General Data Protection Law.

     Now, The data is a matter of trust :)

The Indian talent I.T. The Information Technology is just prevailing in the Indian markets not just by creating revenue but also by addressing the challenges. India today growing more digitally the e-wallets, government services, social media, financial transactions and what not went digital. We created the biggest IT service market and we just captivated the entire world. The biggest asset to our industry today is data. But, the other side of the coin Are you sure that your data is reaching the right place? Don’t u worried about your privacy? Definitely Yes.  Let us speak today ARE THE REGULATIONS FIT THE CONTEMPORARY IT INDUSTRY? WILL THESE REGULATIONS PROTECT THE CONSUMERS? HOW STRONG IS INDIA’S DATA PROTECTION FRAMEWORK?

 To check all the above sequence of questions India drafted the bill on data protection. The cross-border data transfer is always a threat to the national integrity and its citizen's privacy. The bill has just ensured that the rights of all the stakeholders are protected. There has been a lot of study and India has just incorporated the best practices from China and European countries.

The core principles of India’s data Protection Bill is:

Right to be forgotten: The individual has the right to restrict the use of data at any point in time.

Data localization: Yes, the cross-border sharing is a big threat to the nation. So, the bill passes the regulations to store the copy of data in Indian servers.

Maximum penalty provision: The illegal data usage is now the punishable civil offense.

Incorporation of the data protection authority to regulate the law: The government official department and the ministry will be the authority and protects the customer’s interest.

The slogan of the data protection bill is “right to privacy is the fundamental right”. It also says that it is necessary to create a collective culture that fosters a free and fair digital economy, respecting the informational privacy of individuals, and ensuring empowerment, progress and innovation. The bill has rightly recognized that the data in India will solve a lot of problems and helps the nation the better place to live.

India generates much more data with just one proposed regulatory body to overview the entire regulation. In the current draft Indian Personal Data Protection Bill 2018, the focus is apparently on data monitoring and control (in certain aspects). Further, neither the draft Bill nor the report has delineated the technology aspect of the framework — how the Right to be forgotten, Right to access, and other rights being extended to data principals will be exercised.

Now, the data has become the matter of trust for India, the draft hasn’t used the phrased “right to erase” but the “right to restrict or prevent”.

Everything is sounding good but the reality stands in it’s enforcement. The bill has left us with unanswered questions like the storage of data, how it’s going to tackle the security related issue, when it comes to data storage and hence is a little raw in its approach, a nightmare for many big data, artificial intelligence (AI), machine learning (ML), and IT companies.

 Apart from all criticism, the BILL should really encourage and it’s really the great take off against all the odds.

Now, find your Sweet heart with Data Analytics !

LOVE in Online !!! Days were gone where we search for the loving peer in our college classrooms and hostile office rooms. We live in the digital age where the web is the world.

In the early 90s, chatting, instant messaging, and the Internet community were ways that individual connected online. In recent years, social media platforms including Facebook and Twitter have attracted people around the world to build and expand their social network online. As with such technical and cultural context, online dating services have emerged for the purpose of helping users find new people online who are well-matched with them. The concept of online dating has become famous in the early 2000s. Now, the one in every 18 Americans is using Big data Analytics to find there companionship.  

The online dating sites collect data about customers like there hobbies, interests, passion, likes, dislikes etc. The information is analyzed, compiled in a database system and then shifted to a variety of different algorithms to predicts the best matches. The dating sites use different algorithms to find the best matches and thereby they compete themselves for better customer satisfaction.  

Here is how I explain the basic algorithm that the online dating sites use.

The site asks the questions and thereby they evaluate ur compatibility. They give the points for every question. 

Now, let us check out the Alice and Bob Compatibility 

 Alice

	Question 1: Do you like watching football on TV?	Question 2: Are you a tidy person?
Self	Yes	No
Wanted from partner	Yes	Yes
Importance	A little	Somewhat
Importance score	1	10	Total = 11

Bob

	Question 1: Do you like watching football on TV?	Question 2: Are you a tidy person?
Self	Yes	Yes
Wanted from partner	Yes	Yes
Importance	Very	Very
Importance score	250	250	Total = 500

How their match percentage is calculated.

Alice’s score: Over the two questions Alice answered a little important and somewhat important meaning these questions are worth 11 points to her. Bob answered as Alice wanted on both questions meaning that Bob got 11/11 and that he is 100% satisfactory to Alice.

Bob’s score: Over the two questions Bob answered very important both times meaning these questions are worth 500 points to Bob. Alice answered as Bob wanted on one of the questions meaning Alice got 250/500 = 50%. Alice is 50% satisfactory to Bob.

