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Big Data and Machine Learning

Big Data is a new trend in information technologies which delivers new abilities for information processing and management. In the past 10 years, this segment has grown practically from the idea to widely used solutions. Big Data is mainly used together or in the framework of Cloud technologies. This is the fact that has made Big Data very popular and perspective approach for data processing, storage, analysis, and management. Use of technologies related to Big Data opens new abilities in the areas of healthcare, energy, marketing, research, manufacturing, and others. We develop our applications with the use of different technologies and approaches for maximizing the value of Big Data technologies for our customers.

Our experts deliver for our customers different enterprise-wide and business critical applications based on Big Data technologies in Healthcare and Energy sectors. We also develop Smart TV systems connected to cloud based video streaming services located in Azure-based clouds. These systems deliver video content on demand (delivery to mobile devices included) to end users. Our solutions serve millions of users per year and offer large set of features.

Our portfolio features the following Big Data solutions:


  • Electronic health records (EHR)
  • Medical billing systems
  • Reporting and analysis


  • Meter data collection and management
  • Utilities billing systems
  • Utilities consumption data processing, converting and analysis

Machine learning

What is that and why it is a big-league

Machine learning is a set of algorithms and methods that allow a computer to make expectations based on previous experiences, such as statistics. As a result of the training we get not just a program that can sort the results, but the formula that is understandable for people. Therefore, using the machine learning we can get new useful information from the "raw" data.

Machine learning is a growing up technology that frees developers from coding it manually. During last 5 years the number of companies, that are training software, has grown essentially. It is a vast subsection of artificial intelligence, discipline, that uses mathematical statistics, numerical optimization methods, the theory of probability, discrete analysis, and exact knowledge from the data. It is becoming widespread and organizations already use it for cyber security improvement and autonomous cars optimization.

Machine learning is not only of looking at the huge database without any fear but also can make such calculations that are beyond the power of the normal human being.

Why it matters?

The aim of machine learning is the development of algorithms that can reproduce the “human brain” analyzing the information and in the course of decision-making.

All above mean that it is possible to swiftly produce models which can make better analyzation and deliver more precise results even faster – especially on a very wide scale. By building define models, a company has a better chance to identify profitable opportunities – or to avoid unknown risks.

Initially, machine learning was coined for companies and organizations to prevent IT-problems before they occur. As IT systems have grown more complex, organizations need to not only look at infrastructure logs, but also custom application event logs, database logs, mail server logs, operating system logs, and more. Algorithms are built in such a way, that organizations can take better decisions without involving humans.

Who's using it?

  • Financial services
  • Governmental organisation
  • Healthcare facilities
  • Marketing and sales
  • Oil and gas
  • Transportation
  • Retail
  • Education
  • Manufacturing
  • Logistics

Machine Learning means business. You can involve your model into production as a web service in seconds — and it can be called from any device, no matter where and that can use any data source.

Softarex Technologies, Inc. forge ahead and moves in the direction of the in-depth study of machine learning for years. Moreover, now we can offer you solutions and projects based on the deep knowledge of artificial intelligence. We are sure, that it is high time to board the liner of rapidly moving technology.

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