What started all the trouble?
Scientists and researchers have lots of discussions about what Data Science is. Does it deal only with Big Data? And then what is the Big data? Is Data Science new? How is it different from statistics and analytics? So many questions requiring answers. That’s why we decided to figure it out what it’s all about.
Let’s sort it out
"Data Science" is rapidly developing in connection with the growing development of the technological base throughout the world. This Science is characterized by a complex approach and is interdisciplinary. Basically, it is a set of concepts and methods of data analysis that makes it possible to give meaning and understandable form to huge amounts of data, or, in other words, to extract valuable information, knowledge in various forms of structured or unstructured data from them, similarly to Data Mining.
The Data Science uses methods and concepts taken from many areas, such as mathematics, statistics, information sciences, computer science, and in particular Machine Learning, Classification, Data Mining, Pattern Recognition, Databases, and Visualization. It also intersects with the science of thinking (Cognitive Science), as this is the basis for developing various approaches to creating artificial intelligence and, of course, technologies for working with large data (Big Data).
From simple to complex
In a simple phrase, Data science is mathematical statistics, where data sets are too large to process them with standard tools (respectively, the first basic skill of a data science specialist is the organization and administration of clustered storage systems for large data sets). More complex tasks of the science of data are related to the search for hidden regularities in large data sets.
In a broader sense, data science is something that allows you to extract knowledge from a data set. From the usual statistics, Data science is characterized by a more complex approach - all possible sources are involved, including not only tables with dry statistics, but also other data.
The most popular industries where Data Science is used
- CRM/Consumer analytics
- Banking
- Fraud Detection
- E-commerce
- Software
- Education
- Mediсal/Pharma
- Finance
- Science
- Retail
- Telecom/Cable
- IT/Network infrastructure
- Credit scoring
- Advertising
- Healthcare
- Insurance
- Social media/Social networks
- Oil/Gas/Energy
- Supply Chain
The future belongs to the companies and people that turn data into products
It is important to understand that the Data science begins with the collection of data. Then the data is refined: some research process that reduces the amount of data to some useful array that allows us to get an answer to the questions that interest us. As a rule, these questions determine the approach to extracting information. Steps to collect and refine data contain other important actions, such as cleaning (pre-processing) and visualization of data.
Data Science is something that will change the world of programming, business and even consumers, perhaps in the same field as, for example, the invention of a personal computer. This science allows us to systematize the process of continuous increase in data, to obtain qualitative results.
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Our contribution to progress
Softarex helps its clients find new opportunities, make a competitive advantage, and gain deep insight from the terabytes of data generated by machines, social networks, electronic health records, patients’ health records data, and smart devices embedded in daily life. In the development of Data Analysis Systems, our core focus is the Healthcare sector where we offer advanced solutions for patients’ data analysis and predictive modeling of different situations which may occur with patients.
The development of fully functional data analysis systems involves a number of steps, starting from research and analysis of a particular area and finishing with software testing and implementation.
Our specialists are capable of building our own data analysis systems for:
- Predictive Modeling,
- Pattern Recognition,
- Machine Learning,
- Regression Analysis, etc.
Moreover, our engineers have a deep knowledge in:
- Classification,
- Clustering,
- Anomaly Detection,
- Predictive Modeling,
- Statistics,
- Optimization.
How cool the completed projects can be
Java, ReactJS, PostgreSQL
FinMatex is an information and consulting platform for personal finance in the format of a messenger using artificial intelligence.
On one hand, it is a wide range of financial information on the value of shares and stock indexes, the parameters of banking products, the main financial news and feature articles. On another hand, it is an artificial intelligence, that in a friendly dialogue will help in choosing products, report the value of various stocks and explain financial terms. It will give a clue of the application work and, if necessary, will redirect to the financial companies resources (chat-bot, manager, or website).
Learn more at softarex.com
Java, ReactJS, PostgreSQL, IBM Bluemix
It is a web application with voice recognition system and module based on NLP for understanding students answers and for providing online training and exams in English.
