Artificial Intelligence (AI) vs. Machine Learning (ML)

Artificial Intelligence (AI)  vs Machine Learning (ML) is a somewhat controversial topic which has been debated by experts and numerous others in the industry. AI and ML is frequently used to give clarity regarding features, capabilities and distinguishes one from the other.

But what is Machine Learning and Artificial Intelligence?

Artificial Intelligence

What is Artificial Intelligence?

Artificial Intelligence (AI) is a field of software engineering which creates a PC frame that can emulate human insight.It is involved two words “Artificial” and “Intelligence”, and that signifies “a human-made speculation power.”

Artificial Intelligence (AI)  framework does not requirea pre-programmed system, it uses different algorithms which work by their own intelligence.

Many of the technologies we use today, such as smart devices and voice assistants like Siri on Apple devices, are powered by artificial intelligence. Businesses are using methods like natural language processing and computer vision, which allow machines to understand images and understand human language, to automate jobs, speed up decision-making, and enable consumer exchange with chatbots.

Three categories of AI can be distinguished grounded  on their capabilities:

• Weak AI
• General AI
• Strong AI

In the meantime, we are using both general and weak AI in our work. Strong AI, which is the direction of AI, is predicted to be more intelligent than humans.

Where is Artificial Intelligence used?

Manufacturing Industry

The success of a company in the manufacturing sector depends on its efficiency. By utilizing data analytics and machine learning in applications like the following, artificial intelligence can assist industrial leaders in automating their business processes:

• Using analytics, machine learning, and the internet of things (IoT) to detect equipment flaws before they cause problems
• Utilizing an artificial intelligence (AI) application on a machine in a factory that watches a production machine and forecasts when maintenance needs to be done to prevent failure mid-shift.
• employing machine learning to analyze HVAC energy consumption patterns and make adjustments for the best possible energy savings and degree of comfort

Banking

The banking sector places a premium on data security and privacy. Financial services leaders can use AI and machine learning in numerous ways to protect consumer data while boosting productivity:

• Machine learning is being used to identify and stop fraud and cybersecurity assaults.
• Using biometrics and computer vision to process documents and swiftly verify user IDs
• Automating routine customer service tasks using smart technology like bots and voice assistants

Health Care

To deliver precise, effective health services, the healthcare industry consumes enormous volumes of data and increasingly relies on informatics and analytics. AI solutions can assist healthcare professionals avoid burnout, enhance patient outcomes, and save time.

• Analysis of user’s electronic health records to provide automated insights and clinical decision support
• Using a system that anticipates the results of hospital visits to avoid readmissions and cut down on the amount of time patients are held in hospitals
• Utilizing natural language understanding to capture and record patient-provider interactions during examinations or telemedicine consultations

Machine Learning (ML)

What is Machine Learning (ML)

AI is used in machine learning. It is the practice of assisting a computer in learning without direct instruction by applying mathematical models of data. As a result, a computer system can keep picking up new skills and getting better on its own. By examining and exploring different paths regarding AI, developers test the restrictions of the amount they can work on the discernment, insight, and activity of a PC framework. Where as Deep Learning is an advanced method of the ML and  goes beyond.

Is Machine Learning the same as AI?

No, machine learning is not the same as an ai but it is part of AI. ML is and will always be considered a subset of AI.

Some examples of Machine Learning (ML)

Speech recognition

It is the machine learning what makes speech transform into text. There are certain software applications that can convert voices or recordings intro a text.
Real-life instances of Speech recognition:

• Voice Search
• Voice dialing
• Phone assistant

Image Recognition

A well-known and common application of machine learning in the real world is image recognition. Based on the intensity of the pixels in black-and-white or color photos, it can recognize an object as a digital image.

Real-life instances of Image Recognition:

• Decide whether an x-ray is malignant or not.
• Tagging on social media recommendation.
• Handwriting recognition

Predictive analytics

Available data can be categorized by machine learning into groups, which are then further defined by rules established by analysts. The analysts can determine the likelihood of a fault once classification is complete.

