Chirag Ferwani

Brain Drain from India Let me firstly explain what is Brain Drain by giving an example, As we all know that there was a recent news that Twitter's Jack Dorsey had announced that he would be stepping down from his role and Parag Agarwal, who is an IIT-Bombay pass out will be joining as the new CEO there are many more such examples of an Indian origin person becoming the CEO of an foreign company like Satya Nadela becoming the CEO of Microsoft after 2014, Sundar Pichai becoming the CEO of Alphabet in 2015, Santanu Narayen, CEO of Adobe since 2007, Arvind Krishna, CEO of IBM in 2020 and many more, this is something we Indian's are really proud about becoming successful and proving ourselves in other countries, but also at the same time some people give it the name of „‟Brain Drain‟. On this even Elon Musk tweeted by saying that 'USA benefits greatly from Indian talent!' even though this does not sound good to hear, but still this tweet has some bitter truth, because over m...

Cyber Security   In today’s technical environment many latest technologies are being experienced by mankind, and the internet being one of the fastest-growing infrastructures has become a necessity. But due to the emerging technologies, we are unable to safeguard our private information in an effective manner which is giving rise to cybercrimes day by day. Today more than 60% of commercial transactions are done online which makes cyber security the field for transparent and secure transactions and an important asset of the risk management approach. In this article, I would like to stress on my conceptualization of the risk management approach and the reason why I have chosen to adopt an integral part of the cyber security risk management approach and the resulting profile. What is cyber security? is the question that might have arisen in anyone’s mind reading this article; so let me simplify it for you, cyber security or also known as IT security is the practice of protecting the c...

Python: "There is exactly one correct way to do it" Python is a high-level, general-purpose and very popular programming language. The latest version (python 3) is being used in Web development, Machine learning, and Deep Learning applications like used for building neural networks which relate to the study of artificial intelligence. Python is an easy-to-learn, and widely used multi-purpose with dynamic semantics. This allows for rapid software development and has also been used as a glue language to connect existing components. Python supports modules and packages, which encourages program modularity and code reuse which are some of it’s important features. Python is often picked because of its productivity without compilation steps. Debugging programs is easy because the interpreter catches errors instead of causing a segmentation fault. The debugging at the source level allows for inspecting local and global variables, evaluation of arbitrary expressions, setting breakpoi...

  Artificial Intelligence: Where Machines Are Smarter The use of AI is a phrase that many people are using this time in time. Artificial Intelligence disguises the truth that humans are often as befuddled by AI as society is. Some say that the current era revolves around Artificial Intelligence, but there is much misunderstanding. There are many in academia and industry who believe that AI has the potential to surpass human intelligence and create Machine Superintelligence. The idea is frightening for some, but it's fascinating for others. People often overlook the dangers that exist in AI. One of the most common problems is that humans are confident AI will make accurate decisions, but they fail to account for malfunctioning machines and poor data. In the digital era, industries are being disrupted by Artificial Intelligence (AI). AI is not just a fad but it also has a major impact on how marketers will do their job in the future. Marketers need to be prepared for the changes ahea...

Why on Earth is Data Science? Data science is a field that extracts insights and knowledge from data, to use in a broad range of contexts. It uses interdisciplinary methods, processes, and algorithms. Data science is an umbrella category for disciplines that include statistics, data analysis, machine learning and its closely related methods. The purpose of data science is to understand a subject through the use of data. Data science has been a booming field in recent years. Data science professionals have been sought by many companies for solving business complexities. Thus the job role of a can be defined as “A data scientist is a statistician who can code.” Data science is the study of how data can be used and analyzed in order to make new discoveries or can also be simply defined as “the discipline of making the data useful.” Data science encompasses a broad range of data-related techniques and skills, from advanced analytics to ethics. In order to be an effective data scientist, on...