Are they the seeds to be nurtured to bring in automation, innovation and transformation. There is a saying, necessity is the mother of invention. I would say, innovation is amalgamation of creativity and necessity. We need to understand the ecosystem, to apply creativity and identify the ideas to bring in change. We need to be competent with changing ecosystem and think beyond the possible. What is the biggest challenge in doing this? "Unlearning and Learning", we think the current ecosystem is the best. Be it health, finserve, agriculture or mechanical domain, we need to emphasize with the stakeholders, to come up with the strategy to drive. The very evident example here is the quality of life is changing every millisecond. Few decades back the phone connection was limited to few, but today all the millennials are having a mobile phone. Now phone is not just a medium to talk, but are so powerful devices that an innovative solution can be developed on it....
Hello Data Scientists, Let me continue from my last blog http://outstandingoutlier.blogspot.in/2017/08/what-skills-one-need-to-be-successful.html :: “What skills one need to be a Successful Data Scientist?” where I wrote importance of Data Scientists to be all-rounder with Analytical skills, Understand Mathematics, Statistical Analysis, usage of Power Tools, Domain expert and last but not least presentation/visualization skills. Taking it forward in this blog I will delve into Why I as Data Scientist prefer R over other tools. Choosing R does demean the power of other tools like SAS, Python etc. Every tool has its own capability and limitation. “Excellence is never an accident. It is always the result of high intention, sincere effort, and intelligent execution; it represents the wise choice of many alternatives - choice, not chance, determines your destiny.” ― Aristotle To be proficient one should know theory and practical aspect of the topics. To be produc...