Real-life instances of Predictive analytics:

• Determining whether a transaction is genuine or fraudulent
• Improve prediction methods to determine the likelihood of a fault

One of the most promising applications of machine learning is predictive analytics. It can be used for anything, including pricing for real estate and product development.

Are Artificial Intelligence and Machine Learning the same?

Despite their close connections, machine learning and artificial intelligence are not the same. A part of artificial intelligence is machine learning. AI is used by “intelligent” computers to mimic human thought and carry out independent activities. The process by which a computer system becoming intelligent is called machine learning.

Difference between Artificial Intelligence (AI) vs Machine learning (ML):

The majority of regular people frequently confuse the terms artificial intelligence & machine learning and use them interchangeably. Even while machine learning is a component of artificial intelligence, these two phrases essentially refer to two separate concepts. That’s is why there is a concept of Ai vs ML.

Conclusion

Even if the majority of people confuse them AI and ML technologies are vastly different as we mentioned above. Which of them is more important ? That’s up to each of us to decide. The main AI and ML difference will always remain that ML always needs a new set of data to advance while AI will try and solve problems just like you and me would.

Angular vs. React. Is react better than Angular?

Picking the right JavaScript structures is a genuine disarray. Particularly when you have a great deal of choices that are ingenious and equipped for working with the undertaking necessities. However, picking the one for the right arrangement of ventures requests information on a few basic viewpoints. A lot of people start by asking is React better than Angular? I belive that we should dive a little bit more in depth so that we can come to a sensible conclusion because each of them has it own uniqueness.

We will take care of a portion of the fundamental places here by making a fair examination of Angular vs React.

What is Angular?

Angular is an improvement stage based on the typescript. It is a part-based structure for building versatile web applications. It has an assortment of very much incorporated libraries and highlights like client-server correspondence, directing, and the sky is the limit from there. Angular is a full-fledged MVC framework so once you learn it well, you won’t need other solutions. Besides, it’s continually refreshed innovation with its most recent advancements drove by the Angular group at Google.

What is React?

React is an open-source JavaScript library utilized for frontend improvement. It is utilized for building UI or UI parts. Its part based and revelatory characteristics let designers make intuitive and complex UIs without any problem. Designers can assemble quick and versatile applications for all stages because of its “advance once compose anyplace” rule. React is overseen by Facebook and a local area of individual engineers and networks.

Angular vs React : Which JS Framework your Project Requires?

I have an affection and “hate” relationship with all the frontend framework structures. It is very entertaining or rather ridiculous on the grounds that a lotof times, I have been getting everything rolling with the new framework, making a web application, I get stuck. For a really long time.

At one point, making the least complex of the highlights work appears to be a major battle. It stretches out to where you at last lose confidence in your picked system. The battle is genuine!

Choosing between the two frontend stages like Angular vs React for the undertakings involves banter. The justification for why we call it a discussion is on the grounds that we need to limit the disarray. Having said that, a lot of our clients request that we recommend the best frontend framework.

Be that as it may, we can’t characterize best, however we can most likely track down the contrast among angular and react and furthermore examine which is better in which circumstances. In this blog, we will examine the two most adored frontend structures. All in all, Angular or React? Let’s have a look at it.

Angular vs React Comparison

Angular is a JavaScript structure fabricated utilizing Typescript, while ReactJS is a JavaScript library and constructed utilizing JSX. Precise is generally used to construct complex venture level applications like single-page applications and moderate web applications, while React is utilized to fabricate UI parts in any application with often factor information. Angular’s expectation to learn and adapt is more extreme because of its an excessive number of in-fabricated functionalities while React more modest bundle size.

These and a few other unmistakable qualities make Angular and React on a very basic level unique, and thus, we really want to lay the shared belief over which we can look at these two. How about we comprehend the specialized determinations first with the assistance of the diagram given beneath.

