A Chatbot for Preliminary Medical Diagnosis

Warning: we don’t think that chatbot can substitute a visit to a doctor. A medical chatbot is an automatic symptom checker, not a qualified medical opinion, and any treatment must be confirmed with a healthcare service provider. Yet this medical chatbot can assist with a more accurate diagnosis of millions of googlers. 

43% of people google their symptoms before they visit a real doctor…and misdiagnose themselves, thinking they have a much more serious illness than they actually have. That’s a fact. We think that googling does not substitute professional consulting, but it could be much more effective in terms of diagnosis if people used medical chatbots.

We’ve created a medical chatbot that accumulates a whole database of symptoms, combines them with the biometric parameters, such as pressure and heart rate ( which are received via a smart band ) to provide multiple users with the more accurate preliminary diagnosis.

An AI chatbot uses Machine Learning algorithms with Natural Language Processing technology which can understand clinical concepts (risk factors and symptoms) efficiently, and what is more important, learn with more data to provide a more accurate preliminary diagnosis. Healthcare service provides a unique opportunity to make preliminary medical diagnostics from a patient’s health data (such as risk factors, symptoms, demographics, biometric parameters, or lab test results ).

This is how it works:

BENEFITS OF A MEDICAL CHATBOT FOR PATIENTS

  • More accurate diagnosis thanks to the precise biometric results. At the moment, a smart band provides an AI with the heart rate and pressure data, but in the future, it is possible to extend the number of biometric parameters adding temperature, for example.
  • Historic analysis of the biometric data. Smart devices, such as fitness bracelets or smart bands, can take measurements within a long period of time, thus, they will be able to provide doctors with the precious historical data. Even a historical analysis of heart rate parameters will give a doctor a more reliable picture of the diagnostic situation.
  • Friendly conversation. This bot can ask patients about their health in a friendly manner and provide some preliminary diagnosis even before a visit to the doctor. For many users, the possibility to talk with someone about their symptoms reduces anxiety and serves as a natural antidepressant. 
  • Сhatbot is available in a web version which makes it easily available for older people. 
  • The fullest database of symptoms. We used a database of symptoms provided by Mayo Clinic as we found it to be a trustworthy and available source of the information. In reality, it is possible to use any database of symptoms created by any clinic. 

Technologies we used developing this chatbot:  BluetoothWebApi, PWA application (web/mobile), DialogFlow + Custom NodeJS + Infermedica API

We believe that AI in healthcare can optimize many processes and make the level of services more effective. AI can provide millions of users all over the world with the attention they need when they feel the first symptoms of any illness. 

AI medical chatbot can give a precise preliminary diagnosis on the basis of the database of symptoms created by real hospitals.

Once again, the medical chatbot will never substitute a visit to a doctor, but it can alleviate the work of healthcare service providers immensely by giving them more accurate information about the symptoms. 

Legacy System Modernization

The majority of legacy systems in the enterprise or public sector were created decades ago, and their maintenance today can cost a fortune to a business.

Apart from the fact that they were often written in the antique programming languages and it is utterly difficult to find someone who knows COBALT, legacy systems have numerous bugs and fail to produce the required results often.

Legacy system modernization, thus, is more than just a whim, it’s a financial investment into the company’s sustainability. When facing the legacy system modernization, there are several options: rehost, rebuild, and replatform. At Softengi we’ve learned how to use all three approaches to make the legacy system modernization seamless. 

Rehosting the legacy system means updating some features and functions or redeploying the system’s elements to another infrastructure. Today it’s most effective to use cloud storage for this purpose as it guarantees security and efficiency of the hosting. We use AWS, Azure, Google cloud services to provide our clients with the most relevant and custom cloud service.

Replatforming means changing the code minimally in order to preserve the structure of the code in order to make the migration of one of the elements of the application. 


Rebuilding is the most complex and long-term approach for legacy system modernization. It presupposes rewriting the code of the application from scratch while preserving the purpose and the specifications of this application. 

Design System: The Future of Digital Design

“Styles come and go. Good design is a language, not a style.”

–Massimo Vignelli, Italian Designer

The latest trend in the highly fast-paced design world is the Design System. In recent years, digital design has gained significant importance in the tech world. As the commercial world evolves at a rapid pace and customer demands become more sophisticated, newly emerging applications have cannot survive without a comprehensive design. Spotify, IBM, Google, SAP and other tech giants already embrace this trend and have their own design systems. 

What is the design system? 

A design system is a large set of rules, constraints, and principles applied in a design or a code. Nathan Curtis, a founder of a UX company Eightshapes, identifies a design system as“…a library of visual style, components, and other concerns documented and released by an individual, team or community as code and design tools so that adopting products can be more efficient and cohesive».

In essence, a design system includes User Interface (UI) elements such as tooltips, icons, text fields, effective design principles – colours, spaces, and shapes as well as guidelines as to how to effectively implement them into an application. 

Who needs a design system? 

A design system is not an ultimate tool for all companies. Such system does make sense only for medium-sized and large projects, that involve many professionals: designers, developers, project managers, and analysts. These projects face mostly communication and collaboration problems. For instance, one developer creates one component of a product, the second one develops the other one in a completely different style, the next specialist adds another features that do not match the previous elements in terms of design and style. As a result, the final product seems just like well-known character- Frankenstein, looking incoherent and non-organic. In order to avoid confusions and enable an effective team work, a design system with its graphic guidelines and defined design components help companies to manage medium and large projects more efficiently by creating a system of already defined elements and components matched in style.

Insights into the design system creation 

In the process of the creation of a design system many professionals from different fields are involved. Among them are designers, developers and analysts, who team up to create a comprehensive system of design elements.

Designers define how particular elements have to look like in various contexts, developers, in turn, superimpose semantics on the provided design components. The final step is taken by business analysts, who write the guidelines in plain and concise language.  

Design System - Softengi

When working with design language and development, teams rely on the atomic design methodology, which is heavily focused on the hierarchy of composed elements. The idea is that everything in the natural world consists of elements combined together: atomic elements join together to form molecules; molecules combine with each other to build up organisms. The same principle is used in the design. However, unlike the three-tier model of the world atomic theory, the design methodology consists of five stages. The hierarchy comprises of atoms, molecules, organisms, templates, and pages, where atoms refer to the smallest UI units that can not be broken down and pages, that are the final UI, which users will view and interact with. 

The atomic design metholodology - Design System - Softengi

Bridging the gap between design and development 

The rift between design and development is the rift between different approaches and roles in the creation of an application. A design team focuses mainly on a visual presentation in order to make the application appealing and comfortable to use. Attractiveness, accessibility, usability as well as context, are main aspects considered by designers. By contrast, the development team focuses on efficiency and the practical side of the application that involves codes and algorithms. Both design and development teams are essential for a successfully developed application; however, they often face problems with communication and collaboration. 

A design system is an ultimate tool for ensuring successful collaboration between design and development departments. As a design system provides consistent and robust design patterns that are constantly updated, developers can easily use components of permanently updated scoped styles. As a result, a collaboration between designers and developers is enhanced and work productivity is improved. 

Difference between a design system and a style guide

Some people do not see the principal difference between a design system and a style guide. Unlike a style guide, a design system is not limited exclusively to style. Visual presentation, including colours, fonts, and illustrations constitutes only a part of a design system which is more like an ecosystem, involving multiple components that are regularly updated. 

The above-mentioned Nathan Curtis said that “ a style guide is an artefact of the design process. A design system is a living, funded product with a roadmap & backlog, serving an ecosystem.”

Difference between a design system and a pattern library 

A pattern library mainly focuses on functional components and their implementation. Buttons, page layouts, and other UI elements are annotated with interaction and visual design specifications. However, it is only a collection of elements, rather than a framework. A design system is an infrastructure that focuses on the entire product design and its implementation process. 

Four principles of a design system

Salesforce, an American software company, highlighted four main principles of its own design system is uses. These principles embrace distinct features that provide coherent and systematic order to page applications. 

Clarity

A design system must avoid ambiguity, enabling users to understand the used system and act with confidence. 

Efficiency

The main goal of a design system streamlines workflows. In order to work fast and efficiently, the system must anticipate the needs of users. 

Consistency

A design system strengthens users intuition by embracing the same solution to the same problem.

Beauty 

The system must be thoughtfully developed and attractive to users. 

Four principles of a design system - Softengi

Advantages and disadvantages of a design system 

Advantages 

Speed

One of the major problems in the creation of a product is decentralized knowledge. All members of a development team has their own vision as to what the design of a developed product must look like. However, the exchange of visions and ideas between team members always takes a lot of time and effort. This tedious process can be easily avoided due to the use of  a design system. Constant integration of design knowledge into a system-derived document will save hours of development time and allow designers and developers to focus on more important tasks. 

