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15 inspiring artificial intelligence success stories from brands 0

Posted on May 19, 2019 by Rob Petersen
artificial intelligence success stories

Artificial intelligence success stories show how purposeful brands can be in pleasing their customers.

Who’s doing it well? Here are 15 inspiring artificial intelligence brand success stories.

  1. AMAZON: Has opened an AI-powered convenience store in Seattle. The premise of Amazon Go is simple: to eliminate everyone’s least-favorite part of the shopping experience, checking out. With ceiling-mounted sensors and cameras backed by artificial intelligence, Amazon is able to track every interaction a customer has with a product. It knows exactly when a product is picked up or put back. Go works like a physical manifestation of Amazon’s 1-Click checkout, where you “click” by taking an item off a shelf. When a customer walks out of the store, they are charged for their haul via the Amazon Go app.
  2. CALLAWAY: Designs the Epic Flash series driver in this one of our artificial intelligence success stories. It uses AI to make drives longer and increase ball speed. According to the golf company, a new driver face can typically take eight to 10 iterations before landing on the best one. However, it stated that through machine learning it was able to analyze 10s of thousands of iterations to find what works best.
  3. DISNEY: Is using AI to organize product SKUs, is training artificial neural networks, computing systems modeled after animal brains, to mimic human brains and recognize what makes a story appealing. Using data from Q+A site Quora, Disney researchers used the site’s upvotes and downvotes to train the neural networks to determine what makes some stories more popular than others. At some point in the not-too-distant future, look out for a Mickey Mouse doll that can tell your kids a better bedtime story than you can.
  4. DRIFT: A company that finds quality leads for a product or service, 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 is particularly good at automating traditionally time-consuming marketing tasks. 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. Additionally, the company’s “Drift Assistant” automates email replies, routing leads and updating contact information.
  5. GENERAL MOTORS: Plans to invest $1 billion over the next five years in Argo AI, a startup formed in December that is focused on developing autonomous vehicle technology. GM, in this one of our artificial intelligence success stories, has an an agreement with New York State, GM will soon become the first company to test self-driving vehicles in New York City. Tests will take place in a geofenced section of lower Manhattan, following existing trials in Arizona, San Francisco, and GM’s home base Michigan.
  6. HANSON ROBOTICS: Is building humanoid robots with artificial intelligence for both the commercial and consumer markets. Hanson robot, Sophia, can efficiently communicate with natural language and use facial expressions to convey human-like emotions. Hanson plans to introduce an entire line of robots like Sophia, which they believe “have immediate applications as media personalities in movies and TV shows, entertainment animatronics in museums and theme parks, and for university research and medical training applications.”
  7. IROBOT: The Roomba 980 model vacuum cleaner uses artificial intelligence 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.The company completed its first year as a purely consumer-focused business in 2017, pulling in $883.9 million in revenue, and has shipped more than 10 million Roombas since 2002.
  8. KLM: Invests in what is commonly referred to as KLM`s BB. This is a short form of BlueBot. The aim was to help customers book a ticket, send confirmation, deliver flight updates and answer passenger questions. Without BlueBot, KLM would probably not be able to record more than 1.7 million messages sent by 500,000 passengers. Driving customers’ satisfaction starts with being available to answer queries.
  9. NETFLIX: Taps into massive pools of viewer preference data to build algorithms that recommend new viewing material in this one of our artificial intelligence success stories. These algorithms then leverage AI to learn what viewers enjoy most. And it appears that viewers are addicted to this data-driven offering: Netflix is adding around 12,000 subscribers in the US each day and over 56,000 subscribers per day in the rest of the world.
  10. NIKE: Launches a system that allows customers to design their own sneakers in store. Not only is this a great gimmick to drive sales, but it also collects a huge amount of useful data that machine learning algorithms can use to design future products and deliver personalized recommendations and marketing messages.
  11. PATHAI: 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. PathAI has worked with the Bill & Melinda Gates Foundation and Philips to develop high-volume prognostic test support tools and plans for sustainable access to their advanced diagnostic services.
  12. STARBUCKS: Is using its loyalty card and mobile app to collect and analyze customer data including purchases, where they are made, and at what time of day.The company uses predictive analytics to process this data in order to deliver personalized marketing messages to customers including recommendations when they’re approaching their local stores, and offers aimed at increasing their average spend. A virtual barista service on the app powered by AI also allows customers to place orders directly from their phone via voice command. As well as delivering a more personalized customer experience, Starbucks uses their data from 90 million transactions every week to inform business decisions such as where to open new stores, and which products they should offer.
  13. TOMMY HILFIGER: Has begun to add AI to its creative process. The brand recently announced a partnership with IBM and The Fashion Institute of Technology (FIT). As part of the “Reimagine Retail” project, FIT students were given access to IBM Research’s AI capabilities including computer vision, natural language understanding, and deep learning techniques specifically trained with fashion data. This information was filtered back to the student designer on the other end, who could then use it to make informed decisions around their design.
  14. TWIGGLE: An advanced search engine for e-commerce sites, uses natural language processing to boost search relevance and product awareness for businesses. The combination of human-like deep learning and an understanding for the retail industry helps connect customers to exactly what they need. Twiggle claims a site with two million visitors a month might lose as many as 266,600 customers from bad search. For customers that use its search, the company boasts a 9% increase in “add to cart” and a 12% increase in click-through rate.
  15. TWITTER: Uses AI to identify hate speech and terroristic language in tweets. In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95% of which were found by non-human, artificially intelligent machines.  

