“Instead of using technology to automate processes, think about using technology to enhance human interaction.” ~ Tony Zambito, Lead authority in Buyer Personas.

Do you know ~ according to research, 93% of customers make purchase decisions based on visual appearance. Visual elements of your brand are the key deciding factors for a majority of potential customers.

Your logo, website colors, chatbot texts, etc all have an impact on the psychology of people who come across them. Some colors or features attract them and some make them leave your website instantly.

In this era, interactive features with the help of technologies like Artificial intelligence are enhancing such effects. AI has the power to add interactive elements to your presentation. This creates a connection between your company and its customers.

The artificial intelligence global market is expected to reach $190 billion by 2025. The bright future of this technology allures every entrepreneur. In fact, when we think about the technologies that are going to rule in the future, the one name that comes to our minds is ~ Artificial intelligence.

AI along with its subsets like machine learning and deep learning is making such things possible which were unimaginable by humankind a few years back. It is affecting the realities and sometimes changing reality completely.



The power of AI is well acknowledged by businesses as 84% of respondents in a study voted that they believe artificial intelligence will allow them to enjoy a competitive edge over competitors.

Although entrepreneurs have an idea about AI but what most of them lack is proper implementation. The use of optimum programming tools for a complex technology like AI can create wonders for the world of business.

Every custom web developer knows that a python is an apt tool for building AI-enabled -applications. The language has been used to create 126,424 websites so far. Since its launch in the late 1980s, python has seen remarkable growth not only in users but in applications too.

Python is the favorite language for software developers to create applications that have artificial intelligence, machine learning, etc features embedded in them. But there are reasons behind everything.

This blog is written with the intent to unveil these reasons. Let’s explore why python is extensively used in AI-enabled software development services.

Do you know there were 5 million apps in 2019? Out of these millions of apps, only a few are able to perform. There are many reasons for this but a major factor is the interactivity of an app.

No matter which product you are trying to sell, customers choose the one which allows them to get involved. Interactive apps are in demand for a long time. Are you wondering how can you make an interactive app?

The first thing which comes to our mind when we talk about interactive apps is the concept of single page application. This is because SPAs are known for their capacity to interact with the user by reloading some page elements dynamically depending upon the interaction by the user.

What is Outsourcing?

Outsourcing has become one of the increasing trends nowadays. Individuals, entrepreneurs, enterprises, and companies hire remote workers to get their project completed at a reduced cost. At the same time, outsourcing helps enterprises frees up time and focus more on core business process. Outsourcing is a process of shifting the jobs or tasks to the external workforce for an ample amount of time.

Deep Learning applications have changed a lot of things. Some which give hope for a brighter future, and some which raise suspicions. However, for developers, the growth of deep learning applications has made them more perplexed about choosing the best among so many deep learning frameworks out there.

TensorFlow is one of the deep learning frameworks that comes in mind. It is arguably the most popular deep learning framework out there. Nothing justifies the statement better than the fact that Tensorflow is used by the likes of Uber, Nvidia, Gmail among other big corporations for developing state-of-the-art deep learning applications.

But right now, I am on a quest to find whether it indeed is the best deep learning framework. Or perhaps find what makes it the best out of all other frameworks it competes against.

I am a full-stack developer at Syncrasy Tech (IT solutions company). I love writing React codes. But why I am telling you this as we are here to discuss the Vue.js best practices for web development. I am telling you this so that you can understand my background and why I’m discussing here the Vue.js.

I love working on React codes, but I hate reading them. This is the reason where I fail to code. Even with the best code review practices, I can’t figure out the nesting of React components that simply helps to create more complex UI structures in web apps.

The solution to this problem is Vue that is now not so new in the block of web app development. I have heard a lot about Vue async components, server-side rendering, tools, and libraries. Perhaps you find this myriad of terms to be confusing. Believe me, you’re not alone in that, many developers of all levels feel the same way when they don’t know the Vue best practices.

A few days later, I finally decided to get my codes into it. What I am sharing here are the numerous best practices that I have learned through my experience with Vue. I’m ready to share what I’d find.