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Learn about the most powerful technology companies in 2022

 Examples of artificial intelligence (AI) in pop culture usually include a group of intelligent robots bent on overthrowing the human race, or at least a fancy theme park. Conscious machines with artificial general intelligence don't yet exist, and likely won't be any time soon, so we're safe...for now.


This does not highlight 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 functions. In addition, tech billionaire Elon Musk, a longtime advocate of AI regulation, has described AI as more dangerous than nuclear weapons. Despite these legitimate concerns, we're a long way from living in Westworld.


Examples of artificial intelligence :


  • Robotics manufacturing.
  • Self-driving cars.
  • Smart assistants.
  • Proactive healthcare management.
  • Disease mapping.
  • Automated financial investing.
  • Virtual travel booking agent.
  • Social media monitoring.
  • Team chat tool.
  • Conversational Marketing Robot.
  • Natural Language Processing (NLP) tools.


Whether we realize it or not, AI is all around us and plays an active role in our daily lives. Every time we open a newsfeed on Facebook, do a Google search, get a product recommendation from Amazon or book a flight online, artificial intelligence lurks in the background.


Dive into these 28 examples of artificial intelligence that show the breadth of applications of the technology in many industries.



Robots for Artificial Intelligence Applications :



  • Robotics

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Industry leaders still cannot agree on what the term “robot” embodies. Robotics understand that robots are programmable machines that perform tasks, but no one can say precisely where that definition ends up.


Today's AI-powered robots, or at least those machines that are considered so, do not have natural general intelligence, but they are capable of problem-solving and "thinking" with limited ability.


From working on Tesla's assembly lines to teaching Japanese students English, examples of artificial intelligence abound in robotics.




  • iRobot

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Industry: Consumer electronics, software, hardware.

Location: Bedford, Mass.

How AI is being used: Roomba makers, iRobot, are back with a new, smarter robotic vacuum cleaner.

The Roomba 980 uses AI to scan room size, identify obstructions, and remember the most effective ways to clean. Self-deploying Roomba can decide how much to vacuum based on room size, and it doesn't need human help to clean floors.


The company completed its first year as a fully consumer-focused business in 2017, generating $883.9 million in revenue, and shipping more than 10 million Roombas since 2002.


  • Hanson Robotics

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Industry: Robotics and Artificial Intelligence.

Location: Hong Kong.

How to use artificial intelligence: Hanson Robotics builds human-like robots with artificial intelligence for both commercial and consumer markets.


Sophia Hanson (pictured above) is an incredibly advanced social learning robot. Through artificial intelligence, Sophia can communicate efficiently with natural language and use facial expressions to convey human-like feelings.


Sophia has become a media celebrity over the past few years and has appeared on several talk shows, including a memorable appearance with thee Jimmy Fallon on The Tonight Show. The robot has even accepted Saudi citizenship.


Hanson plans to introduce a whole line of robots like Sophia, which they believe "has immediate applications as media personalities in films and television shows, kinesiology and entertainment in museums and amusement parks, and for university research and medical training applications."


  • Emotech

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Industry: robotics, artificial intelligence, hardware.

Location: London.

How to use AI: Emotech is the creator of Olly, a voice-controlled AI assistant similar to Amazon Alexa or Google Home, but with one distinct difference - Olly has a sophisticated personality.


Oli's personality comes from a combination of machine learning algorithms that teach the robot to gradually become like its owner.


Emotech's AI-powered technology can understand a user's facial expressions, voice inflections, and verbal patterns to proactively initiate conversations and provide relevant suggestions. The small robotic assistant on top of the table is also mobile, orienting itself towards the user when deciding what to do next.


Olly's capabilities go beyond anything today's voice assistants can do. For example, if Olly sees you resting your head, he might ask you if you had a long day and then suggest some of your favorite music help you relax. See for yourself.


AI applications for healthcare


Artificial intelligence has proven to be a game-changer in healthcare, improving nearly every aspect of the industry from robot-assisted surgeries to protecting private records against cybercriminals.


Healthcare has always been plagued by skyrocketing medical costs and inefficient operations. Artificial intelligence is giving the malicious industry a much-needed change.


AI-powered virtual assistants reduce unnecessary visits to hospitals and return nurses 20% of their time to the operation; Workflow assistants help clinicians free 17% of their schedules; Pharmaceutical companies look for life-saving drugs in a fraction of the time and usually cost, And even AI is used to help provide health care to developing countries.


Here are some examples of how AI is simplifying processes and opening new and innovative ways for the healthcare industry.