Collaboration

A development team always consists of members representing various departments. Developers, designers, project managers all work on the same product, but focus on different aspects that relate to their respective professional fields. Implementation of a  centralized system enables the development team to communicate easier. For instance, a developer does not have to receive approval from a designer for the applied design, as the design elements of the product design system are already approved. 

Scalability 

Various program languages, as well as frameworks, require a different design. A fluent design system can scale the design process by applying a diverse set of design elements for particular aims and needs. As a result, applying a design system helps to tailor developed products to potential clients needs and desires. 

Clarity in design and code

A design system is a living ecosystem, which is constantly monitored, maintained and updated. Potential problems or mistakes are immediately detected and fixed. On account of that, a design system has a clean and clear code base and easy-to-manage design. 

Disadvantages

Many versions of one element

Elements available in a design system mostly have many versions for a different context. On the one hand, it is effective as less time can be spent on developing prototypes, on the other hand, it can be confusing for team members to decide in favour of one or the other version.

Examples of design systems 

Commercial Design Systems 

GEL: Global Experience Language by BBC

 Global Experienced Language is a BBC design system, which incorporates interaction design patterns and design elements,  that assemble the whole online output of BBC. Introduced in 2010, GEL helps development teams create an appealing digital experience for cell phones, tablets, and TV applications across BBC. 

Canvas by HubSpot 

A HubSpot has developed its own design system, called Canvas, which is used for all products of the company. The system enables HubSpot developers and designers to rapidly and efficiently work out quality solutions on a massive scale. 

Government Design Systems 

United States Web Design System 

Creation of user-friendly, trustworthy and accessible applications is important not only for commercial solutions but also plays a significant role in the governmental field. For instance, the US Federal Government has developed its own design system that ensures creation of consistent digital applications that help build trust across American users. 

Australian Government Design System 

The Australian Government Design System is used by designers and developers for creating governmental products and services easily and efficiently. The system employs Australian Government standards in order to deliver a consistent experience for Australian users. 

Creating a design system with Softengi If you decide to develop your own design system adjusted specifically to your business, Softengi with its team of 280 professionals is ready to help. Our highly-qualified designers and developers can build a highly structured, organized design system with interactive components, UI kits and pattern libraries. Appropriate design and typography, as well as data visualization tools, will enhance your business productivity, raise brand awareness and improve overall user experience.

5 E-learning Trends: How Should a Modern LMS Look Like

Regardless of the business sector, all companies need to train their employees regularly. This month your sales managers have to pass the new billing rules training, next month your engineers need to be recertified on the new equipment. Pharma employees have to pass  FDA training to ensure a high level of compliance on a regular basis. Thus, effective trainings are the reality of any modern business.

Knowledge Management System is an umbrella term that incorporates all sorts of e-learning software (educational web platforms, learning management systems, corporate/public web portals, document management systems, scheduling systems, etc) that make remote educational processes (e-learning) possible.   

We all heard that e-learning would become a new reality. After a COVID-19 outbreak, we all see that e-learning is the only possible development path for education on a governmental and corporate level. If the efficiency of your education depends on the presence of people in the room, you are doomed to fail. 

It turned out that many companies, educational and public institutions were not ready for that force majeure event and did not have effective and user-friendly interactive e-learning software solutions. 

WHAT EXACTLY IS A KNOWLEDGE MANAGEMENT SYSTEM?

A knowledge management system is, as you may guess from the name,  holds valuable information for the company or an educational/ governmental institution. 

Web-based learning platforms of all types have become the ultimate need in modern conditions not only for educational institutions but for all companies that aim to ensure low-cost and optimized employee training modules and solutions.

Any type of a knowledge management system, regardless of whether it’s an e-learning system or a web portal, is supposed to provide authorized users with valuable information online. Regardless of the time, location, and sometimes even Internet access.

Learning management systems (E-learning platforms). These are the software-based platform for e-learning program storage, delivery, and assessment. Learning management systems or LMS are probably the most common type of knowledge management system and each organization aims at some point in its development to build a custom LMS.  Learning management systems make continuous educational processes for the company’s multiple employees more effective than peer-to-peer training and mentors’ education.   

A virtual training assistant is another name for a learning management system: the name “virtual training assistant” presupposes that a student has any help accessible online anytime from any place. 

Learning experience systems (LXS) are the new type of e-learning software that is proving itself to be more and more popular. The crucial difference between a learning management system and a learning experience system is that the first one was basically created for the administrator and the second was developed with the user in mind.  Learning experience systems are much more intuitive, UI/UX-friendly, and more comfortable to use. The interface of a good learning experience system would resemble the Netflix panel more than the admin panel of the website. 

Augmented Reality (AR)
Modern Learners Study with the help of Technologies

Employee Training Platform Software. Actually the difference between learning management systems and employee training platforms is blurred. Yet, when speaking about employee training platform software, experts make emphasis on practical education as it has paramount importance when we speak about employees’ efficiency. Using online employee training software, it is easy to create training courses for employees, assess them with the help of quizzes, track employees’ progress, and help people collaborate and communicate.

Content management systems. There are multiple custom CMS solutions, like WordPress, on the market, yet many public institutions,  small and medium enterprises, as well as big corporations tend to choose custom content management system development. Why so? Available CMS needs to be adapted to the needs of the organization in terms of the availability of access, features, security,  which often results in almost complete redevelopment and involves serious investments. Custom web content management solutions promise to take into consideration all the requirements of future users. The public sector is one of those business segments that cannot be satisfied with 

Document Management systems became a necessity for many business sectors because of governmental regulations. For instance, accounting, medical devices manufacturing,  construction, and even IT companies are obliged to document every single step of the operational process. 

 To reduce the number of paper documents and to ensure that these documents are stored securely and are available too, companies tend to implement document management solutions. 

Scheduling Software. For many educational institutions, custom scheduling software has become a necessity. It helps to attune educational processes, make a puzzling scheduling process transparent and logical for both teachers and students.

MODERN TRAINING: MOBILE, GAMIFIED, VR/AR-POWERED, AND CLOUD-ENABLED

  • Cloud storage. Regardless of the type of knowledge management platform, you will build, it is obvious that there will be a lot of data. Modern students require more: they do not want to read texts, they aim to watch webinars and videos, pass quizzes, and interact with each other. That is why an effective modern e-learning solution will be cloud-based. AWS, Microsoft Azure, Google are offering their cloud storage solutions, and it is not wise to decline the opportunity to store the data securely and safely. 
  • Gamification for business, it brings life to the learning process. Using game mechanics in the educational process, it is easy to engage users on a deeper level and improve the retention rate. Lack of interest and motivation are probably 2 most serious issues when it comes to self-learning especially in corporate circumstances. Gamification can change everything in this regard making learning environment rich and exciting. Using badges, avatars, quests, users feel empowered to compete, to do more than they used to and to reach better results. 
E-learning trends
  • AR/VR for education. Yes, we are speaking about AR/VR again. You must have got used that these are hype technologies. It is time to realize, they bring value more than buzz. Virtual reality trainings would not be so popular among military men, if they were not effective, let us be honest. Yet, almost every innovative army uses VR training to train their soldiers to react properly under stress.
  • E-learning Mobile applications. Mobile apps have become the most useful tools for e-learning for a simple reason: mobile phones are always available and they are always with us. Taking into account a microlearning trend, no wonder e-learning mobile apps have become so popular. 

E-LEARNING TRENDS IN VARIOUS BUSINESS SECTORS

Educational institutions are no longer usurped by universities and schools: the number of people who receive an education online is increasing by 3% each year. Increase in demand for web-based learning platforms among academic institutes including schools and universities are expected to favor market growth during the forecast period. The trend for e-learning, provoked by online educational platforms, pushed many private educational institutions online as well. So today the majority of language courses, photography courses, business courses need to have a learning management system to provide students with an adequate user-friendly, web-based app. 

E-learning systems for Government & Public should ensure that all public institutions have up-to-date learning management systems that can guarantee a non-stop educational process. It is basic for the public sector to have a training system for the personnel

E-learning systems for Pharma/Healthcare have an extensive amount of materials for training for new employees. To make the onboarding period easier and more comfortable, phrama/helathcare businesses need to ensure a hands-on training course.

E-learning for the Manufacturing sector long and over-complicated educational processes that often demand the online presence of the mentor and the learner. This approach does not pay off in modern circumstances: training has to fast, effective, and replicable under any circumstances.
AR/MR-based interactive guidelines are the possibility to receive interactive training and consulting using telepresence and digital content. What does it mean exactly?

Optimizing training on the enterprise level, giving non-governmental organizations a tool for the continuous learning process, decreasing support costs: this all is about knowledge management systems. They are supposed to serve as a knowledge base of the most important, vital, and critical business information for the company.  A knowledge management system is created to save employees’ time and the company’s resources. 

