technology can also identify the best clinical trial participants.

PathAI has partnered with the Bill & Melinda Gates Foundation and Philips to develop a number of prognostic testing support tools and has plans for sustainable use of its advanced diagnostic services.

7. Pager

Industry: Medical, mobile application

Location: New York

How Using Artificial Intelligence:

Pager uses artificial intelligence to help patients suffering from minor pain and illnesses.

The company deploys machine learning to analyze clinical and claims data to identify 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 with a nurse via text message, chat with a doctor via video, and get prescriptions filled as needed, 24/7.

8. Atomwise

Industry: Machine Learning, Healthcare

Location: San Francisco

How to use artificial intelligence:

Atomwise is using artificial intelligence and deep learning to advance drug discovery.

Using technology based on convolutional neural networks, 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 improves hit rates by 10,000 times, screens 10 to 20 million compounds per day, and identifies patients' compounds for clinical trials feature. With the ability to analyze billions of compounds and identify areas for drug discovery, this technology is rapidly accelerating the work of chemists.

Atomwise is being used to solve some of today's most pressing medical problems, including Ebola and multiple sclerosis.

9. Massachusetts General Hospital

Industry: Hospital, Medical Research

Location: Boston

HowtoUseArtificial Intelligence:

Massachusetts General Hospital, one of the oldest hospitals in the world, has partnered with computing company NVIDIA to implement artificial intelligence-powered machines for disease detection, diagnosis, treatment and management processes.

These projects are currently training on more than 10 billion radiology and pathology medical images to facilitate faster testing and diagnostic capabilities.

The hospital recently completed a pilot system that uses artificial intelligence to quickly pre-screen patients with pneumothorax, commonly known as lung failure. The results were promising, so plans were made to implement the technology in emergency rooms.

Artificial Intelligence Applications Self-Driving Cars

Self-driving cars are the ultimate expression of the future. Autonomous driving technology, once considered science fiction, is slowly moving toward driverless reality. In fact, it is expected that by 2040, more than 33 million autonomous vehicles will be on the road. We can thank artificial intelligence for allowing us to see a truly futuristic technological breakthrough.

Artificial intelligence is driving the future of the autonomous vehicle industry. The cars are loaded with sensors that constantly record everything happening 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 and act on the data—all in the blink of an eye. Finish. We may still have a long way to go before we are fully capable of autonomous driving, but these companies are paving the way for a self-driving future.

10.Motional

Industry: autonomous driving, shared rides

Location: Santa Monica, California

How to use artificial intelligence:

Motional is leveraging advanced technology combined with artificial intelligence and machine learning to make self-driving cars safer, more reliable and more accessible .

The company, a joint venture between automotive technology companies Apertiv and Hyundai Motor Group, combines expertise in functional and forward-looking technologies to develop autonomous driving for now, not the future. technology.

Since 2016, Motional’s combination of short- and long-range LiDAR sensors, radar, strategic camera placement and patented technology has delivered more than 100,000 self-driving rides while maintaining Zero incident record. The company has begun working with major ride-sharing organizations such as Lyft, Via, and Cox Automotive to bring its technology to greater scale, with launches as early as 2021.

11. Cruise

Industry: autonomous driving, automobile manufacturing, artificial intelligence, data science

Location: San Francisco

How to use artificial intelligence:

Cruise is at the forefront of autonomous vehicles. The company's self-driving cars are the first on the road in the world, using artificial intelligence to lead the way. Self-driving cars collect petabytes of information every day. Artificial intelligence uses this massive data set to continuously learn the best safety measures, driving techniques, the most efficient routes, and more to ultimately keep cyclists safe.

Cruise is currently using artificial intelligence to power its self-driving cars, as well as their "CruiseOrigin" - a self-driving electric shared car. This sci-fi-looking car has driven more than 1 million miles in San Francisco alone without a single minor accident.

12. Waymo

Industry: autonomous driving, logistics, ride-sharing

Location: Mountain View, California

How to use artificial intelligence:

Waymo is Google’s self-driving car project. The company produces a wide variety of self-driving vehicles designed to meet the needs of drivers across the country, including individuals, rideshare 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 an advanced set of sensors and uses artificial intelligence to decipher what happens next. Thanks to artificial intelligence, Waymo cars can analyze situations and make safe predictions about the best next move, without humans having to interact with the steering wheel.