Among its fundamental distinctions are:

• Angular was delivered in 2009 and React in 2013
• Angular is great for making intelligent and high client commitment applications, while React is ideally suited for huge applications where information changes regularly.
• Angular works with a genuine DOM, while React utilizes a virtual DOM
• In size, the two advances are little and high in execution.
• Angular permits UI plan attached to the level item or property level, while React interfaces straightforwardly to the UI configuration state.
• In information restricting, Angular is one way, and React is two way.
• Angular expectation to absorb information is steep, being one of the most convoluted systems for engineers to deal with, while React is one of the simplest to learn.
• In cost, both are open source technologies.

React vs Angular features:

React Features

• Virtual DOM: a programming concept where an ideal, or “virtual”, representation of a UI is kept in memory and synced with the “real” DOM by a library such as ReactDOM, it allows fast application development
• JSX : it is a syntax extension to JavaScript that helps convert HTML tags into React components. To put it in another way it allows us to insert and combine HTM: with custom tags directly in JavaScript code.
• One-Way Data Binding: ReactJS uses one-way data binding feature. In other words the data flow is unidirectional, which allows developers to have more control over mobile and web applications.
• Declarative UI: The declarative approach is when you describe the final state of the desired UI.

Why use ReactJS?

For starters ReactJS is easy to learn. You can get the grasp of it in a very short time. The use of simple JavaScript component-based approach. React can be also used to make mobile applications. So we can create applications on IOS, Android and Web. Lastly the testing part is easy, React view can also be treated as fuctions of state so that we can manipulate them with the state we pass to ReactJS and have a look on the outputs and trigger action, event, fuctions etc.

Angular Features

• MVC Architecture: Model-View-Controller or MVC, is s an architectural pattern that separates an application into three main logical components: the model, the view, and the controller.
  The Model component administers the application data, while the View component monitors and ménages your data display. On the other hand the Controller component makes the connection between the model and the view layers.
• Two-Way Data Binding: Two-way binding gives components in your application a way to share data. Use two-way binding to listen for events and update values simultaneously between parent and child components.
• TypeScript: TypeScript defines a set of types to JavaScript, which helps users write JavaScript code that is easier to understand.
• DOM (Document Object Model): treats an XML or HTML document as a tree structure in which each node represents a part of the document. Consider that ten updates are made on the same HTML page. Instead of updating the ones that were already updated, Angular will update the entire tree structure of HTML Tags.

Angular Benefits:

React vs Angular Popularity

The notoriety of a specific Javascript structure or web innovation can be an incredible wellspring of data and bits of knowledge. Taking a gander at these details will assist you with get-together responses to questions like:

• Is this technology something serious?
• Is there (and will be) interest for this technology?
• Will it be not difficult to track down and recruit designers?
• How enormous is the local area?
• What sort of assist with canning I anticipate from the local area?

Performance: React vs Angular

Potential performance concerns arise from Angular’s use of a Regular DOM, especially when a lot of UI elements and web page data are present.

In summary, due to more effective state change and Virtual Tree updating, React’s Virtual DOM is recognized as being significantly faster than Angular’s Regular DOM.

All in all : Angular or React?

Eventually, we’d like to urge to the place wherever we are able to opt for anyone innovation. may we? ReactjJS could be a go-to selection for one cluster since they might have to be compelled to develope AN application out of a bit expectation to find out and adapt. whereas building AN enterprise grade application with huge flip of events, teams will choose Angular since the larger expectation to soak up info is not any bar for them.

All things thought-about, ReactJS is to a point selecting simple} technique for taking care of business since it hasn’t tons of to try to to with checking out markup language but rather has the foremost straightforward ways in which of reusing the UI elements. whereas Angular is separated from everybody else equipped for taking care of varied things on their own while not relying upon any additional help, on these lines, it’d seem to be attention-grabbing directly. Be that because it might, the benefits predict the additional broadened plan and overweigh the time contributed.

Lay the Foundation Right: Functional and Non Functional Requirements

Imagine a trivial developing process: a simple idea, simple implementation. The developer evaluates the requirements of the customer and declares that he will cope with the task in such and such a time frame with such and such a budget … and gets to work. But suddenly things don’t go according to plan. Deadlines are missed, budgets are wasted, both sides are nervous, and finally all this leads to the failure of the project. How did it happen?