Middle+ MS Dynamics Developer

Requirements:

  • At least 1.5+ year experience with Microsoft CRM Dynamics;
  • Strong .NET/C# development skills;
  • Good written and oral English. At least Upper-Intermediate English;
  • Experience with source control system (GIT);
  • Experience with XML-RPC, REST, SOAP and other web services;
  • Strong analytical and problem solving skills.

Desired:

  • Microsoft Azure.

Responsibilities:

  • The customer is an American travel company.
  • Initially, you need to continue customizing Microsoft Dynamics CRM (version 8.2 on-premisis), then the Customer plans to migrate to Dynamics 365 Online and continue to customize CRM.
  • Periodically, you need to communicate directly with CTO of the American company and the team!

Friendly team

Innovative projects

Convenient environment

Development & career

Flexible hours

Competitive salary

5 Reasons Why VR Has No Rivals For Emergency Training

How would you react in an emergency? Virtual reality simulation could show your realistic response and help provide efficient scenario-based training for employees. For example, it can simulate the perception of sight, smell, and temperature to check how you and your employees would behave in case of fire, flood, or emergency evacuation. 

Before discussing what VR training solutions can be used for emergency training, let’s find out what VR is. 

About VR Technologies in Short 

VR or Virtual Reality technologies have been around for a while. In fact, the technology idea dates back to the 1960s, but only in the last five years, it became available with just a smartphone and a VR headset. 

The term VR is a part of a much broader notion called Extended Reality (or just XR). And VR is used to denote a three-dimensional computer-generated environment that people can interact with. In other words, a person becomes a part of this virtual world, and while immersed within this environment, one can manipulate objects or perform actions.

The combination of hardware, sensors, and software helps achieve a sense of presence where the subject (i.e. your employees) feels and acts like they are present in that environment. 

There are many types of VR systems, but they all have the same characteristics, such as the ability to show life-sized, three-dimensional images. The following images change as the person moves. It helps join the head and eye movements to create a virtual and realistic environment. And tricking the human brain isn’t that easy, is it?

How VR Apps Interact With Users? 

To immerse people into virtual reality, VR needs several devices, including a headset, smartphone or computer, and in some cases an additional device to track motion. 

There are several ways VR interacts with users:

  • Tracks your head 

VR headsets come loaded with head motion trackers to follow the movements of your head and help recreate a more realistic environment. It takes advantage of gyroscope, accelerometer, and motion controllers. 

  • Tracks your eyes 

Headsets are equipped with a particular controller to track the movement of your eyes while you’re in the VR environment. Eye-tracking helps to get a more immense and realistic field of view since the picture changes according to the direction of your eyes

  • Tracks your motions 

When implemented, motion tracking added some additional value to the VR experience and brought it to a totally new level. Most of the headsets are equipped with cameras and body sensors to follow your movements. That creates an unforgettable experience since you can look around and move around as if everything is real

Craig Fugate about Emergency Training - Softengi

Where VR Technologies Are Used 

VR has the potential to make new discoveries and play the devil with our everyday lives. VR has no rivals when it comes to doing something that is too expensive or dangerous in the real world. 

  • Education. VR training to get certain skills (pilots, firefighters, surgeons, etc.)
  • Science. VR can visualize the research results or carry out any tests. 
  • Medicine. With VR technologies, doctors can easily monitor, diagnose, and train for emergency situations.
  • Gaming. VR creates interactive experiences to drive more engagement.
  • Architecture. Thanks to VR technologies, architects can visualize how the city will look like in a few years, and designers can help redecorate your flat and show how it’ll be without spending a dime. 

Check out VR Training to find out how your business may benefit from VR technologies. 

Why VR Is the Best Solution for Emergency Response Training

VR technologies allow for recreating risky and dangerous situations in a safe environment and facilitate the decision-making process under pressure. Nearly 60% of employees in the US didn’t practice what to do in a disaster by taking part in a disaster drill or preparedness exercise at work, according to FEMA. This is despite the fact that 80% of the US is prone to weather-related disasters. 

Five reasons why VR is the best solution for emergency response training

  • Replica of realistic emergencies
  • Train more employees at the same time 
  • Safe way to get ready for risky situations 
  • Increase employee engagement 
  • No training needed to use VR-powered solutions for scenario training 
Reasons why VR is the best solution for Emergency Training - Softengi

In short, VR safety training helps practice the skills that people need when it comes to saving themselves in any type of emergencies. It allows for getting ready for any emergency and learning well how to behave. 

VR training programs come fully loaded with dozens of emergency scenarios that may happen during flood or fire. Moreover, 3-d environments are created with 100% accuracy and depict specific objects, cities, areas, etc. And the primary reason for choosing VR for training is its cost-effectiveness since the VR training simulator solutions can be used more than once. Trainees can go through a particular scenario training as many times as they need without spending additional costs. You can use modules for VR training experience anytime and anywhere you need them.

VR Benefits for Scenario-Based Training 

VR can be used to get ready for disasters in a vast number of ways. For example, people are immersed in a computer-generated environment to get advanced tactical training and learn how to save themselves long before the problem strikes. 

VR helps show not only the safest ways to leave the building but also facilitates critical thinking that plays an important role in emergency situations. 

Major Benefits of Virtual Reality in Training for Disaster 

  • It’s safe 

VR allows for practicing real-life skills without dicing with death. 

  • It’s custom-tailored to your needs 

VR agencies can create any environment you need – create geo-specific environments,  depict your office, infrastructure, etc. 

  • It’s cost-effective 

It’s much cheaper to use VR-based disaster training modules than recreate emergencies for your employees anytime you’re holding a fire drill. 

  • It’s scalable 

Your VR training software is easily scalable. So you can easily train 10 or 100+ employees at the same cost. 

Government Agencies Are Already Using VR Technologies: 

  • The US. Department of Homeland Security 
  • Centres for Disease Сontrol and Prevention 
  • National Institutes of Health 
  • National Science Foundation 

Emergency Scenarios for VR Training

VR can easily reproduce any type of emergency scenarios from fires to plane crashes. The software can rebuild the emergency picture with 100% accuracy. Here’s a full list of emergency situations where VR training can come in handy:

  • Fires 

It’s the most widespread scenario for VR disaster training. VR can reproduce fire, smoke, and your feeling during the fire.

  • Road crashes

VR can easily build any type of road accident depending on the number and types of vehicles (cars, bikes, vehicles transporting dangerous liquids, etc.).

  • Public order

Police forces can also benefit from VR technologies. The software can reproduce the situations of public disorders and help train police officers to manage them.

  • Chemical incidents

The following type of emergencies imparts the highest hazard level. With the additional equipment like masks and detectors, your employees will get a more realistic environment.

  • Other emergencies 

You can also use VR technologies to train your employees on how to behave during floods, earthquakes, storms, tornadoes, etc.

All in All 

VR creates additional opportunities to train and teach your employees what to do in case of an emergency. Take advantage of the VR world to save costs for fire drills and get your employees well-educated.

VR-powered apps for emergency training gamify the ever-boring emergency lectures and facilitate the learning process. Thus, your employees won’t miss any VR scenario-based training because it’s fun.

Mixed Reality (MR)

Some perks of using Mixed Reality (MR)

1.Remote Experts 

Using 3D projections and simulations allows experts to address most of the support requests from on-field employees. In essence, if employees face, for instance, a problem with complex heavy equipment at a location that is hard to reach, they can send to a remote expert a video feed of what they view, so the expert can annotate the 3D displayed on MR-based headset to direct the task. 

2.Training Programs

With VR onboarding and training programs can be much effective and engaging. Simulated products and overplayed information about products in the context of the real world provide an immersive experience for users, thereby enhancing their ability to learn and take the information. Trainees can interact with 3D projections, exploring them from all angles. 

3.Virtual Prototyping 

Implementing VR-powered prototyping solutions can help producers better simulate their products in terms of volume, size, and shape. Using VR embedding, engineers can directly interact with the virtual prototypes and get a better view of all its systems, which enables them to detect conception errors at an earlier stage. 

Virtual Reality (VR)

Some perks of using Virtual Reality (VR)

1.Efficient Recruitment 

The VR technology has found its use in the Talent Acquisition, making the recruitment process more efficient. With its ability to provide the artificially created reality, VR can offer recruiters an environment, in which they will be able to asses potential hires much more effectively. 

2. Effective Product Prototypes 

Using VR, companies can better visualize and design their products. Created in the virtual reality, prototypes of products can be better analyzed, assessed, and designed. As a result, companies can detect design flaws sooner, therefore avoiding post-production complications. 

3.Enhanced Collaboration 

With VR, companies can easily bridge the global communication gap between their employees, reducing the number of travel trips and the need for employee relocations. VR-powered technology enables companies to successfully conduct virtual meetings across workers spread across the world. 

