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There are a wide variety of options due to the vast range of educational systems, institutions, and virtual platforms around the world. Choosing one's career is often a dilemma as there are nested options within any chosen career path.

In this post we'll go over a potential technical interview problem.

Python came into existence in the late 80’s, which was influenced by the programming languages such as Modula-3 and ABC. Since the first release in 1991 to becoming an open source programming language, Python has evolved through the times and has gained immense popularity among the programmers to this day. Python is powerful, yet simple and easy to learn. With an abundant support of libraries, Python is the most accepted preferred programming language. The rapid growth and utilization of Python as a programming language to various fields of work has seen an increase in the number of job prospects as a python developer, marking a wide range of field of interest for every individual.

Introduction

Data Science is the hottest job of this century and companies irrespective of the domain they work on are expanding their business to support analytics and make meaning insights from the data. Data has become an asset to every organization wherein it helps in taking business decisions and helps in the growth of the organization.

Are you interested in developing website but confused where to start with? Then this article is for you. There are a lot many web development frameworks available to start with, Django is the rapid wed development framework preferred by most of the web developers and it is also been used by many companies customized for their independent projects.

Data Analyst and Data Scientist are the hottest careers in the big data world. Most of the budding data aspirants think that Data Scientist is a jargon used for Data Analysts.

Recently edChain, one of the first distributed networks for education, switched from ethereum to Stellar for payments on its content distribution platform. Ethereum, the most popular blockchain for payments, with thousands upon thousands of transactions occurring per day, has run into problems, due to its popularity, particularly high cost, which is the prime reason edChain made the switch.

As large banks embrace FinTech start-ups and their advanced technology rather than compete against them, both parties aim to eliminate the “middle man” in financial services transactions. This “middle man” is a metaphor for the different steps of customer interaction that technology has removed to make banking more efficient. However, in the hyper-speed environment from which bank - start-up integrations emerge, a new middle man - between these parties has become necessary.

Empire Startups, a thriving startup FinTech community, held it’s annual FinTech Conference on Tuesday, April 26 at concert venue Webster Hall.  The sold-out audience of 560 attendees consisted of early stage startups and larger companies in roughly equal proportion.

Data Science is the coveted new career around the block but not many can define the exact role of a data scientist. Being a relatively new field of work with people signing up for the role from different backgrounds, data science as a discipline requires a very broad skill set. Data mining, data analysis, machine learning, business analysis, data visualization, A/B testing are some of the skills a data scientist should have.

At Byte Academy, we teach a variety of courses within the field of Data Science. From our full-time immersive to our mini-courses in topics like Machine Learning and Data Visualization, we're consistently asked about what a career transition into Data Science looks like. To provide some guidance to our prospective students and blog readers, we've asked our own Data Scientist, Lesley Cordero, for her own perspective on frequently asked questions.

The strength and robustness of a machine learning algorithm often lies in the quality of the dataset used to train it. Therefore, it would suffice to say that to gain true mastery within these fields, it is imperative that a person gains experience over a variety of machine learning problems that deal with a variety of datasets - ranging from image processing to speech recognition.

Most publicly available datasets or datasets at the workplace are complete. However, from time to time we encounter datasets where some or many entries are missing. The problem of missing data exists on a spectrum; only a few entries missing among millions is virtually negligible, however, upwards of 10% of missing data can be crippling.

The exact problem of missing data contains multiple layers, so let us proceed to peel it like the onion it is.  At its most basic, enough missing data may skew the distribution(s) the data follows.

The Logistic Regression is an important classification model to understand in all its complexity. There are a few reasons to consider it:

Will this breakdown remain, or will the market get too heavy in those sectors and even out?

We love these infographics from DataCamp which compare some of the many job titles in data science, the "sexiest" of the career of the 21st century according to Harvard Business Review.   The infographics lay out the roles and skills needed for the following job titles:

Meet Josh Panknin, a banker in his mid 30's who took time off from Deutsche Bank in order to study at Byte Academy, the first ever FinTech coding bootcamp and perhaps still the only in the world.   Here, Josh explains why he took a break from Wall Street, the effects of technology and big data on finance, and, what learning to code is like when you don't want to be a programmer.  He also gives advice to those who may want to follow in his footsteps.

The financial industry is no stranger to the power of technology. After all, it has developed its own legion of Quants who use advanced quantitative analysis and programming techniques to exploit big opportunities in the capital markets. Despite being highly regulated, the FinTech industry is booming with the entry of smaller startups looking to disrupt the space with the latest technologies, with data science being at the topmost of the list.

FinTech startup VendorMach provided lessons in artificial intelligence (AI), machine learning, and big data on the Byte campus recently. Topics covered by Chaney Ojinnaka, CEO, and Ivan Kotorov, VP, Enterprise, included:  KYC (Know Your Customer), supply chain, trust scoring and programming languages.  They explained why they chose Python over Ruby for their product.  Python's ability to analyze numbers and frameworks are key (as a Python school we're thrilled:).  VendorMach also discussed FinTech cultural attitudes in London (original headquarters) and New York City  (second office location).  By the end of the event the audience felt much much comfortable with "hot" technology buzzwords including artificial intelligence, machine learning, supply chain and more.

Web developers, rejoice! If you’ve been looking for a way to make a foray into the world of Machine Learning and Deep Learning, your learning curve has gotten that much more gentle with the introduction of the TensorFlow library in JavaScript.