WaymoOne is the company's ride-hailing service currently used in the Phoenix area to pick up and drop off passengers and get them to their destinations — all autonomously, of course. At the same time, WaymoVia focuses on long-distance logistics and last-mile delivery of 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 world’s most advanced lidar-based automotive vision products. The company's sensors use fiber lasers to give self-driving cars' AI systems deep insights into the world around them. The technology allows AI-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 optimal actions within a safe timeframe.

Artificial Intelligence Applied Finance

Artificial intelligence 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 smart machines excel.

As the industry takes note of the efficiency and accuracy of artificial intelligence, it is rapidly applying automation, chatbots, adaptive intelligence, algorithmic trading and machine learning to financial processes.

One of the biggest financial trends of 2018 is robo-advisors, automated portfolio managers.

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 firms and clients time and money, but it's also generating some extraordinary returns.

Here are a few examples of how artificial intelligence is changing the financial industry.

14. Betterment

Industry: FinTech, Impact Investing

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 their financial plans.

Betterment’s robo-advisors use algorithms to automate tax loss harvesting, trading, trading and portfolio management, all tasks that historically required significant human effort and expertise.

Betterment manages $10 billion worth of assets and served 250,000 clients as of last year.

15. Alpha Sense

Industry: Financial Technology, Search Engine

Location: New York

How to use artificial intelligence:

AlphaSense created an AI-driven financial search engine to help investment firms gain an information advantage.

The program uses a combination of language search and natural language processing to 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 significant amount 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 Fund, Artificial Intelligence, Blockchain

Location: San Francisco

How to use artificial intelligence:

Numerai is an AI-powered hedge fund using crowdsourced machine learning from thousands of data scientists around the world.

The company releases 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 appear at the top of the leaderboard and receive 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 how it synthesizes all the different approaches into a "meta-model."

Diversity of models within a “meta-model” creates portfolio diversity, reduces risk, and generates higher returns. In short, the more algorithms at work, the better.

Industry impact: The company keeps the fund’s makeup, clients and performance top secret, but more than 35,000 data scientists contribute to its platform and have paid value Approximately $15 million in cryptocurrency.

Artificial Intelligence Application in Tourism and Transportation

Artificial intelligence is becoming a major trend in the tourism and transportation industries. From planning trips to suggesting the most efficient route home from get off work, artificial intelligence is making travel easier.

Travel companies, in particular, are taking advantage of the ubiquity of smartphones. More than 70% of users said they book trips, check travel tips, and research local landmarks and restaurants through their mobile phones. One-third said they have used a virtual travel assistant to plan an upcoming trip.

AI-powered chatbots are rapidly transforming the travel industry by enabling human-like interactions with customers for faster response times, better booking prices, and even travel recommendations .

For example, telling a travel chatbot you want to go to Paris might produce a natural language response that suggests flights, hotels, and activities in the City of Lights based on user preferences culled from the conversation.

The following are some examples of artificial intelligence applications in the tourism and transportation industries.

17. Hopper

Industry: Travel, Mobile App

Location: Boston, Montreal

How to use artificial intelligence:

Hopper uses artificial intelligence to predict when users can book the lowest prices for flights, hotels, cars and vacation home rentals. The company's artificial intelligence scans hundreds of bookings and provides them with the latest prices. But there's a lot more to this artificial intelligence.

Hopper will also use historical flight and hotel data to recommend to users whether the booking has reached the lowest price, or whether the user should hold out 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 on Google Maps makes our commutes more easy.

With AI 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 artificial intelligence in map 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 features for drivers.

19. Hipmunk

Industry: Mobile App, Travel

Location: San Francisco

How to use artificial intelligence:

Hipmunk from Concur offers booking prices for flights, hotels, excursions and even vacation rentals through Airbnb. "HelloHipmunk", launched by the company 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 themes and interests. Travelers can also copy "HelloHipmunk" in an email discussing potential travel plans, and the bot will provide travel suggestions. Additionally, the virtual assistant scans your calendar for upcoming events and starts organizing future trips.

"HelloHipmunk" is 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 Application 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 with personalizing and cultivating valuable experiences for users.

Artificial intelligence could make or break the future of this industry.

With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict cultural changes, artificial intelligence is critical to an industry with billions of users and annual revenue of approximately $45 billion. Said it was very valuable.

Additionally, in an industry facing pressure to police fake news, hate speech, and other bad actors in real time, advanced machine learning may prove crucial.