Augmented Reality (AR)

Some perks of using Augmented Reality

1.     3D-Modeling 

AR has found its use in modeling and design processes. Whether building or designing small or a large product like a facility or a car, a prototype has to be developed firstly. With AR technology, companies can build a virtual prototype, which can be viewed in the real environment. Such 3D-powered models can be a useful tool to test customer acceptance as well as different format options before spending a large amount of money on a failed product. 

2.     Remote Assistance

The AR technology allows professionals, who are unable to be present on site, to provide remote consulting to inexperienced field workers in real time, thereby significantly decreasing expenses on subject matter experts. Seeing the 3D representations of field objects, the professionals can guide field employees through troubleshooting processes. 

3.     Trainings and Learning

The AR capabilities have proven to be also effective in the educational realm. Employee trainings based on AR are much more effective and take less time. By adding virtual elements like sound and video to existed real objects, employees are provided with all needed information right on the field, thereby they are able to get a better understanding of operational processes, heavy equipment and/or company’s daily workflow.

Three Steps to Classify Your Financial Data

A vast majority of financial institutions run into the same problem every day: how to handle piles of papers and gigabytes of exchanged documents. Such data is often left unorganized and unstructured. In order to make use of it, one has to classify it. Data classification makes it easier to locate, retrieve, and use data. It becomes crucial when it comes to compliance, data security, legal discovery, and risk management. 

What is data mining, and why does it matter?

Data mining is all about analyzing data from various angles and extracting useful information for future actions. It helps store, process, and analyze massive amounts of raw data. The following technology utilizes machine learning, pattern recognition, statistics, visualization, as well as databases to extract and process data. Data mining is said to be the most powerful tool for business optimization. 

Financial data analysis is widely used in a vast majority of financial and banking institutes for accurate analysis of consumer data to reduce the manual errors, find defaulters, for fast processing, to classify the customers, and reduce the loss of the financial institutions.  

Data mining is widely used in the banking sector to tackle the following problems:

  • Credit card fraud detection
  • Loans and mortgage decisions 
  • Marketing 
  • Loyalty programs 
  • Customer retention

Introduction to data mining to find out how to use data mining for your business 

What is data classification?

Data classification is all about organizing crucial business information. It’s a set of processes aimed at managing data by categories and tags. Only well-categorized data can be more efficiently used across the company for risk management, legal discovery, and compliance processes. 

Organized data allows enterprises to identify the business value of unsorted data, make use of important information, and make well-informed decisions. Information is divided into predefined groups sharing a common risk and properly secured. Successful data classification applies the security controls to a set of data. It also helps companies meet regulatory requirements – such as those within the GDPR in Europe or FINRA in the US. 

Before Machine Learning, data classification was a user-driven process, but nowadays, enterprises can automate data classification processes. But with automated data classification tools, it becomes much easier to categorize any data. First, you need to determine the categories and criteria for data classification, define and understand its objectives, redefine the roles and responsibilities of employees, and implement required security standards. 

Benefits of data classification for the financial sector

Proper data classification helps improve both regulatory compliance and data security. Here’s how your company may benefit from implementing data classification tools:

  • Better manage the high volumes of sensitive information  

Thanks to sophisticated technologies, users can quickly process and classify large amounts of data. 

  • Organize and track crucial data 

Nearly 80% of companies have no idea of how and where they store their sensitive data. With a proper data classification system, you get an easily accessible, but well-protected data from any leaks. 

  • Detect abnormal activity

 Neural networks are well-trained to detect any abnormalities in data classification. 

  • Optimal use of resources while reducing useless costs

Having determined the importance of different data types, you can focus on data that should be protected at all costs without wasting your resources on less critical or non-critical data. 

  • Error-free data classification  

Machine learning technologies help process large amounts of financial data and classify it while minimizing human errors. 

  • Make it easier to comply with regulatory mandates 

There are particular frameworks like SEC, FINRA, and GDPR that you need to follow while dealing with sensitive data such as personal identifiable information and payment data. The following data type should be classified as confidential or restricted. Otherwise, some financial penalties may incur. In such a way, you protect sensitive data from being disclosed without authorization or transmitted through unprotected or unencrypted channels. 

Classification in data mining is a cumbersome and quite complex process. But when implemented properly, it can become a crucial framework to store, transmit, and retrieve data for employees and any third-parties. 

Why it’s better to classify your data 

A properly planned data classification system makes crucial data easy to track and manipulate. That’s the primary reason why you should organize your data. The most common goals include but aren’t limited to the following according to Data Classification for Cloud Readiness by Microsoft:

  • Security. A classification system should value confidentiality above other attributes and focus on security measures, including encryption and user permissions, to protect any sensitive information. Security and confidentiality are of particular importance when it comes to financial records. 
  • Data integrity. Your system should assure the accuracy and consistency of data over its entire life-cycle. 
  • Data availability. All the data should always be accessible when and where needed within the company’s IT infrastructure. The reality is that when your data isn’t accessible when needed, it’s worthless. 
Key reasons to classify data - Softengi

Data classification ensures that a company follows all internal and external (including company, local, and federal) guidelines for data handling and maximizes data security. 

Types of data levels and classification 

Data classification is quite a complex process involving a multitude of labels and tags to denote its type, confidentiality, and integrity. Data’s security is often classified according to its levels of importance and confidentiality. Hence, data categories are linked with the security measures required to protect the data from leaks.

There are dozens of ways to categorize your data, but the most common classification levels are stated as follows – public, private or internal, confidential, and restricted. 

Three main types of data classification

  • Data classification system based on content scans the data and looks for sensitive information.
  • Data classification system based on context takes into account apps, locations, and creators while classifying sensitive information.
  • Data classification system based on users analyzes users’ interactions with documents  to tag sensitive information. 

Three steps to effective data classification 

In most cases, not all data needs to be organized and stored, and in some cases, it’s even better to delete it. And the data you want to be classified will go through a 3-step process:

  • Scan. Take your entire database and turn it into digital to start classifying and organizing your data. 
  • Identify. Define data types, label them and make the information searchable and sortable.
  • Separate. As soon as the data is categorized with a system, it can be easily separated by the predefined categories. 
Three steps to effective data classification Softengi

Summing up 

Data classification helps financial and banking institutes secure their sensitive information, but still, make it easy to retrieve it. Also, it reduces the likability of unorganized crucial information becoming vulnerable to hackers, and it helps cut down useless costs for data storage since storing large amounts of unstructured information costs a pretty penny. 

And with a Data Classification Solution, you’ll be able to tag and classify data as well as to detect any abnormal activity in a few clicks. Taking advantage of AI and ML technologies, you’ll reduce the chances of human errors and triple your productivity.

Platform Development for a Biotech Company ADAM

Is it possible to print bones on a 3D printer? It will be possible soon.

The main goal of the cooperation between Softengi and ADAM was the development of the innovative and secure digital platform for keeping personal medical testing results in the specialized cloud storage. In case of emergency,  competent medical service providers could use the information from the platform for recovering damaged body parts and functions.

In other words,  the clients of the innovative biotech company ADAM receive a unique chance to back up their skeleton in case they will need restoration for further 3D printing. Revolutionary approach, isn’t it? 

A.D.A.M. addressed Softengi with the intent of the platform development for data preservation and usage, and we’ve managed to meet their needs and provide them with tangible results. 

Major Goals of the Development:

  • The major goal of the partnership with Softengi was the development of a cloud service and a user-friendly interface for storing personal medical testing results saved utilizing DICOM protocol (Digital Imaging and Communications in Medicine).DICOM data is to be processed and analyzed in a depersonalized manner for bone implants 3d printing technology testing and development.
User-friendly interface for medical images storing developed by Softengi
User-friendly interface for medical images storing developed by Softengi
  • Another important goal was the possibility to download data in DICOM format freely in order to process the information form these images. DICOM (Digital Imaging and Communications in Medicine) is the most common digital imaging format for medical images, and the platforms allow reading DICOM files for avatar visualization and secure store. 
  • Provide each ADAM user with the vision of his actual body backup in the form of an attractive virtual avatar in 3D. 
  • A third major goal concerned security, and it included compliance with GDPP, HIPPA regulations, and the “right to be forgotten.” Secure and GDPR-compliant storage of the information was another important goal of the project. ADAM also wanted to help its users to visualize data with the help of a body avatar in a web application to get an engaging overview of my medical data integrity. 
Virtual avatar for body parts visualization developed  by Softengi
Virtual avatar for body parts visualization

The Result of the Cooperation

Softengi developed an intuitive platform for the preservation of medical images and their visualization for further 3D printing of bone implants.

For users, ADAM platform is an intuitive web application built on the basis of ReactJS for frontend and Heroku for the backend.

