- How does AI work? Real-world examples of AI in use
Examples of artificial intelligence can be found in every corner of our lives, but understanding how it impacts us isn’t always easy. Learn more about how AI is affecting everyday lives and augmenting business, giving humans more abilities in a time poor world.
Asking Alexa how many days until your birthday. Using your smartphone to find the best traffic route. Watching a recommendation on your streaming service. Calculating profit margins and forecasting sales. Identifying security hacks. Various types of AI are all around us.
The history of artificial intelligence is varied but its use in modern society is fully entrenched with 83% of companies citing AI as a top priority in their business plans. From healthcare and financial services, to mechanics and travel, real-world examples of AI reflect the diverse nature of the technology. Learn how AI is applied in today’s world.
AI examples in transport: is it just driverless cars?
Smart maps are one of the most frequently used AI applications – from walking directions based on real-time footfall to instructions from a Satnav, relying on technology to get from point A to point B is commonplace in today’s digital-first world. But it’s not just maps where AI is helping people move around.
Driverless taxis are available in some US cities, with trials also happening in China. City tours are available in autonomous vehicles, with the in-car entertainment providing facts about the sights.
For drivers, automobile companies such as Audi, Tesla and Toyota use AI to boost safety measures, training cars to detect objects and help avoid accidents.
Having been ‘taught’ control actions such as steering and brakes, and how to identify hazards and objects to avoid, AI vehicles work in connection with sensors inside and outside the vehicle. The technology continually refines itself, learning from every journey it makes, as well as passenger feedback, to improve its on-road performance.
AI also helps with car maintenance. A company called UVeye provides mechanics with an app to diagnose common mechanical problems via just visual and aural signs such as oil stains, bent suspensions or the sound of the engine. Uploaded pictures and sounds are analyzed by the AI and compared to an extensive knowledge base, where an assessment and treatment recommendations are made. If a spare part is required, the system can automatically place an order or pick it from the shelves. The more the AI is used, the more it improves – or refines – its detection skills and solutions. Using machine learning, the program is make and model agnostic.
Examples of AI used in agriculture
Green-thumbed gardeners are able to identify plants that pop up in their garden, but AI also works in the agriculture sector to aid food producers. Identifying plant diseases, recognizing soil problems such as nutrient deficiencies, and tackling weeds are some ways AI helps farmers.
Just like the transportation examples above are trained to identify mechanical issues from sounds and sights, AI in agriculture works by pulling from a deep knowledge base formed of data.
In identifying plants and their diseases, images are uploaded and compared in real-time to a database of millions of plant species and thousands of known diseases and common gardening problems. The user can discover a plant’s name and origin, its optimum growing conditions, or likely causes of discoloration or impairment (such as identifying overwatering or lack of sunlight) – all informed by machine learning and AI algorithms processing thousands of data points quicker than the blink of an eye.
In the same vein, vintners are informed by AI technology on implementing the best time to water their vines, how much water to use, and protect them from unpredictable weather. Canadian fruit and vegetable producer Nature Fresh Farms uses AI to “fine-tune environmental control by collecting data on factors such as temperature, humidity, sunlight, radiation, and strength of light.” Their system then optimizes growing conditions through curtains, pipe temperatures and vents to improve crops, promoting better yields for industrial scaled farmers, whilst maintaining the quality of independent produce.
How AI is used in healthcare
With healthcare professionals increasingly overworked, AI is helping to ease some of their pressures. AI technology is used by 1 in 3 medical professionals to assist in diagnosing patients, combining learnings gathered from images, each patient’s unique circumstances and symptoms, and data from anonymous community medical histories to identify and sometimes even treat cancer.
And it’s not just cancer and diagnostics where AI is used in healthcare. In the UK’s NHS hospital systems, AI company Liopa gives a voice to patients with a range of speech conditions with its machine learning-based lip reading platform.
AI as an ubiquitous problem solving tool
The diverse nature of artificial intelligence lends itself to a wide range of applications: understanding AI in the automobile industry isn’t as simple as understanding its presence in driverless vehicles, there’s more minute, almost ‘hidden’ uses of it which assist in everything from manufacturing cars to maintaining them.
Artificial intelligence was designed to aid humans, acting as a problem solving tool for common ailments whether that be in the business world or at home. AI is most often not doing what humans can’t do – it enhances what humans can do, providing the capability to make decisions and act at scale whilst still performing at an individual level for entire audiences at the blink of an eye.
AI examples for your business
This way, AI can massively improve business outputs and results – from uses in digitized services, personalized marketing to enhance customer engagement, or ecommerce retailers driving delivering most relevant 1:1 shopping experiences.
At BD4 we view it as a great opportunity for businesses in travel, airlines and retail. Just like the variety of AI examples used in the transport sector, we work with our clients to find the best way AI can assist their unique set of business challenges and opportunities.
Our AI-driven profiling and decisioning platform is not a ‘plug-and-play’; just like we are doing with Royal Air Maroc, we act as an R&D partner to identify how AI can best be used to support specific business needs.
There are some tested and proven off-the-shelf use cases that provide a clear ROI, but most businesses have specific desires and differentiation aims that can be supercharged with the use of case-specific AI.