Here are some examples of how some of the biggest names in gaming are using artificial intelligence.

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, artificial intelligence is deeply Deeply embedded in Facebook's platform.

The company’s artificial intelligence team recently trained an image recognition model with 85% accuracy using billions of tagged public 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 a doubling down on artificial intelligence research, Facebook is relying on artificial intelligence to help regulate the world's largest media platform.

21. Twitter

Industry: Social Media

Location: San Francisco

How to use artificial intelligence:

The reason why you can see tweets on Twitter is because of artificial intelligence. The social media giant's algorithmic suggestions suggest followings, tweets and news based on a user's personal preferences.

Additionally, Twitter uses artificial intelligence to monitor and classify video feeds based on topics. 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 has recently been used to identify hate speech and terrorist language in tweets. In the first half of 2017, the company discovered and banned 300,000 terrorist-related accounts, 95% of which were discovered by non-human AI machines.

22. Slack

Industry: Software, communication, collaboration tools

Location: San Francisco

How to use artificial intelligence:

Slack’s artificial intelligence uses a data structure called a “work graph” to collect information about how each company and its employees use tools and interact with each other. interactive information.

The data in the Work 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" to move more relevant information to the top.

In addition to “Highlights,” Slack’s search also uses artificial intelligence to help users locate knowledge experts and channels through which they can be contacted by analyzing who is talking about what and where.

Artificial Intelligence Application E-Commerce

Have you ever browsed a website, only to find that a picture of a shirt you just saw on another website pops up again? This is Because of artificial intelligence.

Applying machine learning to the e-commerce process 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 collect data to create a more customer-centric e-commerce experience.

Here’s how some major e-commerce leaders are using artificial intelligence to increase sales and loyalty.

23. Live Person

Industry: Artificial Intelligence, Natural Language Processing, Software

Where: Fully Remote

How to use AI:

Live Person is revolutionizing the world of sales and marketing with conversational AI. Businesses can use LivePerson's technology to create conversational ads that engage consumers on company websites, social media and other third-party channels. Consumers can now access personalized interactions through their preferred method rather than navigating to a login page.

LivePerson’s conversational AI also gives customers the option to message instead of calling, reducing call volume, wait times and costs. As this AI technology interacts with consumers and customers at relevant moments, businesses can increase conversion rates and build relationships through superior service.

24. Amazon

##Industry: e-commerce, media, food, etc.

Location: Seattle

How to use artificial intelligence:

Amazon is the king of e-commerce artificial intelligence. Whether it's the products the company recommends to buy, the warehouse robots responsible for grabbing, sorting and shipping products, or the web services that power its website, Amazon uses artificial intelligence at nearly every step of its process.

In 2014, the company launched the artificial intelligence voice assistant Alexa. Alexa ushered in a wave of powerful, conversation-driven virtual assistants inspired by the computers in Star Trek.

Amazon has actually rebuilt its business on artificial intelligence and launched a large number of artificial intelligence projects. Simply put, if you have done anything on Amazon in the past five years, an algorithm can find it.

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 websites, uses natural language processing to improve search relevancy and product awareness for businesses .

The combination of human-like deep learning and an understanding of the retail industry helps connect customers with what they really need.

Twiggle claims that a website with 2 million monthly visitors could lose up to 266,600 customers due to poor search. For customers using its search, the company touts a 9% increase in "add to cart" times and a 12% increase in click-through rates.

AI APPLICATIONS MARKETING

Marketers are allocating an increasing portion of their budgets to the implementation of artificial intelligence as machine learning shows promise in successfully managing marketing campaigns Ten uses.

Another reason for increased budgets? Artificial intelligence-driven tools are now widely available in small and medium-sized businesses.

Artificial intelligence is helping marketers build in-depth customer insights reports, drive the creation of relevant content, and book more impactful business meetings—all without extensive 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 and help customers solve product issues , and improve the efficiency of the sales cycle.

This technology is particularly good at automating traditionally time-consuming marketing tasks. For example, once a customer logs into a website using Drift, a chatbot pops up to ask a question. If they are a potential customer, they will automatically be placed in the campaign. Additionally, the company's "Drift Assistant" can automatically respond to emails, source leads and update contact information.

Companies like Toast and Zenefits are using Drift to complete high-quality sales tasks in minutes instead of days. Currently, more than 100,000 companies use Drift.

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