Softengi implemented a number of architectural steps, such as privacy documents acquaintance and consent/denial procedures, TSL/SSL protocols implementation,  encryption of the sensitive information in order to meet the security requirements of the ADAM platform.  In the case of working with such sensitive information as medical information security comes first.

Salesforce Commerce Cloud

Some perks of using Salesforce Commerce Cloud:

  • Empowerment of Sales Team

Applying Salesforce Commerce Cloud helps sales teams to gain valuable insights into customer preferences in order to tailor sales strategies to customer needs and desires. Giving access to customer data, Salesforce boosts sales by making purchasing recommendations personalized to each customer.

  • Enhancement of a CRM System

Customer Relationship Management is one of the most complex aspects of every business. Salesforce Cloud solution helps companies more effectively manage communication and interaction with current and potential customers, guiding them along the most appropriate path.

  • Extension of Digital Commerce Into Stores

With omnichannel Salesforce approach, Salesforce can help retailers to provide a compelling digital shopping experience for consumers. Leveraging customer data from marketing and sales, the Salesforce platform is able to engage with buyers at any digital touchpoint.

Deep Learning

Some perks of using Deep Learning:

  • Utilization of Unstructured Data

Not all data are accurately structured to be trained on, conversely, they are mostly unstructured and exist in different format types. Traditional Machine Learning systems are not as effective as deep learning ones in the utilization of various formats. Using neural networks allow Deep Learning to reveal any existing relations between various data types, for instance, social media chatters, company reports, and industry analysis.

  • No Need for Feature Engineering

Deep Learning is able to create new features on its own. Previously companies always needed a data scientist to perform feature engineering, the process of extracting features from raw data to better understand occurred problems. With the help of Deep Learning, software systems can effectively find patterns that correlate and combine them to enable faster learning without explicitly being programmed.

  • No Need for Data Labeling

Most innovative applications depend on labelled data. Data Labeling, the process of the manual curation of data, can be expensive and time-consuming. Applying Deep Learning, companies do not need to spend their resources on labelling data, as Deep Learning does this in a fully automated way.

Big Data

Some perks of using Big Data :

  • Market Monitoring

Gathering information from million data sources, Big Data systems can gain real-time insights about current market changes and upcoming trends, thus providing companies with a better understanding of market conditions. As a result, companies can adjust their services and products to customer needs, get ahead of competitors and find new growth opportunities.

  • Decision-making

With ever-increasing data storage and computing power, Big Data allows companies to embrace data-driven decision making, responding swiftly to occurred problems. Through real-time gathering, recommendations and assessments, companies are able to make more informed and effective decisions.

  • Customer Service

A customer’s experience is vitally important to the company growth, however, without data-driven insights to make informed decisions, it can prove to be very difficult to improve and progress. A Big Data-based system allows companies to analyze customer experience more efficiently, promoting brand loyalty, customer retention and engagement. Social media and CRM systems offer a large amount of information, that can give insights into obstacles in the current customer journey, providing users with the chance to minimize or eliminate them.

WebGL

Some perks of using WebGL:

  • Data Visualization

WebGL allows to develop complex visualization based on available data, distilling large datasets into visual graphics in order to allow easy understanding of complex relationships within the data. Realism of 3D will represent visualizations in all angles, hence providing both qualitative and quantitative information about an object.

  • Cross-Platform Development

The users of WebGL aren’t confined to any single platform. Developed applications can be rendered across many platforms such as mobile devices, desktops, console as well as TV.

  • Interactive Content

Developing 2D and 3D objects with WebGL, users create interactive content for their applications. Softengi developers understand lighting techniques and how it affects colours and can bring out a realistic presentation using WebGL.

Benefits of using IoT:

IoT technology expands the possibilities of any business by providing it with the most valuable asset: real-time accurate data. Collecting and analyzing data gives companies control over any process, equipment or the environment.

  • High quality of delivered solutions is characterized primarily by data security. IoT technology provides a high level of information security thanks to end-to-end security mechanisms: all connections are protected by TLS, users are authenticated, all data is filtered using ACLs, MQTT message authorization is applied based on topics, security audit logs are stored in a DBMS with time stamps.
  • IoT-powered technologies offer applications management, data processing, as well as data analytics, which allow companies to gain a better understanding of the input, output and real-time performances of their systems.
  • Innovative technologies offer a higher level of safety for business owners. Wearable IoT devices can assure that employees are safe and secured while working in and out of the office.
  • By implementing smart management, business leaders can optimize single as well as complex operational processes, therefore enhancing effectiveness, product quality as well as operational uptime.

Machine Learning Data Classification

Some additional perks of using Machine Learning Data Classification:

  • Data security: the use of Azure eliminates the possibility of information leaks and keeps data safe.

  • Quick processing: modern technologies on which the Solution is based allow you to quickly process and classify large amounts of data.

  • Error reduction: thanks to automatic processing and classification of data using machine learning, the likelihood of human error is eliminated.

Senior Business/System Analyst

Requirements:

  • Knowledge of methodology, analysis and formalization requirements at least 5-years;
  • Experience in building integration solutions from 2 years;
  • Experience in system analysis from 3 years ;
  • Experience in management of requirements in large international projects;
  • Understanding of relational / non-relational databases;
  • Deep understanding of the server architecture client ;
  • Skills in using modern business analysis tools (Visio, Business Studio, Axure, Sigma, Balsamiq) ;
  • Knowledge of any modeling notation (BPMN, IDEF, UML) ;
  • Knowledge of SOAP, XML, preferably Groovy (or Java) ;
  • Knowledge of management software (JIRA, TFS, Redmine) ;
  • Attentiveness;
  • Quick learning;
  • Ability to handle large amounts of information.
  • Camunda BPM knowledge (must have);

Desired:

  • Knowledge of banking processes, technologies, products;
  • Knowledge of modern methodologies of information systems development (Scrum / Agile, WF) .

Responsibilities:

  • The Business / System Analyst will be working for the project “New Middle / Back End Layer Online Banking Services.  Will make online banking transactions: deposit /payments.

New Web Portal in Our Execution: Document Management Software for the MBA School

MIM, the oldest and the biggest MBA School in Ukraine, addressed Softengi with the intent to receive digital consulting services regarding the transformation of an old school web portal for scheduling and information.

The system MIM was using for scheduling could no longer meet the requirements of the staff: the number of students was growing which affected the workload of the teachers as well. The amount of information for the teachers’ department was also growing, and the IT team needed to define how to make this information more accessible and more reliable for everyone.

At this point, Softengi started cooperating with MIM with the intent of building a reliable web portal application that could improve the operational workflow for MIM in a convenient form.

Employee Scheduling Software for the biggest MBA School in Ukraine
Scheduling System for the biggest MBA School in Ukraine

What did MIM get as a result of the 3-month cooperation with the Softengi team?

  • An in-school smart scheduling and information system that met the requirements of the MIM team was the result of a cooperation between Softengi and MIM. First, it is a unified list of teachers, rooms, programs, courses, groups with the editing possibility and open access to the chosen list of participants. All the information is now structured smartly, carefully, and logically and thus can be accessed faster via the text search.
  • Second, it is a secure system with authorized access from any part of the world. The validation of the data is automatic which excludes the human factor at the stage of the data entry. The system prohibits last month’s updates; notifications are received by the admin system if the information is updated. Thus, the system is secure which is absolutely important for the MBA school as they are obliged to guarantee the security of the information of all the students.
  • Finally, the system allows creating monthly workload and payroll reports automatically, which saves a lot of time for the team. These reports can also be exported to more suitable formats, such as excel or HTML. All in all, it is a scheduling and information system that augments the work of the whole personnel of the biggest MBA business school making it more accurate and error-free.

From a technical perspective, Softengi developed an open-source solution using JavaScript and PostgreSQL.

The system was also updated with the secure survey system which allows collecting valuable information from the questionnaires.

The CIO of MIM, Roman Yaroshenko, marked that ” The solution of employee scheduling software met the expectations of the internal team. Softengi establishes a smooth workflow to ensure effective communication between teams. The team is creative, hard-working, and professional. “

Most educational institutions, NGOs, and SMEs businesses that have an internal learning system benefit from the information systematization that is why the demand for the employee scheduling software as well as appointment scheduling software is on the rise.

Smart Retail. AI Technology Is In Charge

“AI will be integral to virtually every process that retailers employ to run their businesses.  Smart Retail is moving from plan-to-execution model to. A sense-and-respond model.  That would be impossible without the decision automation that AI enables.”
Brian Kilcourse, Managing Partner at RSR Research

The retail industry is experiencing tremendous growth across most industries. Despite positive business performances across the whole segment, it is not easy for many retailers to maintain their positions in the highly competitive market. Today, a great many of medium and small players are rapidly changing their positions on the market, which in many cases leads to financial losses. Conversely, large enterprises are more stable in the market as they possess a great capital to spend on highly qualified teams and cutting-edge technologies, that enables large enterprises to stay ahead. Top-notch technologies such as Artificial Intelligence enables retailers to effectively run their business, providing its clients with better services and more personalized experiences. 