Many projects fail even before they start, but both the developer and the customer may not even be aware of this. It’s all about the wrong writing of functional requirements and non functional requirements This is what causes most development project failures (60-70% according to sundry sources). Below we talk about what exactly they are in practice, what’s the main difference between functional and non functional requirements (with examples and also learn how to word them correctly in order to avoid unforeseen waste of time and money.

The Concept of Functional and Non Functional Requirements

By functional requirements, we mean the actual functions of the software product. That is those features of the software or its individual components that are necessary for the user to complete the tasks. Any function of any program fits into a simple scheme: data input → system response → data output. This includes any calculations, starting or stopping business processes, interacting with users, automating management control systems, interface (response to pressing a certain button), and much more.

Simply put, functional requirements are WHAT the system must be able to do.

Non functional requirements definition is HOW the system should work in certain situations. For example, how fast the program processes data or how many users can simultaneously work in the system.

Non-functional requirements improve usability but do not define the capabilities of the software. At the same time, nonfunctional requirements may relate not only to the software system itself: some may relate to the technological process of creating software, and others contain a list of quality standards imposed on the development process. In addition, the non functional requirements template may state that system design should only be performed by certain CASE tools, and describe the design process to be followed.

Some argue that meeting non functional requirements is not necessary for the program to work correctly, but it is desirable. Based on this, it can be assumed that non functional requirements in software engineering are not as important as functional ones. This is true, but only if your software has no analogs at all. Otherwise, you will just look for a more convenient option. In addition, there is another reason to take a closer look at non functional requirements. And we will talk about it now.

The Blurred Line Between Functional and Non Functional Requirements?

So, we have already understood what is the difference between functional and non functional requirements. However, is it always so obvious? For example, you would most likely classify system security requirements as non functional because security is not a function of the software. However, to ensure security, the developer needs to prescribe the functionality of user authentication, assigning roles and access to them. All this will be implemented in the form of functions that users will have to work with.

Another example  is the interface, which we referred to as functional requirements above. You may have noticed the note in brackets, which says that the function itself is implemented here as a button, and the requirement is put forward for the program’s response to pressing it. At the same time, the external interface is often referred to as a non functional requirement, because in itself it is not a function, and only affects the usability of the program.

That is, the line between functional and non functional requirements is clear in some cases and blurred in others. This is the second reason why non functional requirements should be taken as seriously as possible.

To put an end to this issue, we propose to consider a generalized classification of function and non function in order to better understand their essence.

So, Types of Functional Requirements:

• Business Requirements for software. These are the requirements that define the business goals and what functions the program should have in order to achieve these goals;
• User Requirements. User requirements definition is the goals of specific users and a set of tools to achieve them when working with the program;
• Functional Requirements. Define the very “system response” (the second step in the function scheme described above), the correctness of which will allow users to perform tasks using the developed program.

Non Functional Requirements List:

• Business Rules are corporate policies, accounting practices, internal regulations, as well as any external rules, such as legislation, that the software must comply with;
• External Interfaces are customary to refer to non functional requirements because the interface does not directly affect the functionality of the software;
• Quality Attributes are requirements for the characteristics of a software product, which determine the possibility of porting, scalability, capacity, reliability, etc;
• Constraints – a list of conditions aimed at reducing the number of program scenarios to optimize resource costs.

How to Prepare Functional and Non Functional Requirements?

Most often, the functional requirements of a system are submitted by the customer in the form of a text description, which describes in detail what and how the system should do under certain conditions and to achieve certain goals. However, this is far from the only and perhaps not the most demonstrative way to convey to the performer what you want from the software.

Infographics

Usually, the form of diagrams and models is chosen. When forming the requirements for the project, you must be aware of the importance of their clarity for the contractor. Diagrams and models can often be more descriptive than long text descriptions. In addition, they allow you to quickly and simply explain how processes should work inside the system.

