Big Data

Saswat Sarangi is a theoretical physicist by training with a PhD from Cornell University, Ithaca, NY, USA. After his PhD, he was a research scientist at Columbia University, New York City, USA. Saswat started his finance career in New York City working as a quant at Bloomberg and later at Citigroup. He currently works with Invesco in Atlanta, USA. Pankaj Sharma is an engineer from IIT Kharagpur, India, with an MBA from the Faculty of Management Studies, University of Delhi, India. He has more than 15 years of diverse work experience in various leadership roles with global investment banks, Indian equity brokerages, state-owned enterprises and start-ups. Pankaj turned full-time researcher in late 2016 to do in-depth work on contemporary issues. Earlier, he was a ranked equity analyst with UBS, Citi and JP Morgan. Pankaj has also been a regular contributor to print and electronic media. Pankaj published his first two books in 2017: Demonetization: Modi’s Political Masterstroke and 2019: Will Modi Win? This was followed by Rafale, Raga, Reuniting Forces for 2019 in the second half of 2018 and The Anatomy of an Indian General Election in early 2019.

1. Big Data: What, Why and How? 2. Big Data and AI 3. What Big Data is not? 4. How Data Analytics works? 5. Big Data: The Applications 6. Why Big Data Matters? 7. The challenges with Big Data 8. Big Data: the Key Questions 9. Big Data: Is there a question mark on ethics? 10. The Future of Big Data.