Based on our ten years of experience in the business transformation, we will tell you how to properly implement Artificial Intelligence (AI) in Retail.

85 percent of the demand forecasting process will be trusted to AI

Implementing AI in Smart Retail

In order to successfully implement AI in business processes retail companies have to have a good understanding of expertise in Artificial Intelligence technology in order to define the most relevant one. Big retail whales such as Amazon and Walmart, manage highly trained and thus highly expensive IT teams that are responsible for applying top-notch IT technologies and cutting-edge IT solutions. By contrast,  medium and small retail companies turn to third-party vendors -outsourcing companies, like Softengi, that maximize the use of resources, both time and money.

The main merit of AI is the automation of information processing in various business processes. We will give you only the main operational areas where applying AI systems deliver the greatest result.

Machine Learning 

No one is surprised that any business, and especially the most complex one, has to skillfully handle large sets of data. As today’s retail generates a large amount of data, and the traditional data-related methods and  data analytics tools are no longer able to cope with the processing of such a layer of information, machine learning comes to the rescue.

Machine learning is not only able to process data faster and detect the slightest deviations unnoticed by humans. , but also learn by itself on the basis of customer data. It is able to automatically learn valuable behavioural information about users and customers, analyze it and provide a unique experience to a particular customer.

Additionally, machine learning allows retail companies to predict the customer buying behaviour, offer the right delivery way, optimize the content on a separate device and even adjust the best time to communicate with the client.

Forecasts

Forecasting is an important part of the development strategy. Every AI-powered forecast is based on the analysis of historical data on a specific aspect, for example, sales, staffing, procurement, profit, loss, etc. Each forecast is adjusted according to seasonal trends, geographical location, reviews, and other factors. Even the dozens of specialists cannot cope with the constantly growing amount of data and the degree of their complexity using ordinary analytical methods. Indeed, the current conditions of the retail market sometimes require real-time forecasts. AI technology is able to make highly accurate forecasts based on real-time data and thereby increase the cost-effectiveness of specific retail processes. While you may doubt whether you need to use AI for forecasting, retailers on average about 85 percent of the demand forecasting process will be trusted to AI in their businesses. If you do not want to stay behind, resort to AI.  

Marketing

The customer journey has become longer and harder to manage for companies. Today’s marketing has to be able to adapt to the demanding customer preferences. A marketing team requires up-to-date information on customer needs and behaviour, a well-thought-out strategy based on high-quality forecasts and, of course, AI-driven automated methods to achieve its goals. Due to a huge amount of information that needs to be processed, marketers turn to AI. In particular, AI allows them to create a highly personalized approach to clients, a narrower segmentation of their customers, and automated identification of new consumer’ behaviour lines and desires from the collected information. According to statistics, AI adoption by marketers has grown by 44% since 2017.

Personalized offer

Manufacturing

AI is widely applied not only in invisible data processing but also even in such an aspect of smart retail as manufacturing. Obviously we are talking about robots. Almost all motor skills, in theory, can be replaced by robots. An employee at the plants only sets tasks, adjusts settings and repair in the event of a breakdown. Implementation of robots enables companies to reduce production time, operational costs and expensive human labour resources as well as the cost of the product. Well-known companies Adidas and Nike can serve as good examples of successful deployment of robots in business. With the help of a Start-up called Grabit Nike robots create top of the shoes 20 times faster than a human employee would do. 

CRM

We can confidently state that smart and high-quality CRM is a must-have in smart retail. However, a truly good CRM system can be an expensive solution for many companies. We have figured out an effective and affordable alternative the powerful platforms based on the SAS model offered by Salesforce allow to develop effective applications with significantly save the retailer’s money

As a Salesforce partner and a company that has been engaged in business transformation for 10 years, we can claim that  implementation of CRM systems is a seamless process. 

With the AI capabilities,  integration of natural language learning (NLP) technology in CRM systems without prejudice to other systems. Moreover, applying NLP technology allows a CRM system to directly respond to the requests of customers, for example, in voice chats, as well as to solve problems and resolve conflicts without human interventions.

Logistics

 Logistics is one of the most important segments in the retail industry. In order to run smoothly, retailers have to turn to cutting-edge solutions offered by the IT industry. If potential customers can not find a needed or desired product on a shelf, they mostly never come back to that provider again. Especially if customers come to the store for a particular product and can not find it, and even if there are a hundred more similar products on shelves they will feel disappointed with a retailer. Logistics is really a critical aspect of the retail business pivotal to the company’s success. As the logistics segment generates a lot of data about types of products, brand, time and place of shipment, occupancy and quantity of transport needed, etc.

Speed ​​and reliability of delivery are those factors that determine the effectiveness of a retail business. Disruptions and errors in distributing often occur due to unforeseen circumstances, such as weather conditions, customs problems, human factors vehicle breakdowns.

The combination of AI and a user-friendly interface in a software application can enhance logistics processes, making them more transparent and reliable. AI-based technology allows to quickly and accurately process data on all current deliveries, detecting anomalies and making predictions about future results. One of the main features of AI is a real-time data processing, which allows companies to keep updated. For instance, if a storm warning is issued, the AI system will notify users and adjust logistics processes and operations in accordance to the warning.  

Additionally, AI in logistics allows companies to promptly process the data from numerous devices, connected by the Internet of Things (IoT) technology, which  a lot of traction in retail.

Delivery

Talking about a good delivery, we often imply three main points: speed, reasonable price and reliability. These three points mostly determine an excellent delivery service and a great brand reputation. For modern customers,  speed of delivery is the paramount factor. 16% of people will leave the cart if the delivery time is slow. However, it is not an easy task for a retailer to maintain high-quality service on par with high delivery speed.  With the capabilities of AI allows to coordinate delivery operations as efficiently and quickly as possible.

people will leave the cart if the delivery time is slow

For instance, having more than one delivery window, the AI ​​system can even change the route without operator intervention.

As for the delivery price, it is more complicated. After all, the cost of delivery depends on two factors: the density of the delivery route – how many orders can be delivered for a certain delivery period, and the size orders – how many orders are delivered at each stop. AI systems  quickly calculate orders, choose an optimal route as well as an order amount that can be taken at once.

Delivery reliability is another key element for retail success.  If a retail company is not yet able to afford a decent delivery system, then it has to turn to reliable third-party vendors. However, if customers encounter poor delivery, they will associate it with the retail company and not with company’s delivery partners.

Bond With Customer

As the retail market becomes more competitive, companies have to find new ways to do their business more efficiently and financially well.  In order to succeed, retail companies have not only to stand out on the market, but also build close relationship to their customers, both current and potential. Advertising, newsletters, promotions,  websites have to become more personalized to successfully attract and retain customers. Personalization is one of the key features that will help companies to get ahead of the competition.

To implement a high-quality AI system, a company needs a team consisting of a marketer, a data scientist, a solution architect, developers and UX / UI specialists. Obviously, hiring such a team for full-time is an expensive and wasteful decision. A better alternative is to outsource developing of AI systems or approach a consulting company. AI technology takes company relationship with its customers to the next level. AI-driven systems process  a huge amount of customer behaviour data o, both historical and online and then provide companies with valuable insights.

In addition, as an AI systems processes customer-related data, it can better understand company’s audience and hence target it with an appealing content, analyzing customer reactions to it and making needed adjustments to the content. As a result, retail companies can create an engaging buying experience for their customers. 

Conclusion

Smart retail is the undoubted future of retail. The digital age requires a strategy and approach change in most segments of this industry. To stay ahead, retail companies need to wisely use available data, that retail companies have more than enough. AI has  potential to increase the efficiency of each chain in retail as well as enhance profitability of the whole company business. However, implementing AI technologies can cost plenty of time and money.

While you are thinking about whether you need smart retail, your competitors might be already implementing it in their business, making a huge profit. According to the Capgemini Research Institute, 25% of the world’s 250 leading retailers are already integrating AI into their organizations. Do not miss the opportunity to fall into this 25 percent and start transforming your retail into smart retail. Softengi, with 10 years of experience in digital business transformation, is ready to help you to successfully implement AI tools and prove that exactly AI will be cause of your future growth.

Digital Twins (AR)


Some additional perks of using digital twins:

There is deep and ultra-precise reproduction of the object.Today, using CAD, CAM sketches we can create 100% accurate digital replicas of any piece of equipment paying attention to the smallest details.

Digital Twins technology is universal for using various gadgets. It’s possible to adapt a 3D model to AR application for mobile phones and tablets or MR application for HoloLens thanks to the identical code.