Use Cases

Use cases are one of the most common (after textual descriptions) ways to form requirements. Use cases can also be designed as text or infographics, but their main difference and feature are that the requirements are described from the point of view of the end user of the software product. This option is often used because it allows you to describe the requirement in detail without having special technical knowledge.

Use cases contain three required components:

1. System user (Actor)
2. The system and its “responses” under a certain scenario (System)
3. The goal of the user working in the program (Goal).

Use Stories

A more complex version of use cases. These show not only what your software must do from a particular user’s point of view, but also specify the acceptance criteria. For example, when a system administrator sets up access rights for a new employee, that employee should receive an email.

Prototypes

A kind of demo of the program or its components, which clearly demonstrates how certain program functions should work. A properly working prototype can later become an MVP (minimum viable product).

Functional decomposition

Also known as Work Breakdown Structure (WBS). It is a way of formulating requirements by breaking down a complex process into several simple functions. That is, to explain how this or that complex process should work, we consider its stages separately, and put them together like a puzzle to understand the big picture.

On a Final Note: Requirement Documentation in Software Engineering

Thus, the proper formulation of requirements can be the solid foundation on which a successful developing process will be built. The functional requirement analysis in software engineering is a really important stage. It is necessary to document the list of functional requirements and non functional requirements correctly, as this will allow you to clearly outline the scope of the budget and implementation deadlines, convey to the contractor all your wishes regarding the final result and carefully work out all the points before starting work, as well as minimize risks.
It is also appropriate to clarify here that documentation is only one of the stages of working with requirements. It is preceded by the collection and analysis of requirements, for which special working groups are involved (they include users, developers, architects, testers, support engineers, and other employees of the customer and contractor involved in the development). However, in practice, these processes often go hand in hand.

System integration. Moments that everyone should learn

In this article, we want to talk about when the integration process will come in handy for you and how it will be useful. We wanted to help you identify your needs so that you could weigh all the pros and cons before the work begins.

Over time, it is time for every enterprise to expand, and this applies not only to the number of workplaces but also when there is a need to integrate the technologies that were used. In other words, your business has outgrown your software. This is where System Integration comes in.

Next, we will consider what are the solutions of System Integration, the steps and why it is needed in general.

Definition of system integration and what result it gives

System integration is the unification of all components and subsystems into a single system in such a way that the system will be able to provide common functionality.

As a result, you receive:

– Data reliability and accuracy will be ensured;

– Better performance of all systems;

– Instant analytical solutions;

– A cheap option for performing works;

Common integration services for various business areas

Legacy system integration

By an outdated system, we mean outdated computer or hardware that the company uses, but it no longer allows productivity growth. Applying this integration process, new, modern applications are added. For their part, they will help establish communication channels with newer systems. From this, the productivity of the company’s root will only increase.

Enterprise application integration (EAI)

Enterprise application integration is the technology that brings together multiple applications used in the same organization into a single process and implements data format conversion between them. As companies implement more and more applications for their activities, there is a need to combine them with each other. The applications themselves contain a large amount of information alone. With the help of integration, applications will enter into one system chain so that data is exchanged between them around the clock.

Third-party system integration

It’s easier here. Your company is planning to add a new product to the system, but there is a lack of time and money. Therefore, it borrows an existing system or application (usually by agreement with a third party, a development company) and integrates the novelty itself.

B2B integration

Thanks to the automation of the main business processes, this integration will give the flexibility to communicate with each other to several companies. That is, B2B is the direct integration of several businesses of different companies into one established data transfer mechanism.

Step-by-step preparation for system integration

Every company wants to modernize their systems and at the same time make the right investment. But you need to understand that sometimes you can’t do without the necessary tactics. Let’s take a closer look at the stages of preparation for integration or system migration.

• Analysis of the planned project
• Simulated architecture
• System testing
• Diagnostics

These four stages are more or less familiar to us, but in addition let’s talk about the stages of Simulated architecture. Here are some possible models.

Point-to-point integration, or P2P integration, involves using special code to connect two applications. Multiple technologies can be used to write code, which means your team can build a network of point-to-point integration using different programming languages.

