Machine learning is a process which allows a machine (computer) to show the behavior not programmed preliminary. Using algorithms, multiply extracted from data, machine learning helps the computer find the needed request without explicit programming. Today machine learning is a first-class ticket to the most successful career growth in the field of data analysis. It involves information technology and statistics, and uses this data to enhance the results. This technology is a must-have skill for every analyst striving for the improvement and acceleration of the data collection and result analysis. Newsfeed of Facebook social network uses machine learning to analyze the channel of every element. For instance, while scrolling the newsfeed you stop to read or like the post of one of your friends, the system remembers it and subsequently shows you more news from this friend. Actually the software simply uses statistical and predictive analyses in order to identify algorithms in the user’s data and to apply them in newsfeed. If later on you don’t read the posts of this friend, new data will be input in the data set and newsfeed will be corrected accordingly. This called iterative aspect of the machine learning – ability to independently adapt to the new data. Exactly machine learning specialists are presented in TOP experts’ category down below: Middle and Senior level with strong programming skills in popular languages (mostly Java and Python). These talents are specialized in Digital Signal Processing, Recommender Systems, Computer Vision, as well as Sentiment Analysis, Computer Linguistics and Natural Language Processing for more niche project requests.

Customer Relationship Management (CRM or CRM system) denotes applied software used for organizations of all types and is aimed to automatize strategies of interaction between customers to increase sales, optimize marketing strategy and improving supplement. The key advantage of CRM systems is its ability to keep information concerning clients and their history, business processes and their further study. The center of CRM philosophy is client and all key measures are taken to improve quality of company service. To support these business purposes CRM should include storage and analysis information about vendors, consumers, partners and inner processes of the company. To reach top goal data is taken from phone calls, emails, events, meetings, social networks etc. Today there exist many CRM systems (cost-free and paid). They are divided into four types: strategic, operational, analytical and collaborative. AOG offers CRM experts with solid experience in CRM systems development. Request our talents and progress in your business.