All digital twins are interactive. A user can examine a piece of equipment from all the angles, touch it and move some of its parts, he/she can listen to the equipment working!

A high degree of immersion in the process of work. Photorealism of the equipment and the ability to see it in a full size ( all the models can be scaled) contribute to the realistic perception and full immersion of the potential client into the process of exploration.

Using a remote assistant, a company can conduct real-time consultations with leading experts, as well as transmit visual annotations.

Using a remote assistant, a company can conduct real-time consultations with leading experts, as well as transmit visual annotations.

Using a digital twin, you can familiarize yourself with all the features of the equipment before purchasing it. Digital twins are interactive, the user can actively interact with them at all levels.

Applying AI in healthcare, we increase the speed of data processing and automate processes, it allows doctors to pay attention to more patients.

We have experience in developing telemedicine software and voice controller software, which make it possible to receive qualified medical care anywhere in the world.

With the help of voice recognition app, the doctors are able to accept one third more patients.

Creating supply chain management software eliminates middlemen and reduces costs by 5-15%.

Using computer vision algorithms, our experts are developing optical character recognition for countless logistics documents.

Our team is represented by diverse specialists, which allows us to create truly smart logistics.

The use of IoT in agriculture on your fields and smart greenhouses will allow for continuous monitoring of selected parameters.

Reduce the cost of fertilizer and chemicals, total savings can reach up to 30 percent with the help of smart farming.

Advantages due to reduced spray overlap because of smart HVAC systems typically accounted for about 10% of spray cost savings.

Seamless integration with existing business process automation systems because of using AI in finance.

Blockchain in banking gives a possibility to create a unique сustom system for any needs with reliable security protocol.

Analyze data to improve forecast accuracy and a deep understanding of the data with the help of financial software solutions.

Huge experience in machine learning data classification for the public sector: utilization of top-notch data science tools for sensitive data.

Attentive approach to security issues: adherence to all international protocols of data protection with the help of blockchain in government.

Seamless integration with existing state process automation systems because of using data governance software.

Augmented, virtual and mixed reality has enormous potential for the construction industry. Visualization of the objects to-be-built is just one of them.

We know how to transform any environment into a smart space using the Internet of Things.

Internet of Things solutions and risk management software can reduce risks at construction up to 14%.

Retailers have the chance to optimize operational costs by up to 48% using smart spaces, smart shelves and smart logistics.

E-commerce reaps rich benefits from gamification in retail, augmented reality in e-commerce and personalization in retail.

Control and regulation over all the processes with the help of e-commerce platforms and retail management software.

Control and regulation over all the processes with the help of user-friendly web/mobile apps, on-line analytics.

Increasing sales by up to 100% using AI and XR for customer segmentation, engagement, and retention.

Reducing operational costs by up to 48% with smart warehouses, intuitive e-commerce platforms.

Increasing customer loyalty through sustainable energy solutions that become real thanks to the renewable energy industry and smart metering.

Increasing productivity by up to 17% by using smart metering sensors.

Control and regulation over all the processes with the help of energy management software, on-line analytics with the help of IoT sensors.

Reducing operational costs by up to 48% with intuitive e-commerce platforms and product configurator.

Increasing sales by up to 100% using AI and XR for customer segmentation, engagement, and retention. VR education and AR education is a perfect example.

Control and regulation over all the processes with the help of user-friendly web/mobile apps, on-line analytics and ad tech solutions.

Blockchain in Real Estate

If you think the real estate industry has frozen in time and the coming digital changes will bypass it, you cannot be more wrong. The blockchain in real estate proves that without applying the latest technologies you will lose your credibility in the market and customers.

Digital transformation and technology innovations have already reached the real estate market. This industry, which had been long considered an adversary of all innovations and digital changes, has given in and has welcomed cutting-edge tech solutions. According to Statista, the global revenue of Proptech companies has been constantly growing since 2012, reaching , $18 billion U.S. dollars in 2018. Another statistics portal, Blue Future Partners reports that investment in real estate tech rose from $33 Million in 2010 to over $5 billion in 2017. The tendency is clear: tech innovations are disrupting the real estate industry. 

If you ask our team to name the most functional digital technology to apply in the real estate market, you will get an immediate response – Blockchain and blockchain-based systems. Below you will find detailed answers to such questions as how blockchain works, what benefits it provides for those who work or whose interests are connected with the real estate sector.

An article on how blockchain copes with the problem of the distribution of excess energy from renewable energy sources.

Blockchain in Real Estate and Why It Is So Revolutionary 

Blockchain is often referred to as “the new technology of trust”. With all notorious data breaches, digital frauds, and money laundry, trust is something that we all need so much in the 21st century. Applying a trustworthy blockchain database will allow you to be safe from crooks and phonies.  

Accenture defines Blockchain as “a new way of storing data in a distributed ledger that allows multiple stakeholders to confidently and securely share access to the same information.” In essence, Blockchain  isa distributed data system that anyone can join or leave at will. Sounds as nothing revolutionary? But it really is.

The most important advantage of blockchain technology is security. All information is encrypted and stored in a blockchain ledger that cannot be altered or hacked because it is managed by a cluster of computers.  

Once Again: How Does It Work

Let us consider a typical situation. A user of a blockchain-based platform requests a transaction, for instance, a payment transfer for real estate property. Firstly, the requested transaction is sent to a peer-to-peer network, which consists of a great many of computers called nods. Then, applying smart algorithms, the network of nods validates the transaction, encrypting it. Next step is to integrate the transaction with other one by creating a new block of data for the ledger. Once this block is created, it is added to the existing blockchain database. 

The blockchain in real estate - Softengi
  • A user requests a transaction.
  • This transaction is sent to peer-to-peer network of nods
  • The requested transaction is validated by the network of nodes
  • The transaction is encrypted
  • Connection with the other transaction in a new block of data
  • The newly created data block is added to the existing blockchain system

Current real estate challenges and how blockchain technology can tackle them 

Restricted access to the market 

Problem: Real estate industry has long been a sphere of business for the rich. The barriers to entry in this sphere have always been very high, with access granted only to “well-resourced” individuals and organizations. Moreover, people working in real estate have to cope with numerous requirements and fees from banks, governments and other third parties.  

Solution: Applying Blockchain allows for expensive assets to be  co-owned. Additionally, blockchain-powered systems cut out the middlemen, leading to significant cost savings. Just imagine how much you can save by eliminating third parties, such as banks, brokers and lawyers. 

Lack of transparency 

Problem: A real estate business is extremely prone to high level of corruption and dishonesty. According to the United Nations,from 800 billion to 2 trillion USD dollars is laundered globally every single year, of which the biggest part  comes from real estate operations.. According to the estimates of the United Nations this figure is in the region of $1.6 trillion per year .

Solution: Blockchain significantly increases the level of transparency, offering more transparent record keeping systems for real estate entities and assets. 

Low Transactional Speed 

Problem: Many real estate transactions are really slow. Usually it takes approximately six months to find a property and another six months to fulfill all necessary formalities and requirements. According to Juwai Chinese Consumer International Travel Survey, 56% of Chinese investors spend over one year finding their ideal US investment property. 

Solutions: As already mentioned, blockchain technology eliminates the influence of third parties, allowing direct transactions. It also helps to reduce time required for the fulfilment of formalities. Moreover, storing all the property- related data allows investors to make more informative decisions and reduce the time spent on property study. 

Here is collected information about why trusting blockchain technology is not only reliable but also materially beneficial.

Blockchain Applications for Real Estate 

The blockchain in real estate - Softengi advantages of a tokenized real estate

Smart Contracts 

Smart contracts are self-executing contracts, whose specific instructions are recorded in the form of a code placed in a blockchain network. Fully automated, they do not require manual support or maintenance. Such networks connect real estate companies with their clients in a shared system, allowing them to speed up transfer processes, simplify cross-border payments, enhance accuracy of transactions and offer most competitive prices for their services.

The blockchain in real estate - Softengi - smart contracts
  1. Instructions and Conditions are recorded in the form of a code placed in a blockchain network.
  2. The contract is self-executive once the conditions are met.
  3. Regulators use blockchain technology to keep an eye on a contract. 

Tokenization 

According to Deloitte, tokenization of assets is “ the process of issuing a blockchain token (specifically, a security token) that digitally represents a real tradable asset”.

In essence, tokenization enables property owners to issue tokens through blockchain-powered platforms. These tokens represent a certain amount of shares for real estate assets. Blockchain-based tokenization allows to exclude third parties from real estate procedures and to buy asset shares by acquiring tokens from the exchange. 

According to the World Economic Forum, in the next ten years, 10% of the world’s GDP will be stored in crypto assets.  In other words, 10 trillion USD dollar worth of assets will be stored as tokens.