The hub and spoke model refers to a distribution method in which there is a centralized hub. Everything either comes into the center or is sent to the center for distribution to consumers. From the center, data are routed to smaller company-owned locations called “spokes” for next processing and distribution.

An Enterprise Service Bus (ESB) is essentially an architecture. It is a set of rules and principles for integrating multiple applications together through a bus infrastructure. ESB products allow users to create this type of architecture, but differ in the way they do it and the capabilities they offer.

Here we tried to explain how and which model works, but these models may not be the only solution to the problem. I would like to add two additional platform-related processes that you may encounter during integration.

Additional options for how to integrate the system

If these architectures (which we described above) did not suit you as a solution, for example, due to the complexity of your software. Let’s look at cloud platforms with two options for deploying integrations using them.

iPaaS

Integration platforms (iPaaS) are created to support cloud solutions/systems. The iPaaS solution is designed to manage integration from cloud applications. Integration platforms (iPaaS) are created to support cloud systems. The iPaaS solution is designed to manage integration from cloud applications. That is, this platform combines information into a single service, and users get access through the main page/login. Applications can be scattered across cloud storage, and Ipaas will give them the flexibility to communicate with each other. The solution is suitable for applications that will work around the clock and also simultaneously includes various models of integration solutions. This integration platform provides a number of opportunities with the help of which you can build good complex solutions with minimal time costs. The only known downside is security due to public access to the cloud.

Hybrid integration platform

This platform is more convenient than the previous one because it allows local solutions to be easily and safely integrated with cloud applications. This enables companies to accelerate innovation, increase efficiency and reduce all risk factors during integration. Includes user support at various levels, automates routine processes. The platform also provides communication between legacy programs that run even on physical hardware. Communication between programs and databases in confidential clouds and systems operating in publicly available ones. Supports communication with any systems, even with normal configurations. There is a high level of security here, while the systems are outdated. This HIP will help you to combine local and cloud solutions in the company.

Today, there are many global system integrators and companies that provide planning, design, implementation, and project management of solutions that meet the business and technology needs of their customers. And their main advantage is that they have a system integrator.

What is a systems integrator?

It can be not only a person but also a system integrator company. With the help of the services of such a person or company, you get a guarantee that all your systems will work smoothly during the integration. It can be a software integrator, a control system integrator, or even a remote system integrator, depending on your need. They can perform various tasks because they have the necessary experience and resources. You do not waste your time, but hire a qualified team that will control the entire process and performs the integration with the lowest risks. System integration is a long process for every company, so company integrators will familiarize you with the integration process in advance, conduct system integration testing, and also provide support at various levels while working with them.

Beginning of NET Core

The first and most successful opportunity to unify the software environment in the Windows operating system family was the platform .Net the development of which was still carried out at the beginning of the XXI century. The main idea of this technology, as the foundation for Net Core, was to knead a certain layer between the operating system and the application, allowing you to adapt the requests of the operating system to the software and back, acting as a kind of unified translator.

It is also necessary to clarify that this development has become not only successful but also open code, which contributed to making this product very popular and rapidly developing. In 2014, an independent organization was established: .NET Foundation, and all the platform code was posted publicly on Git. Since 2016, development has only been accelerating, at the moment more than 10 new versions have already been released.

Net Core Architecture

The fundamental parent of Net Core is the DotNet Framework, despite this, despite the fact that the functionality was inherited, it has been greatly improved. The main innovations in this system are the use of cloud technologies, additional functionality for modularity, and cross-platform. Modularity in this case plays a very important role in the decentralization of updates: each of the components is updated through a different manager, which in turn allows each module to be updated separately, without depending on other modules or on the platform as a whole.

Conclusions

All structured data is stored as text and numeric values. Usually, CVS and XML formats are used for this. The format is predefined in the data model.

Unstructured data is presented in native formats. These are MP3, WAV, OGG, FLAC, etc. for audio, JPG, PNG, TIFF, etc. for images, PDF, DOCX, TXT for any writings and e-mails, post and comments and other formats.