10 Machine Learning Use Cases You Should Know AboutJune 30, 2018
Today, Artificial Intelligence is being applied in more and more applications across industries. However, unlike what the human-like robots in science fiction fantasies would have led us to believe, modern AIs are mostly used to automate various tasks which can include moving machinery or even finding hidden patterns within data.
Machine Learning is a branch of artificial intelligence (AI) which provides computer systems with the ability to autonomously learn and improve themselves using observation without having been programmed to do so. It has become one of the most significant technological developments in recent history.
Here, every time a customer interacts with the AI, it analyses the person’s actions and behavioral pattern and remembers it. The AI will then use that information to make it easier for the customer the next time he/she uses it. This, in turn, helps companies in identifying patterns across extensive amounts of customer and user data and target audiences which are most likely to buy their products or services.
Machine Learning allows computers to learn automatically without the need for human intervention or assistance, and react to situations accordingly. This increases efficiency and ensures an improved user experience.
Here are ten organizations that are using the power of machine learning effectively in their workflow:
They use Machine Learning-based technologies in their Endpoint Security for Business. This software can detect previously unknown malware threats by ‘learning’ from relevant big data threat information and by building effective detection models. Machine Learning algorithms help predict security breaches.
They developed an algorithm that could identify up to eight variables that helped predict avoidable hospitalizations among diabetes patients. This algorithm was effectively able to process more information for more accurate diagnosis than it’s human counterparts.
PayPal has developed an artificial intelligence engine built using open-source tools to detect suspicious activity. This engine has the capability to separate false alarms and true fraud.
Google uses Machine Learning to gather information from its users and improve their search engine results.
They have patented a machine learning technology that decides when to transfer control of a self -driving a vehicle between a human driver and a vehicle control processor in case of a potential emergency. This means that the algorithm can figure if it’s best to allow the human to continue driving in case of an accident, or if it’s best to allow the computer to drive the car.
Ecree uses Machine Learning to power its automated writing assessment software. Whenever a student wants to submit an essay, an algorithm identifies whether the student has written a thesis or a statement of purpose, and then the statement is evaluated.
Walmart uses Machine Learning to maximize its efficiency. Its Retail Link 2.0 system feeds on information that is gathered from the supply chain to notice deviations from any process so changes can be made instantly.
Honda uses a machine-learning algorithm to detect issues in their vehicles beyond the assembly line by identifying patterns in the free-text fields of the respective warranty return notes and from reports from mechanics.
Facebook is using AI applications to filter out spam and poor-quality content, and they are also researching computer vision algorithms that can describe images to visually impaired people.
Amazon has implemented personalized product recommendations based on shoppers’ browsing and purchasing history. Machine Learning also powers the natural language processing done by their digital assistant, Alexa.