Moreover, blockchain-powered tokenization has opened new avenues of fractional ownership. Now asset owners can issue their shares of assets digitally, opening the possibility for people with restricted resources to become investors. Depending on the tokenization platform, the investment buy-in requirements can be set at different levels, allowing more people to participate. As a result, this will significantly decrease the barrier to entry in real estate business and increase the liquidity of assets. 

Use Cases of Blockchain in Real Estate

Hotel Chain Hilton: Property Management 

Hotel Chain Hilton: Property Management
Hotel Chain Hilton: Property Management 

The hotel chain Hilton Worldwide has recently implemented a blockchain-driven technology in order to increase the efficiency of their hotel management by connecting the entire chain. Applying blockchain ledgers allows Hilton hotels to maintain integrated data services and provide a high level of service at a low cost. The blockchain platform allows hotels to maintain secured and trusted records of their clients across various locations and put more control into the hands of the customers, who can validate and change their personal profiles while their data remain protected and encrypted.

Alfa Bank and X5 Retail Group: Liquidity Management Service 

Russian Alfa Bank and its partner X5 Retail Group announced that they have launched  Distributed Treasury and Cash Management (DTCM), a blockchain-based customizable service. The DTCM, a Bank-as-a-Service platform allows Alfa bank clients to maintain their payments. deposit products, and loans inside the holding.

X5 Retail Group CFO Svetlana Demyashkevich said: “The experience gained jointly with Alfa-Bank and Waves Enterprise constitutes a new benchmark in our interaction with banks: we get a unified treasury application, improve data management, and cut costs and operational risks.”

Emaar Properties: Tokens 

Blockchain in Real Estate - Emaar Properties

A United Arab Emirates (UAE) real estate firm Emaar Properties has launched its own blockchain token-based platform. The platform is designed to reward Emaarclients with tokens for their loyalty and referrals. EMR tokens will not only be redeemable in Emaar’s real estate, e-commerce operations, hotels, and malls, but can also be traded with other users. 

Hadi Kabalan, Director of Tokenisation at Emaar, said: “We have an existing ecosystem and a large customer base, as well as millions of further potential users globally who have yet to discover Emaar. Our blockchain token platform positions us to grow our user engagement with today’s digital-native, mobile-first generation who expect a fairer internet and want to be part of the conversation.”

AI in Healthcare Industry

The amount of the data accumulated in the sphere of healthcare means that Machine Learning, Computer Vision, Deep Learning, Chatbots ( all the subterms of Artificial Intelligence). The most common applications of AI in healthcare are diagnosis and treatment recommendations, optimization of the administrative activities as well as patient engagement enhancement. 

Computer Software for Medical Image Analysis allows extracting the information out tons of visual data in medicine: MRIs, CTs, PETs and get valuable insights out of it. 

Biometrics Technology applications include fingerprint recognition, retina scans, facial recognition, voice recognition, DNA analysis. Biometrics technology is applicable to both security and healthcare.


Data Science for Medical data analysis. The healthcare industry accumulates enormous amounts of data: clinical research data, data from wearables, patient-generated health data (PGHD) can be the key part of continuous care delivery, especially for chronic disease management.

AI technologies circle

  • R
  • Python
  • Hadoop
  • Azure ML Services
  • AWS Sage Maker
  • TensorFlow
  • Amazon Comprehend

AI in Healthcare

The amount of the data accumulated in the sphere of healthcare means that Machine Learning, Computer Vision, Deep Learning, Chatbots ( all the subterms of Artificial Intelligence). The most common applications of AI in healthcare are diagnosis and treatment recommendations, optimization of the administrative activities as well as patient engagement enhancement. 

Computer Software for Medical Image Analysis allows extracting the information out tons of visual data in medicine: MRIs, CTs, PETs and get valuable insights out of it. 

Biometrics Technology applications include fingerprint recognition, retina scans, facial recognition, voice recognition, DNA analysis. Biometrics technology is applicable in both security and healthcare 


Data Science for Medical data analysis. The healthcare industry accumulates enormous amounts of data: clinical research data, data from wearables, patient-generated health data (PGHD) can be the key part of continuous care delivery, especially for chronic disease management.

Machine Learning

Machine learning for healthcare is the possibility to search for patterns in large data volumes.

Smart Farming: A New Challenge For R&D

Agriculture has a gigantic environmental footprint; it is concurrently causing environmental changes and is affected by these changes. Today’s topic is Smart Farming.

Sustainable farming presents a potential solution to facilitate agricultural systems to feed an increasing population within the changing environmental conditions.

Sustainability focuses on business processes and methods, rather than a specific food, fibre or feed production. It integrates financial, environmental and societal values to create a “triple bottom line” when analyzing the consequences of the business as a whole. 

This is very contrasting from a completely profit-driven strategy, where businesses avail financially but often at the expense of the environment and society. Given the limited supply of natural resources, agriculture that is ineffective or damaging to needed resources may ultimately exhaust the resources or the ability to produce them.

Everyone who participates in food production – farmers, producers, retailers, buyers play part in enhancing sustainable farming.

Various methods are commonly used for work in agriculture. Farmers use techniques to improve soil health, reduce water use, decrease pollution. Consumers and retailers interested in sustainable development are looking for valuable products. Such food is produced using methods that support the well-being of farmers. In addition, it is environmentally friendly and stimulates the local economy.

Sustainable farming links different sides of science, engineering, and communications.

Sustainable farming nowadays is more than just a bunch of methods and techniques. This is a dialogue, work on solving complex problems about how we produce food.

Background of Sustainable Farming

The food crop has grown significantly 1950s, thanks to innovation, industrialization, fertilizers and government strategies that helped to increase crop yields. Thus, these innovations allowed the farmworkers, firstly, to reduce manual labor, secondly produce more products.

These changes brought good results, and reduced many risks, but also led to significant costs. For example, consumption of the upper soil layer, pollution of groundwater, and the destruction of family farms are noticeable.

Until the early 1990s, producers continued to neglect the working conditions of farmers, the rising costs of production and the destruction of economic and social conditions in the farming communities of the country.

From the 1990s up to nowadays, there has been a growing tendency to research and implement techniques that contribute to solving these social problems.

Today, sustainable farming techniques are gaining growing support among people around the world.

Sustainable farming solves many environmental problems but also offers innovative and cost-effective opportunities for producers, workers, consumers and many others throughout the food system.

Developing Smart Farming Solutions

We strive to show the concepts, techniques, and strategies that establish the concept of sustainable farming. Softengi does this to offer digitalization steps aimed to transfer businesses to sustainable farming. The idea of sustainable farming is under development, we do not plan our Solutions as a  statement, but as an invitation to the dialogue of all those working with agricultural production.

Discover our Smart Farming Use Case based on sustainable agriculture.

Nowadays, everyone involved in food production, from farmworkers to consumers, shares a vision of sustainable farming. Despite the variety of perspectives on the concept, the following topics usually permeate sustainable farming:

Sustainable farming is based to fulfill the needs of society in production now, without depriving future generations of the opportunity to fulfill their needs.

Therefore, control over human and natural resources has paramount importance.

All this concerns the analysis of societal aspects, such as working and living circs of farmers, the demands of the agrarian community and consumer health, both in the present and in days to come.

Control of land and natural resources means maintaining or developing vital resources for a long time.

A systems approach means interdisciplinary purposes in research and education.

This demands not only the data of researchers but also farmers, workers, consumers, and others.

Starting the transition to sustainable farming is a long process. 

For farmers, the transition to sustainable agriculture frequently takes a series of small, practical steps proposed by the University of California. Family economic and individual aim determines how fast or how far associates can go in the transformation.

It is necessary to understand that each small choice can make a difference and commit to improving the entire system further. The key to moving forth is the intention to take the next steps.

Softengi Use Cases for Smart Farming

Agriculture Machinery Tracking

It is known that the use of old or failed equipment negatively affects the environment. The Solution reduces the environmental impact of transport through timely predictive maintenance. Using IoT-sensors, Solution helps to monitor the state of the machine in real-time and make predictions for the future.

Harvest Logistics Management

The Solution uses modern sensors, cloud synchronization and the Internet of things in order to monitor the transportation of goods in real-time and prevent the loss of food products on the logistics operations of the supply chain, both during the movement of cargo and its storage.

Remote Crop Analysis

Remote crop analysis allows you to use less fuel to inspect fields, as well as optimize watering and plant care schemes. These factors have a beneficial effect on the environment and the carbohydrate footprint of agriculture.

Soil Sampling Solution

Constant analysis of the soil condition reduces the amount of fertilizer used, as well as optimize irrigation scenarios in order to reduce the environmental impact and decrease water usage on the fields.

Lastly, it is essential to point out that reaching the aim of sustainable farming is the obligation of all members of the system, including farmers, workers, researchers, retailers, and, at last, but not least consumers. Every member has his own part to play, his own unique supplying to establish the sustainable farming community.

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