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Director's Desk

Brigadier SK Agarwal

As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2015. The main focus was on building a framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. All the ideas which you see in Hollywood sci-fi movies can actually turn into reality by Data Science. Data Science is the future of Artificial Intelligence. Therefore, it is very important to understand what is Data Science and how can it add value to the business. Data Science is a field that covers data cleansing, preparation, and analysis. It is an umbrella term that includes several scientific methods, such as mathematics, statistics, and many other tools scientists apply to extract knowledge from data sets.

According to International Data Corporation IDC’s Global DataSphere Forecast, Productivity/embedded data is the fastest growing category of data creation with a 40.3% CAGR for the 2019–2024 forecast period. By 2024, entertainment data will be 40% of the Global Data Sphere and productivity/embedded data will be 29%, stalled somewhat by COVID-19 dynamics. This also means that there is going to be a bigger gap in demand and supply of data scientists, including professionals for information management, software development, data analytics, artificial intelligence, and data discovery. Hence, Python, R, SAS, Machine Learning, etc. have become the most sought after skills.