  • CoverHealth

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Industry: Diagnostics

Location: New York, New York

How AI has been used: Covera Health uses collaborative data sharing and applied clinical analysis to reduce the number of misdiagnosed patients worldwide. The company's proprietary technology uses a framework that combines advanced data science and artificial intelligence to triage existing diagnoses to provide practitioners with more accurate symptom data when making a decision that will have a significant impact on a patient's life — reducing the cascading effects of misguided care and saving hundreds of billions of dollars for the healthcare industry.


  • Well

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Industry: customized health guidelines.

Location: Chapel Hill, North Carolina.

How AI is used: Well, it allows people to live better lives and quickly receive the medical guidance they need, allowing them to make informed decisions about the care they receive.


Driven by an AI proprietary “Health Engine” that helps personalize health guidelines for each user, Well guides people through the right health journey based on their pre-existing conditions, ongoing health concerns, and gaps in general health knowledge. 

The Health Engine combines personal and external health data to provide informed advice based on other user experiences while providing points that can be redeemed in stores for completing challenges and supporting communities, helping users with everything from checkups and surveys through support for prescriptions, vaccination advice, recommended physician visits and case guidance specific.



  • PathAI

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Industry: health diagnostics, machine learning.

Location: Boston.

How AI is used: PathAI creates AI-powered technology for pathologists.


The company's machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The goal is not only to improve the accuracy of diagnosis but also treatment. PathAI technology can also identify optimal participants in clinical trials.


PathAI has worked with the Bill & Melinda Gates Foundation and Philips to develop high-volume prognostic testing tools and support plans for sustainable access to advanced diagnostic services.


  • Pager

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Industry: healthcare, mobile application

Location: New York City

How AI is used: The pager uses AI to help patients with minor aches, pains, and illnesses.


The company deploys machine learning to analyze clinical data and claims to discover gaps in a patient's healthcare treatment. In addition to providing healthcare recommendations, this concierge-like service helps patients make appointments and make payments.


Pager allows any user to chat with a nurse via text messages 24/7, talk to a doctor via video chat, and get prescriptions as needed.


  • Atomwise


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Industry: machine learning and healthcare

Location: San Francisco

How to use AI: Atomwise uses AI and deep learning to facilitate drug discovery.


Using technology based on convolutional neural networks, Atomwise algorithms "can extract insights from millions of experimental affinity metrics and thousands of protein structures to predict the binding of small molecules to proteins."


The company's AI improved infection rates 10,000 times and included 10 to 20 million compounds per day while characterizing patients for clinical trials. 

With the ability to analyze billions of compounds and identify areas of drug discovery, this technology is speeding up the work of chemists.


Atomwise is being used to treat some of the most pressing medical problems at the moment, including Ebola and multiple sclerosis.


  • Massachusetts General Hospital

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Industry: Hospital, 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 artificial intelligence-powered machines for disease detection, diagnosis, treatment, and management processes.


The software is currently training over 10 billion medical images in radiology and pathology to facilitate faster testing and diagnosis.


The hospital recently completed a pilot system using artificial intelligence to rapidly screen patients for pneumothorax, more commonly known as a collapsed lung. The results were promising enough that there are plans to apply the technology in the ER.



self-driving cars

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Self-driving cars are the ultimate sign that the future is upon us. Once considered science fiction, self-driving technology has been slowly making its way into the reality of self-driving. More than 33 million self-driving vehicles are expected to be on the road by 2040. We can thank AI for the advances we see in truly futuristic technology.



Artificial intelligence is driving the future of literally self-driving cars. These cars are packed with sensors that constantly record everything going on around the car and use artificial intelligence to make the right adjustments. 

These sensors capture thousands of data points every millisecond (such as vehicle speed, road conditions, pedestrian locations, other traffic, etc.), and use artificial intelligence to help interpret the data and act accordingly — all in the blink of an eye. 

We may still have a long way to go until we can drive fully, but these companies below are paving the way toward an independent driving future.


  • Motional

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Industry: Self-driving, ride-sharing

Location: Santa Monica, California

How AI is used: Motional uses advanced technology created with AI and machine learning to make self-driving vehicles safer, more reliable, and more accessible.


The company originated from a joint venture between automotive technology company Apertiv and Hyundai Motor Group, who combined their expertise in functional technology and forward-thinking to make driverless technology better adaptable for the present rather than the future.


By combining short- and long-range LiDAR sensors, radar, strategic camera placement, and proprietary technology in development since 2016, Motional has delivered more than 100,000 self-driving flights while maintaining a zero-accident record. 