OKCupid then takes the two-match percentages and calculates what is called the geometric mean. For two numbers this means multiplying them together and taking the square root.

100∗50−−−−−−−√$\sqrt{100\ast 50}$ = 71% (nearest whole number) !!!!!!!!.

Using this algorithm showed that Alice and Bob are 71% compatible. However, Alice and Bob only answered two questions, which doesn’t really give enough information about them. The site, therefore, adds in another feature which incentivizes users to answer at least 100 questions.

You might already be wondering about how effective the algorithm is and whether it could be improved. There is a lot of human psychology involved – for example, would Alice have really been honest that she isn’t tidy? Some other sites use different tools such as GPS, where users are matched with other people who are geographically close to them.

In the future, there are going to be more and more jobs for people who can use maths in a smart way to improve the way people do things. Instead of improving a dating algorithm you could be working for an online retailer making sure people are recommended the products which they like, or improving an app which helps people plan their next journey.

If you like thinking in a logical, mathematical way, then maybe you would be interested in being a developer, software engineer or data scientist!. 

BLOCK CHAIN .

       The way I understand the Blockchain

  Blockchain - The biggest financial revolution of the decade.

Let us assume that there are two people raghava and rakesh . raghava borrows some money from rakesh and rakesh  writes it on a piece of paper signed by raghava. After some days raghava denies the existence of such document and claims that rakesh has forged that piece of paper. rakesh would now find it difficult to prove that raghava actually owes him Money.

In this example, rakesh  and raghava are two nodes.

Now assume the same scenario, but among a society. So there is ’k’ pair of people transacting with each other. And the only proof that each pair has, is that piece of paper. Looking at this scenario, one person, gayathri comes up with a solution. She suggests maintaining a common notebook of the transaction for the entire society. She designates town hall to be the place where every exchange takes place. In the common notebook, every pair writes the transaction and then the notebook is kept safely. People rejoice and accept gayathri as their leader.

That notebook can be called a database.But one day, somebody spills wine on the notebook. This makes the notebook illegible. Taking the advantage of this situation, raghava again denies taking money from rakesh.

This is the problem databases face - a single point of failure.

Irritated by this problem, gayathri comes up with another solution. She suggests maintaining multiple notebooks. She chooses some trustworthy people from the society and gives them a notebook each. Now every time a transaction or exchange takes place between two people, gayathri instructs some of those trustworthy people to mention the transaction in their notebooks. So the data is repeated in the notebooks. Now, even if one notebook is destroyed, chances are that all the data regarding transactions are still present in the combination of other notebooks.

This is a distributed database and multiple notebooks are the multiple nodes.
But next day, another problem arises. gayathri has a friend named Raju who owes a lot of money to some people in the society. He asks gayathri for help and she agrees to help him. She instructs all the people with the notebooks to remove the entries where Raju  received money. Now Raju doesn’t owe any money based on the notebooks. Here,comes the technological solution.. The Blockchain 

This  is the problem with distributed databases - they are centralized. That means one single entity owns all the nodes/resources and can make changes as they deem fit.

When the people from the society come to know of it, they remove gayathri from the leadership.

1. They  decide to keep a notebook each. Every time a transaction is made between any two people, all the people from the town come together and mention it in their respective notebooks. So if there are n people in the society, then there are n notebooks and no one person controls the overall representation of the transactions.This is decentralization.
2.  They also decide to never remove or delete an already mentioned transaction from the notebook. This is immutability.

Now when another group of people from the society, let’s call them C, try to change a record in their notebooks, all the other people also need to make the same change(as mentioned in the first point above, all the people write all the transactions in their notebooks). Before writing the transaction proposed by group C, all the other people notice that the transaction is not correct. So they come to realize that C is trying to make a fraudulent transaction. Hence they deny that transaction and not mention it in their notebooks. They also decide to banish the group C from further participating in the group. This is how Consensus is formed and voting is done to decide the validity of a transaction in Blockchain.

•  A very enthusiastic  anitha , gayathri's mom suggested that the transactions form a chain, so they decided to call the collective set of fully replicated, decentralized, immutable notebooks as Blockchain.

So, well. This is the easiest example I can think of to explain Blockchain.

-The Blockchain is a decentralized, peer to peer, immutable storage network which is censor free and regulator free because of -the absence of one single controlling entity. Every transaction that is written is voted upon by a majority of nodes and changing something which was written before in the chain is computationally very difficult.

                                                                      - Pasupunoori.Raghava

                                                The tech savvy..........