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Showing posts from January, 2020

Blockchain in simple words.

Imagine if you could send money to your friend living miles away without using any bank applications, or basically without any middemen interference, Sounds cool right. Blockchain is something that will allow you to do this. The financial industry relies heavily on the intermediaries or middlemen, it is middlemen based model. The existence of middlemen in making transactions increases the cost.  Blockchain can be applied in any industry, for enhanced security. But we use of Blockchain in financial industry, as Internet currency or crypto currency. Crypto here refers the security or the model that block chain uses, the use of cryptography to enhance the security. One of the critical flaw of Blockchain  is that the model remains safe and secure as long as the majority of the model is controlled by good cryptographers or nodes. Nodes here refer that every transactions taking place over the blockchain is interlinked and connected to each other, for example when  a transaction is mad

The data saga.

Data data data, we hear this everywhere. So what's this data and data science is all about. LinkedIn survey says the most demanded job or skill in recent years is data science, machine learning, data analytics. Why all of a sudden, everyone is behind data. Data is needed everywhere from analysing the customer behaviour of a segment, or Amazon tracking it's huge customer order database. Data is digital gold, it is from the huge chunk of data that companies harvest from various sources they draw insights, and analyse, interpret and make decisions that benefit them. Data science is not pure science or not something we do in a laboratory. So, how this data benefits? A huge amount of data is not a new thing to us, companies had it earlier, but as technology evolved we found new and better ways to draw insights the data, and eliminate the so-called "garbage in garbage out". Companies started making the data in a useful manner.