The company has begun partnering with major rideshare organizations like Lyft, Via, and Cox Automotive to bring its technology to a greater scale with rollouts beginning as early as 2021.



  • Cruise

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Industry: Autonomous driving, car manufacturing, artificial intelligence, data science.

Location: San Francisco.

How artificial intelligence is used: Cruise is a newer model of self-driving vehicles. The company's self-driving vehicles are among the world's first to take to the road, using artificial intelligence to drive the road. Self-driving cars collect petabytes of information every day. 

Artificial intelligence uses this huge data set to constantly learn about the best safety measures, driving techniques, the most efficient routes, etc. to give the passenger a guarantee that they are safe.


Cruise is currently using artificial intelligence to power its self-driving cars, as well as the "Cruise Origin" - a self-driving electric shared vehicle. The fantasy-looking car has driven over a million miles in San Francisco alone without ever having a single flap.


  • Waymo

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Industry: Autonomous driving, logistics, ride-sharing.

Location: Mountain View, California.

How Artificial Intelligence is Used: Waymo is Google's self-driving car project. The company builds a variety of self-driving vehicles designed to meet the needs of drivers across the country, including individuals, tour drivers, and large trucking companies.


Waymo's cars have already driven millions of miles across more than 10 states, using artificial intelligence along the way to collect and analyze data. 

Using an advanced set of sensors, each Waymo vehicle collects data and uses artificial intelligence to decide what will happen next. 

Thanks to artificial intelligence, Waymo's vehicles can analyze situations and make safe predictions for optimal next movements without a human ever having to interact with a steering wheel.




Waymo One, the company's passenger transportation service in the Phoenix area, is currently used to pick up passengers and take them to their destinations - all independently of course. 

Meanwhile, Waymo Via is focusing on autonomous vehicles for long-haul logistics and last-mile delivery.


  • Luminar

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Industry: lidar autonomous vehicles.

Location: Palo Alto, California.

How AI has used: Luminar Technologies produces one of the world's most advanced LIDAR-based vehicle vision products. The company's sensors use fiber lasers that give the self-driving car's AI system an in-depth look at the world around them. 

This technology allows AI-based software systems to see people, objects, events, road conditions, etc. from a distance of more than 250 meters, so the autonomous vehicle can have plenty of time to analyze and respond to any given situation. 

The innovative technology can measure the velocities of different objects, so assisted vehicles can easily decode their optimal movements in a safe period.



Artificial Intelligence Financing


Artificial intelligence and the finance 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 into account the efficiency and accuracy of artificial intelligence, it is rapidly implementing automation, chatbots, adaptive intelligence, algorithmic trading, and machine learning in financial operations.


One of the biggest financial trends of 2018 is the automated advisor, which is an automated portfolio manager.


These robotic advisors use artificial intelligence and algorithms to scan data in the markets and predict the best stock or portfolio based on preferences. 

Wealth management companies are turning to Robo-advisors, not only because they save the company and client time and money, but they also produce some extraordinary returns.


Here are some examples of how AI is changing the financial industry.



  • Betterment

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Industry: Fintech, Impact Investing.

Location: New York City.

How AI is used: Betterment is an automated financial investment platform that pioneers Robo-advisor technology that uses AI to identify an investor and create a personal profile based on their financial plans.


Betterment's bot advisors use algorithms to automate tax-loss harvesting, trading, transaction, and portfolio management, all tasks that used to require a lot of experience and human knowledge.


Betterment has $10 billion in assets under management, and as of last year, it was serving 250,000 customers.


  • AlphaSense

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Industry: Fintech, search engine.

Location: New York City.

How to use AI: AlphaSense has created an AI-powered financial search engine to help investment companies gain an informational edge.


Using a combination of linguistic research and natural language processing, the software can analyze key data points across 35,000 financial institutions. The system's ability to scan millions of data points and generate actionable reports based on relevant financial data saves analysts countless hours of work.


Industry Impact: According to the company's website, more than 800 financial companies use AlphaSense, including some Fortune 500 companies.


  • Numerai

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Industry: Hedge Fund, Artificial Intelligence, Blockchain.

Location: San Francisco.

How AI is used: Numerai is an AI-backed hedge fund that uses crowd-sourced machine learning from thousands of data scientists around the world.


The company releases summarized financial statements to its community of data scientists, all of whom use various machine learning models to forecast the stock market.


Forms are pitted against each other in a weekly cycle as creators compete for Numeraire (NMR), the company's cryptocurrency. The most accurate predictions reach the top of the leaderboard and are awarded more tokens.