Do these artificial intelligence success stories show you are brands are using AI? Do they inspire your brand?

30 Artificial Intelligence facts separate hype vs reality 0

Posted on March 19, 2018 by Rob Petersen

Artificial Intelligence

Artificial Intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

The bulk of the AI development happening today by industry leaders falls uses human reasoning as a guide to provide better services or create better products rather trying to achieve a perfect replica of the human mind. Artificial Intelligence holds great promise for industry.

Where are we today with artificial interaction and where do experts say we will be in the next few years.

To bring clarity, here are 30 artificial intelligence facts that separate hype vs reality.

  1. 85% of all customer interactions won’t require human customer service reps by the end of this decade (Gartner).
  2. 80% of executives surveyed are “eyeing the peaks” and view AI as a strategic opportunity. (MIT Sloan Management Review)
  3. 80% of executives believe AI boosts productivity. (The Motley Fool)
  4. 72% of business leaders believe artificial intelligence is a “business advantage.” (PwC)
  5. 61% of those who have an innovation strategy said they are using AI to identify opportunities in data that would otherwise be missed. Only 22% without a strategy said the same. (Narrative Science)
  6.  61%, regardless of company size, pointed to machine learning and AI as their company’s most significant data initiative for next year. (MeMSQL)
  7. By 2020, 57% of business buyers will depend on companies to know what they need before they ask for anything. This means having solid prediction capabilities with your AI will be the key to keeping your customers. (Salesforce)
  8. By 2020, 57% of business buyers will depend on companies to know what they need before they ask for anything. This means having solid prediction capabilities with your AI will be the key to keeping your customers. (Salesforce)
  9.  When asked about expectations for marketing technology providers to have native AI capabilities, more than 50% of respondents said it was important or a must-have. (BrightEdge)
  10. 44% of executives believe artificial intelligence’s most important benefit is “automated communications that provide data that can be used to make decisions.” (Narrative Science)
  11. 41% of consumers believe AI will make their lives better. (Strategy Analytics)
  12. The impact of AI technologies on business is projected to increase labor productivity by up to 40% and enable people to make more efficient use of their time. (Accenture)
  13. By 2020, smart agents will manage 40% of mobile interactions. (Gartner)
  14. Could you lose your job to AI? According to PwC, maybe. By the 2030s, they predict that around 38% of all U.S. jobs could be replaced by AI and automation. (PwC)
  15.  While only 33% think they use AI-enabled technology, 77% actually use an AI-powered service or device. (Pega)
  16. 32% of executives say voice recognition is the most-widely used AI technology in their business. (Narrative Science)
  17.  When asked about the next big marketing trend, survey respondents identified consumer personalization (29%), AI (26%), and voice search (21.23%). These top three responses, which total 75% of all AI applications, demonstrate that AI is more pervasive and prominent than respondents realize. (BrightEdge)
  18. 20% of business content will be authored by machines by 2018 (Gartner).
  19. Artificial intelligence will replace 16% of American jobs by the end of the decade. (Forrester)
  20. 15% of Apple phone owners users use Siri’s voice recognition capabilities. (BGR)
  21. Only 15% of enterprises are using AI. But 31% said it is on the agenda for the next 12 months. (Adobe)
  22. The largest companies—those with at least 100,000 employees—are the most likely to have an AI strategy, but only half have one. (MIT Sloan Management Review)
  23. In the U.S., only 4.5% of self-reported data scientists or data researchers specifically work as machine learning engineers. (Kaggle)
  24. One AI specialist on staff, with salary and company stock, can fetch compensation of $300,000 to $500,000. (The New York Times)
  25. “Netflix saved $1 billion this year as a result of its machine learning algorithm which recommends personalized TV shows and movies to subscribers.” (StatWolf)
  26. Harvard University has received $28 million to build artificial intelligence as fast as the human brain. (Wired)
  27. Over 16.1 million Amazon Echos and 5.9 million Google Home devices have been sold, according to data collected in June 2017. That means 7% of the population aged 12+ owns an AI-based speaker device. (Edison Research, Voicebot.ai)
  28. By 2018, more than 3 million workers globally will be supervised by a so-called “robo-boss” (Gartner).
  29. By 2018, an estimated 2 million employees will be required to wear health and fitness tracking devices on the job (Gartner).
  30. Heliograf, The Washington Post’s AI writer, created approximately 850 stories in 2016 during the Rio Olympics and the 2016 presidential election. Humanity’s saving grace? Editing and analysis polishing came from human editors. (The Washington Post)

Do these artificial intelligence facts separate the hype vs reality to you? Did you learn something new? Does your organization need help understanding AI?

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