7 Real Life Examples Of AI (and why we should take notice)

7 Real Life Examples Of AI (and why we should take notice)
Reading Time: 6 minutes

Artificial intelligence is everywhere right now. With so many developments in the tech and computer science world, we thought it would be good to round up seven real-life examples of AI and why you might want to take notice!

Download our infographic to to learn more about the future of artificial intelligence.


Developed by Amazon, Alexa is a Virtual Private Assistant (VPA) released in 2014. Alexa was made popular by the Amazon Echo and the Amazon Echo Dot.  The device allows you to interact with it simply by speaking.  Alexa is capable of the following:

  • Playing music
  • Creating to-do lists
  • Setting alarms
  • Playing audiobooks

Most devices that have Alexa installed to allow users to activate the functionality via a “wake word” such as “Echo” or “Alexa”.  Developers have even written Skills that allow Alexa to order takeout food from outlets such as Pizza Hut and Just Eat!

Since its release, Amazon has really been pushing the software development community to build innovative skills. The tech retailer has held competitions and given away free swag to increase the adoption of the product.

You can find out more about Amazon Alexa commands here.

[bctt tweet=”The tech research and advisory firm Gartner predicts that by 2020, there will be approximately 250 million cars connected to each other via WiFi.  This will be to allow them to communicate and coordinate with each other on the roads.” username=”GAPapps”]

Self-Driving Automobiles

Driverless cars and driverless taxis have been making headlines recently.  Companies such as Google, Uber, Apple, Audi, Volkswagen, and Mercedes are heavily investing in self-driving automobiles – all powered by artificial intelligence.

Start-up company Otto (who is incidentally owned by Uber) successfully delivered 50,000 cans of Budweiser using a taxi completely controlled by artificial intelligence!

From a commercial perspective, integrating artificial intelligence into long-haul trucking routes will bring savings to businesses. This also has the potential to save lives given that machines don’t suffer from fatigue.

The tech research and advisory firm Gartner predicts that by 2020, there will be approximately 250 million cars connected to each other via WiFi.  This will be to allow them to communicate and coordinate with each other on the roads.

Crime Prediction

Artificial intelligence isn’t just being used in the home and to deliver beer. It’s also being used to help try and predict crime.  Firm Pred Pol built a software product that leverages big data, machine learning, and analytics.  The vision was to see if the software could use historical data sets to anticipate crime locations and times. This allows officers to pre-emptively prevent these crimes from occurring.

The software the following to help achieve this:

  • Past type of crime
  • Crime location
  • Date/time of the crime

Research has shown that additional crimes tend to occur close to the original crime spot.  At the start of each shift, officers examine Google maps which are overlaid with boxes that indicate potential criminal hotspots.

Download our infographic to to learn more about the future of artificial intelligence.

Social Media

Social Media platforms such as Facebook, Twitter, and Snapchat have also been pushing the technical innovation of artificial intelligence.


With almost 2 billion users on the platform, Facebook owns one of the largest datasets on the planet. Its users share vast quantities of content whether it be in text, image, and video format.

Consider the uploading of a photograph. Facebook automatically highlights faces. Then the software suggests friends to tag that exist within the user’s social graph.  Artificial intelligence is behind all of this.

By leveraging facial recognition software and neural networks, Facebook can identify with reasonable accuracy who each person is.  Facebook acquired an Israeli facial recognition tech firm Face.com in 2012 for $55-60 million which has helped drive these abilities.  Facebook has also been investing in this technology internally.


Advertiser revenue drives a lot of business on the internet. Social media is an ideal channel for marketers to help brands influence consumer behavior.  Firms such as Comprendi, Market Chorus, and Social Opinion all use artificial intelligence to help identify moments of commercial intent in Twitter data, in near-real-time, to help promote products, brands, or services.


In 2015, Snapchat introduced “facial filters”.  These track facial movements and allow users to add digital masks that overlay their faces when moved.  It uses AI technology which was originally developed by a Ukrainian company called Looksery which has patents on using machine learning to track movements in the video.

Virtual Assistants

X.AI’s “Amy”, while still falling under the category of Virtual Assistant, is a completely different product to Amazon’s Alexa and deserves its own mention.

Amy was born out of the Founder’s personal pain point of scheduling 1,019 meetings in one year alone. These meetings bounced between the respective parties until a suitable appointment date and time were found.

He figured this pain point must be affecting not just him, but other information workers. So he set out to build a virtual agent that leverages AI in order to reduce the amount of email ping-pong between work colleagues when trying to schedule meetings.

Amy’s artificial intelligence can interrogate communication and determine if humans are talking about arranging a meeting. When it’s identified this, Amy will then examine each person’s diary and find non-conflicting times and present these to all parties in the email or group message.


Netflix provides highly accurate predictive technology based on customer’s reactions to films. The online service analyzes billions of records to suggest films or TV shows that you might like based on your previous reactions and choices.

This tech is getting smarter and smarter by the year as the dataset grows. However, the tech’s only drawback is that most small-labeled movies go unnoticed while big-named movies grow and balloon on the platform.

You can read more about Netflix’s AI here.


In the past, chatbots offered rudimentary answers to simplistic questions. Most of this was achieved by identifying specific keywords and returning simplistic canned responses.  This was normally frustrating for users but advancements in artificial intelligence are transforming this field.

Advancements in Natural Language Processing (NLP), Text Analytics, cloud applications and machine learning allow chatbots to understand the semantic orientation and relationship of each word in a sentence and derive true meaning.  Doing this allows the chatbot to create some context of what a customer is talking about and ask relevant questions or provide solutions to customer queries.

JPMorgan Chase 

JP Morgan Launched a bot called COIN which allows the bank to analyze legal contracts faster and more efficiently that humans can which can also undertake the following tasks:

  • parse emails for employees,
  • grant access to software systems
  • reset passwords.

To date, this has saved the bank 360,000 hours in manpower!

AI solutions like this, combined with cloud applications, can give businesses a competitive edge by allowing them to process vast quantities of information in shorter timescales.

[bctt tweet=”In the past, chatbots offered rudimentary answers to simplistic questions, but advancements in artificial intelligence are transforming this field.” username=”GAPapps”]

Download our infographic to learn more about the future of artificial intelligence.


In this blog post, we’ve explored seven examples of artificial intelligence in the real-world, we’ve seen how AI is bleeding into all aspects of our life whether it be in the home, the workplace, or whilst you’re relaxing with a movie!

Here at Growth Acceleration Partners, we have extensive expertise in many verticals including cloud applications and artificial intelligence.  Our nearshore business model can keep costs down while maintaining the same level of quality and professionalism you’d experience from a domestic team.

Our Centers of Engineering Excellence (COEs) in Latin America focus on combining business acumen with top-notch expertise to help your business.  We can provide your organization with resources in the following areas:

  • software development for cloud and mobile applications
  • data analytics and data science
  • cloud applications
  • information systems
  • machine learning and artificial intelligence
  • predictive modeling
  • QA and QA Automation

If you’d like to find out more arrange a call with us.