But Numerai isn't about rewarding winners and losers. The competition is just a way to collect more models. The company's real achievement is how it synthesizes all the changing methods into the Meta Model.


Diversity of models within the “definition model” creates portfolio diversification, reduces risk, and generates higher returns. Simply put, the more algorithms at work, the better.


Industry Impact The company is highly confidential about the fund's composition, clients, and performance, but it has more than 35,000 data scientists who contribute to its platform and have paid out nearly $15 million in its cryptocurrency. 



Artificial intelligence applications for travel and transportation



Artificial intelligence has become a huge trend in the travel and transportation industries. From making travel arrangements to suggesting the most efficient route home after work, AI is making navigation easier.


Travel companies are particularly benefiting from the ubiquitous use of smartphones. More than 70% of users claim to book tours on their phones, review travel tips, and research local attractions and restaurants. One in three people says they have used a virtual travel assistant to plan their next trip.


AI-powered chatbots are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking rates, and even travel recommendations.


For example, telling a travel chatbot that you want to go to Paris might trigger a natural language response that suggests flights, hotels, and things to do in the City of Light based on user preferences picked up from the conversation.


Here are some examples of how AI is being used in the travel and transportation industries.


  • Hopper

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Industry: travel, mobile apps

Location: Boston, Montreal

How to use AI: Hopper uses AI to predict when you should be able to book the lowest prices for flights, hotels, car rentals, and vacation homes. The company's artificial intelligence scans hundreds of reservations and will give them the latest prices. But, there is a lot of artificial intelligence.


Using historical flight and hotel data, Hopper will also make recommendations to the user as to whether the reservation has reached its lowest price point or if the user should wait a little longer for the price to drop. 

So far, Hopper's AI-based algorithm has saved users more than $2.2 billion on flights alone.


  • Google Maps/ Google

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Industry: search engine, artificial intelligence, information technology, video streaming.

Location: Mountain View, California.

How to use AI: Google uses AI in several areas, but the specific application of technology in Google Maps makes our navigation a little easier.


Using AI-powered maps, the search giant's technology scans route information and uses algorithms to determine the optimal route, whether it's on foot, car, bike, bus, or train.


Shortly, Google plans to continue developing artificial intelligence in the Maps application through the application of its voice assistant and the creation of augmented reality maps in real-time.


 Aside from helping millions of users find their way every day, the popular ride-sharing service Lyft has built its gation features for drivers using Google Maps.


  • Hipmunk

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Industry: mobile apps, travel.

Place: San Francisco

How to use AI: Concur's Hipmunk provides prices for booking flights, hotels, excursions, and even vacation rentals through Airbnb. The company's "Hello Hipmunk" program, launched in 2015, is an AI-powered travel assistant.


By chatting with the bot on Facebook, Slack, or Skype, users can book flights and find vacation ideas based on topics and interests. Travelers can also type "Hello Hipmunk" into an email to discuss potential travel plans and the bot will provide travel suggestions. In addition, the virtual assistant will check your calendar for upcoming events and start organizing a future trip.


Hello Hip,munkMunk 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 and is expected to reach $15.8 billion in total revenue by 2021.



Social media



With over 2.77 billion active profiles across platforms like Twitter, Facebook, and Snapchat, social media is fighting a constant battle to customize and polish worthwhile experiences for users.



Artificial intelligence may make or break the future of the industry.


With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict changes in culture, AI is highly valuable to an industry with billions of users and nearly $45 billion in annual revenue.



Additionally, advanced machine learning is likely to be important in an industry under pressure to monitor fake news, hate speech, and other bad actors in real-time.


Here are some examples of how some of the biggest names in the game are using AI.



  • Facebook "Meta"

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Industry: social media.

Location: Menlo Park, California.

How to use AI: Whether it's Messenger chatbots algorithmic news feeds, photo tagging suggestions, or ad targeting, AI is deeply integrated into the Facebook platform.



The company's AI team recently trained an image recognition model with 85% accuracy using billions of public Instagram photos tagged with hashtags. This method is a breakthroughmputer vision modeling.



Facebook is already using a combination of artificial intelligence and human moderation to combat spam and abuse. With breakthroughs in image recognition and a doubling of AI research, Facebook is relying on AI to help it monitor the world's largest media platform. 


  • Twitter

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Industry: social media.

Location: San Francisco.

How to use AI: You can thank AI for the tweets you see on Twitter. The social media giant's algorithms suggest people follow, tweet, and news stories based on a user's individual preferences.


In addition, Twitter uses artificial intelligence to monitor and categorize video feeds based on the topic. The company's photo cropping tool also uses artificial intelligence to decide how to crop photos to focus on the most interesting part.


