Why Node JS is a preferred choice in server side programming?

The rising popularity of JavaScript has brought with it, a lot of changes, and the face of web development today is dramatically different. JavaScript was used primarily for client-side scripting. The things that we can do on the web nowadays with JavaScript running on the server, was hard to imagine few years ago. Continue reading »

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How To Choose The Right IoT Application Development Partner

Today, smart devices have become an integral part of our lives. From smart watches capable of doing more than merely showing the time, to smart medical sensors that help doctors & healthcare professionals to assist patients more effectively, IoT has shown a way to smarter future. This has provided businesses an opportunity to be a part of this emerging market, providing new products. Continue reading »

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What is DevOps? And How Could It Benefit Your Business?

There is always a new buzz in IT industry from time to time, may it be Big Data, IoT, or AI based Chatbot. An organisation / business has to quickly get accustomed to these often used phrases & trends in order to survive & surpass its competition. DevOps is one such trend that has revolutionised the software development industry owing to its capability to increase agility and improve performance in the IT department. Continue reading »

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Building Chatbots using Google’s Dialogflow

My very first encounter with a chatbot happened a couple of years back when I was trying to lodge a complaint with an E-commerce company’s customer service. I felt that I was handed out a poor delivery experience by the logistics company that was shipping on-behalf of the E-commerce company, which got me miffed. Continue reading »

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What is Data Preparation and why is it vital for data analytics?

Before we get into the exceptional benefits offered by data preparations, let us have a quick look at what exactly it is in simple words.

What is data preparation? – Prior to analyzing any data, data must be transformed to appropriate form for trouble free analysis process. This is called data preparation. Data from various sources are cleaned and transformed to improve its quality in order to use it for business analytics purposes. The data preparation process involves various steps like data discovery, data profiling, data cleansing and transformation. Continue reading »

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