How Machine Learning helps the Human Race
Having arrived from the realms of science fiction, Artificial Intelligence has already served humans for quite some time, helping with speech and graphics recognition, providing support in construction and architecture, medicine and sport - everywhere from business to entertainment. Today I want to introduce you to one of its fields - machine learning. Find out how your business can benefit from this new IT trend.
How do Machine Learning Methods Work?
Machine learning is a form of self-teaching technology that automates analytical
A clear example is the traffic forecast. Congestion levels are based on many factors: location, season,
Usage of Machine Learning in Business
Selling Systems for Online Stores
Machine learning in business can consist of advisory systems for online stores. Its task here is as follows: based on analysis of the user's behavior on the site and previous purchases, additional products are offered that the user is more likely to buy (see Chatbot is on duty). A learning program is created, i.e. an algorithm that analyses a vast amount of data about purchases in various online stores and, following training, can produce fairly accurate predictions for new customers.
- Practice shows that a good system of recommendations can ensure revenue growth of up to 50%.
Customer Behaviour Forecasts
Machine learning methods are often used to predict events in a client database. One large insurance company providing VMI services, with the help of machine learning, has learned to predict which clients will soon seek expensive medical care. Using such a forecast, the company pre-connects with "high-risk" customers and takes preventative measures: for example, offering to arrange a health screening for the client or a consultation with a more qualified doctor. Clients have thus begun to receive qualified help in advance, without waiting for an acute phase of illness, and the insurance company has reduced its VHI expenses by hundreds of thousands of dollars a month.
Machine learning allows for the
- If you feel that your business is suffering from operative excesses that need to be structured and automated, ask our consultant Dmitry +44 20 3393 1772 for help.
Segmentation When Working with Clients
With the help of machine
- And machine learning can do much more. Consider the possibility of recognition of the neoplastic colony in the human body and the ability to reconstruct it in order to predict illness in its early stages. Our team is ready for involvement in such sophisticated projects, as we already have experience with several complicated healthcare solutions.
Neural Networks in Mobile Processors
Artificial intelligence has already reached mobile processors and is starting to develop at the hardware level. Read more about how machine learning is reaching the mobile market here.
- This year Apple introduced its new flagship processor for mobile devices - Apple A11 Bionic - with
built-inneural system, designed for separate work with artificial intelligence.
- Technology giant Huawei was the first among Apple’s competitors after Apple to unveil a similar development - the Kirin 970 boasts a special processor for neural processing.
- Samsung is also working on a similar chip - the Exynos.
You may be interested in some other articles about Artificial Intelligence and Machine Learning:
If you’re in need of high-volume data analysis structured for trends or breakage forecasting, as well as raw material consumption prediction, everything can be solved simply via implementation of a strong mathematical algorithm.
- If your essential process is sophisticated and changing all the time, based on several free parameters, machine learning technologies are the only possible option for your project.
AI is rapidly gaining popularity and penetrating the business sphere, bringing solutions to nonlinear tasks where several hypotheses compete with each other based on the probability of several external influencers. Such scenarios require the implementation of Machine Learning.
We know how to make high technologies accomplish your business tasks. Let’s talk about it.