Core functionality:
- Users, students, exams, and tests management
- Text to voice generation system for generating voice with questions based on defined scenario
- Generation of recommendations for English skills improvements based on the list of wrong answers to questions
- Comparing of student’s results with results from other students
- Control student’s behavior, as well as the area and sound around students through video camera, so they will not use books or phones during exams.
Java, ReactJS, PostgreSQL, IBM Bluemix
For this project, Softarex team comprised of talented engineers and scientists has conducted complex scientific research and proposed algorithms for predictive modeling for chronic disease based on historical data collected from claims CMS 1500. At the current step of research, our algorithm reached approximately 38% of accuracy in surgery prediction. It showed high NPV value (approx. 98%), so the algorithm can be used to detect who for sure won’t have surgery in next year.
The system contains from following modules:
- Data pre-processing system
- Set of rules for definition disease
- Machine learning module
Java, ReactJS, PostgreSQL, IBM Bluemix
This is voice recognition using a mobile application and IBM Bluemix to store information in the database. In the future, this will be a transition to EHR systems. This approach saves a lot of time for filling out forms.
Mobile application. This app has the necessary functions for receiving, recording, and sending voice to the server for further processing.
Web application. This app shows the recognized information necessary to fill out medical forms in EMR systems.
Machine learning and server-side part. This is a part implemented in IBM Bluemix for voice recognition, and the server-side part that is needed to coordinate with mobile applications, the web application and the IBM Bluemix service for voice recognition.
FinMatex
FinMatexTechnologies:Java, ReactJS, PostgreSQL
FinMatex is an information and consulting platform for personal finance in the format of a messenger using artificial intelligence.
On one hand, it is a wide range of financial information on the value of shares and stock indexes, the parameters of banking products, the main financial news and feature articles. On another hand, it is an artificial intelligence, that in a friendly dialogue will help in choosing products, report the value of various stocks and explain financial terms. It will give a clue of the application work and, if necessary, will redirect to the financial companies resources (chat-bot, manager, or website).
Learn more at softarex.comEnglish Language Training System
English Language Training SystemTechnologies:Java, ReactJS, PostgreSQL, IBM Bluemix
It is a web application with voice recognition system and module based on NLP for understanding students answers and for providing online training and exams in English.
Core functionality:
- Users, students, exams, and tests management
- Text to voice generation system for generating voice with questions based on defined scenario
- Generation of recommendations for English skills improvements based on the list of wrong answers to questions
- Comparing of student’s results with results from other students
- Control student’s behavior, as well as the area and sound around students through video camera, so they will not use books or phones during exams.
Predictive Modeling for Healthcare
Predictive Modeling for HealthcareTechnologies:Java, ReactJS, PostgreSQL, IBM Bluemix
For this project, Softarex team comprised of talented engineers and scientists has conducted complex scientific research and proposed algorithms for predictive modeling for chronic disease based on historical data collected from claims CMS 1500. At the current step of research, our algorithm reached approximately 38% of accuracy in surgery prediction. It showed high NPV value (approx. 98%), so the algorithm can be used to detect who for sure won’t have surgery in next year.
The system contains from following modules:
- Data pre-processing system
- Set of rules for definition disease
- Machine learning module
Filling Medical Forms by Voice
Filling Medical Forms by VoiceTechnologies:Java, ReactJS, PostgreSQL, IBM Bluemix
This is voice recognition using a mobile application and IBM Bluemix to store information in the database. In the future, this will be a transition to EHR systems. This approach saves a lot of time for filling out forms.
Mobile application. This app has the necessary functions for receiving, recording, and sending voice to the server for further processing.
Web application. This app shows the recognized information necessary to fill out medical forms in EMR systems.
Machine learning and server-side part. This is a part implemented in IBM Bluemix for voice recognition, and the server-side part that is needed to coordinate with mobile applications, the web application and the IBM Bluemix service for voice recognition.
Got interested?
We use our expertise in Data Science for building Computer Vision systems for different applications, Data analysis and Predictive modeling systems for Healthcare sphere.
Our team of professionals always develops and improves the acquired skills and achieves excellent results with special interest and enthusiasm. That is why Softarex Technologies, Inc. is trusted worldwide for 15+ years and not going to stop.
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