Afterlife Bots – A Dead Man’s Petition

No, neither am I a Ted-famous Tech geek spiritual guru nor am I in contact with the afterlife. I am just fascinated by the buzzwords “Machine Learning” and “AI” and a little overwhelmed by the number of articles mentioning those words on my news feed.

I remember reading a line in a news article that “Bots are getting better at imitating humans”. Why not hire one and decrease workload by 50%. Well, I suppose we are working towards it.

Google recently announced that their AI-enabled assistant (with 6 voices) can book a hair-cut appointment seamlessly (Well I want a shave as well, and I want it to go and do grocery shopping handpicking the freshest tomatoes from the lot).

Jokes apart: kudos to the team of brilliant scientists, engineers, and others who are working day and night to make this happen.

Coming back to my original story.

Let’s start with Human life (and relationships) – Data Gathering

“Quite a digital world”. We are capturing and storing our personal life events as much as we can digitally (Thanks to social media, external hard disks, and pen-drives). Why not store our entire life in a 1000 Petabyte storage device. Capture every second – actions, events, habits, decisions, etc. Imagine if we can see and experience our parents’ childhood or see “What all Mahatma Gandhi did in his entire life”. Interesting right?

We all know how quickly robotics, machine learning, and AI are evolving.

What if we combine robotics, machine learning, and human life data? Can we create a human replica bot which would respond similarly, make decisions similarly, have similar habits basis the 1000 Petabyte data fed. All in all, can that bot be my replacement after my death?. Can it be my AFTER-LIFE BOT?

Literally, nothing can replace a dead human being. I was not fortunate to see my grandfather or meet him. But will my great grand/grandkids know about me? The answer is I do not know. We all are striving hard to leave a legacy behind us. Why not use robots and machine intelligence to duplicate ourselves. We do have ample amount of data to feed ~79 years (average age of human being) or ~2 Billion moments. Don’t you want your great grandkids to remember you after you are gone?

With a simple Google search, I got a news article mentioning “Mind Clone” – the idea of uploading the memories, thoughts, and feelings of a person into a computer. It mentions that the companies such as eterni.me, Gordon Bell’s MyLifeBits, and Terasem’s Lifenaut are all pursuing Mind Clone to help a person’s personality, work and relationships survive after death.

Python Language: Why One Should Learn It and How It Can Help

Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages. This is the reason why Python language has become so famous recently. The Python community is growing bigger day by day as many programmers are now finding it to be one of the most user-friendly programming languages.

Python language has become so famous that every field and sector is now a user of it. Even though the other programming languages are not losing their fans, Python is increasing its fan base. Therefore, more and more people are now aspiring to learn Python. Some of the reasons why having a certification in Python can be helpful are discussed below:

Machine learning

Today, almost everything runs through algorithms, whether it is a search engine, social media, chat bots, virtual personal assistants, etc. These sophisticated algorithms are the result of machine learning and it has changed the entire technological scenario. With machine learning, the major programming language that is been used is Python, and one can find many libraries dedicated to machine learning only.

Big data

Python is used in data science the most and the professionals in this field are required to have expertise in this programming language. Though there are many other languages like Java, R, etc. which is used for data science, Python remains the favorite. This is because of the diversity it allows in automation technology, along with with the various framework and library available like NumPy, PyBrain, etc.

Web development

There are many websites these days like Reddit which are developed using Python language. The main reason why the Python programming language is used in web development is its speed and effectiveness. Using PHP developing a website can take hours, while using Python will take only a few minutes. Also, there are frameworks and libraries like Django and Flask which make the work much easier.

Community

One of the areas that programmers search for these days is the communities. In these communities, the developers and programmers can connect with others from any part of the world and can share their experiences and technologies. This helps them in learning new things about Python and how to solve various issues that may arise while coding.

Libraries

Libraries are really helpful when it comes to application and website development. One can find any kind of code. Python has a huge number of frameworks and libraries like Flask, Django, NumPy, Scipy, Pandas, Tensorflow, Keras, etc. One needs to concentrate on the logic and objective and the codes are easily available in the libraries.

Simple

Lastly, the biggest reason why programmers use Python is the fact that it is a simple programming language. It is a beginner user-friendly language as it does not require a lot of complex codes and syntaxes which are not understandable. Python has an easy and readable syntax and coding which makes its set-up and usage much easier.

How FinTech Is Seeing A Major Growth in India

With a population of more than a billion, India is definitely a promising sector for the FinTech. Before we move ahead, let us first explain what FinTech is. In simple terms, FinTech is the industry that comprises of the companies that use the technology to offer financial services. These companies work in different areas of finance management, insurance, electronic payments etc.

In the past decade, FinTech has taken over globally and is expected to rise in the future as well. India isn’t behind in this global trend. With over half a billion invested in the Indian FinTech over the last three years, the segment only shoes promising future of growth.

In 2015, around 12,000 FinTech came up globally making up the total investment of $19 billion. It is expected that by 2020, the global investment by FinTech will be $45 billion, which is a steep rise of 7.1%. According to the NASSCOM reports, India has around 400 FinTech companies with the investment of around $420 million. Reports also suggest that by year 2020, the investment of the FinTech companies in India will increase to $2.4 billion.

With the help of government regulations, banks and other financial companies, India has formed a favorable ecosystem for the growth of FinTech. FinTech is helping bring about the change in the personal financial management through e-payments and e-wallets, in the country that is predominantly cash- driven.

Number of reason contributes towards the growth of Financial Technology in India. The number of internet users in India reached to 465 million in June 2017. With more and more number of people depending on the internet for varied reasons, the digitalisation has taken a new turn. Government’s effort in bringing the digital revolution through ‘Digital India’ campaign is opening many opportunities for the existing FinTechs and start-ups.

Government Regulations:
Government has realised the potential of Financial Technology in India and is constantly making efforts to make the regulations friendlier. In 2014, government relaxed the rule of KYC process for customers making online transactions and payments up to Rs 20,000 per month. It is expected that the government will lay out new set of norms to revamp the P2P lending market.

To promote cashless transactions, government is now offering tax rebates to the merchants for accepting at least 50% of electronic payment.

‘Jan Dhan Yojana’ aims at providing a bank account to every citizen of India. Since the launch of the scheme in 2014, 240 million bank accounts have been opened. FinTech start-ups can use the opportunities to provide easy and seamless transaction service.

Incubator and Accelerators:
The role of incubators and accelerators are not limited to funding but also strengthening the financial industry. The incubators provide the obligation free environment for the start-ups. India is among the top five countries that show promising results for the start-ups. The initiatives ‘smart city’ and ‘digital India’ are set to strengthen the technological infrastructure of the country. To show the support to FinTech start-ups, banks and financial institutes have partnered with incubators and accelerators.