Twitter's artificial intelligence has recently been used to work to identify hate speech and terrorist language in tweets. In the first half of 2017, the company detected and banned 300,000 accounts linked to terrorism, 95% of which were found by non-human intelligent devices.


  • Slack

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Industry: software, messaging, and collaboration tool.

Location: San Francisco.

How to use AI: Slack's AI uses a data structure called an "action graph" to gather information about how each company and its employees use the tool and interact with each other.


The data from the Action Graph can then be used to train AI models that make Slack more user-friendly. For example, the company estimates that the average user stumbles on more than 70 messages a day. Slack uses machine learning and natural language processing in a feature called "Highlights" to move the most relevant messages to the top.


In addition to "Highlights," Slack's search uses artificial intelligence to help users identify knowledge experts and accessible channels based on an analysis of who's talking about what and where.




Artificial intelligence applications in e-commerce


  • Electronic trade

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Have you ever scrolled through a website only to find a picture of the exact shirt you were just looking for on another site that pops up again? You can thank AI for that.


Applying machine learning to e-commerce operations allows companies to build personal relationships with customers. AI-based algorithms personalize user experience, increase sales, and build loyal and lasting relationships.


Companies are using AI to deploy chatbots, forecast purchases, and collect data to create a more customer-centric e-commerce experience. Here's how some of the major e-commerce leaders are applying AI to boost sales and loyalty.


  • LivePerson

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Industry: artificial intelligence, natural language processing, software

Location: quite far

How AI is used: LivePerson is revolutionizing sales and marketing with conversational AI. Companies can create dialog ads using LivePerson technology, and engage consumers on company websites, social media, and other third-party channels. Instead of going to landing pages, consumers can now access personal interactions through their preferred method.


LivePerson's conversational AI also gives customers the option to send messages instead of calling, reducing call volume, wait times, and costs. As this AI technology interacts with consumers and customers during relevant moments, companies can boost conversions and build relationships with exceptional service.



  • Amazon

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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 company recommendations on what products to buy, warehouse bots that pick up, grade, and ship products, or web services that power the website itself, Amazon uses AI in nearly every step of its process.


In 2014, the company introduced the AI-powered Alexa voice assistant. Inspired by the computers on Star Trek, Alexa heralded a wave of powerful, conversational-driven virtual assistants.


Amazon has practically rebuilt its AI business, with a large number of AI projects. Simply put, if you've done anything at all at Amazon in the past five years, an algorithm has helped you do it.



Marketing of artificial intelligence applications



Marketers are allocating more and more of their budgets to implementing AI because machine learning has dozens of uses when it comes to successfully managing marketing campaigns.


Another reason to increase the budget? AI-powered tools are now widely available to small and medium-sized businesses.


AI helps marketers build in-depth reports on customer insights, enhance the creation of relevant content, and book more impactful business meetings — all without much human impact.


Here is a look at some examples of artificial intelligence in marketing.


Marketers are allocating more and more of their budgets to implementing AI because machine learning has dozens of uses when it comes to successfully managing marketing campaigns.


Another reason to increase the budget? AI-powered tools are now widely available to small and medium-sized businesses.


AI helps marketers build in-depth reports on customer insights, enhance the creation of relevant content, and book more impactful business meetings — all without much human impact.


Here is a look at some examples of artificial intelligence in marketing.


  • Grammarly

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Industry: software.

Location: San Francisco, California.

How AI is used: Grammarly is like an editor reviewing your writing in real-time.


Well, Grammarly may not be able to do all that an editor can do but it can help make everyone's writing clearer and healthier. An AI-powered writing assistant combines data science, machine learning, authentication, and various other forms of technology to make grammar as comprehensive as possible when helping professional writers and non-native English speakers alike. Grammarly is available as a standalone website and as an extension for email platforms, word processors, social media platforms, and more.


  • Drift

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Industry: Marketing Automation.

Location: Boston.

How to use AI: Drift uses chatbots, machine learning, and natural language processing to help companies book more meetings, help customers ask questions about the product, and make the sales cycle more efficient.


The technology is particularly good at automating traditional, time-consuming marketing tasks. For example, once a customer enters a website that uses Drift, a chatbot will pop up, ask questions and automatically put them into a campaign if they are a potential customer. In addition, the company's "Drift Assistant" automates email responses, directs leads, and updates contact information. 


Companies like Toast and Zenefits use Drift to generate quality sales in minutes instead of days. Drift is currently used by more than 100,000 companies.




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