Blockchain: the single most confusing term since Bitcoin. Everyone has a vague idea of what it does. It’s either the ultimate evolution of financial technologies, or a silly fad that can be summed up in the disconcerting phrase: “dogechain.” In reality, major companies around the world have already shown favor to the burgeoning money exchange system and it may become harder and harder to stay away from the financial dark art.
In reality, it is all relatively easy to understand. The Blockchain is a public ledger where transactions are recorded and confirmed anonymously. It’s a record of events that is shared between many parties. More importantly, once information is entered, it cannot be altered. So, if the blockchain is the public record, what is being recorded? What are all of these “transactions”?

Natural Language Processing or NLP for short is a field of computer science, artificial intelligence (AI) and computational linguistics concerned with the interactions between computers and human natural language.  It's a relatively new field and a "hot" area in technology today. Read some more about it from our Data Science instructor, Lesley Cordero. Byte Academy offers a Natural Language Processing mini-course for those who would like to study this area.

Django is a free and open-source collection of libraries written in Python, which follows the model-view-template-controller (MVTC) architectural pattern. It is one of the most popular server-side web frameworks with the motto being ‘Don’t Repeat Yourself’. It is maintained by the Django Software Foundation (DSF), an independent non-profit organization.

No longer just for programmers, analysts, researchers, and managers are now learning python programming as well.

For those who may have missed Finovate two weeks ago, rough cut videos of each presentation have just been published to the Finovate site.  Watch demos online to see the latest from companies on the forefront on FinTech technology.

De Beers, the world’s biggest diamond producer, has tracked its first diamonds all the way from the mine to the jewelry producer using blockchain, the technology behind Bitcoin. It is even planning to launch a platform for other diamond retailers later this year which uses blockchain to track a diamond through the entire value chain.  Known as Tracr, the program gives each stone a unique ID that stores diamond characteristics such as weight, color and clarity.

Redux: It is a library for managing states that follow the principles of the flux architecture & is an independent framework, but for the sake of brevity, we'll assume that we are using it with React.

Docker 

Top Reasons to Learn Python

What is a Keywords Dictionary?

A Keywords Dictionary is a set of words put together based on a common theme. Consider this example, you are managing a bank and you want to improve your customer service. You give your customers a feedback form? For you to make sense of what your customers complaint or talk about, you need to have a list of keywords that are related to the business and this is where the need to have a Keywords Dictionary comes in.

Our student and instructor videos have debuted (the Academy is already preparing their Oscar nominations)...

With increased interest in cryptocurrencies like Bitcoin and Ethereum, there is also increasing interest in the underlying technology, i.e. blockchain. While Financial Technology (FinTech) companies were the first ones to notice the potential of blockchain outside of cryptocurrencies, now more and more businesses are exploring the technology. For e.g.

Can voter preferences be predicted by facial features?   

This was what the Gordon cohort explored in their final project - Politics of the Face presented at their graduation April 8.  One of the team members, a political science major,  was inspired by his involvement in political campaigns before attending bootcamp for twelve weeks.  Now, his experience at Byte Academy will help him master his political passion.   Politics of Face maybe able to save candidates and pollsters time, money and more.  If you missed the presentation, see their slides here.

Throughout the history of cryptocurrencies, there have been several instances of cryptocurrency exchange hacks.  Perhaps you may have even heard of some, such as the infamous Mt. Gox (which is actually an acronym for Magic: The Gathering Online eXchange). We intend to take a look at some of the prominent incidents, identify common patterns, and offer best practices for cryptocurrency traders.

At first glance, the labor market looks dour for many Millennials and Generation Z. In a 2015 report by McKinsey, the International Labour Organization estimates that 73.4 million people aged 15-24 are jobless. At the same time there seem to be job vacancies, particularly in tech:

The SEC and Goldman Sachs have recently tackled the over-and often misleading-usage of the word “blockchain.”  To remedy this perhaps, companies are banning the use of the word “blockchain,” instead using the term “Digital Ledger Technology,” or,  DLT for short?

Podcasts have got to be everybody’s favorite mode of consuming knowledge. They pack a lot of information in a single show, provide you with a fun conversational tone for all topics and are absolutely perfect for those boring, long commutes. Listening to Data Science podcasts is a great way to stay up to date on the latest advancements in the field, coming right from the leading voices of the industry. Here are 10 of our favorite picks -

NLG (Natural Language Generation), a subfield of Artificial Intelligence, is a hot topic in the technology news today. We hear a lot about AI that can soon replace writers and journalists beginning the era of machine creativity. But, what’s all this fuss about? In this article, we unveil what NLG really is and show that it can bring a lot of benefits to businesses and consumers.

When Deepmind’s AlphaGo won 4 out of 5 matches against the then Go Champion Lee Se-dol, the entire world took notice. Heralded as a triumph for Artificial Intelligence, this moment was an important step towards making sophisticated AI powered machines a reality.

In machine learning, we are often in the realm of “function approximation”. That is, we have a certain ground-truth (y) and associated variables (X) and our aim is to use identify a function to wrap our variables in that does a good job in approximating the ground-truth. This exercise in function approximation is also known as “supervised-learning”.  

Recently HealthTech Women, a national non-profit, sat down with our Data Science instructor, Lesley Cordero to get an inside look at Artificial Intelligence, or, "AI" and how it is impacting society, particularly in healthcare and medicine.    Lesley provides her perspective in this interview in addition to a more general understanding of AI and related concepts such as machine learning, natural language processing and big data.

As long as there has been Science Fiction, the idea that machines are smarter than humans has always captivated our collective imagination. But while Artificial Intelligence (AI) has not reached that level yet, we have made considerable advances towards developing machine intelligence, as evidenced by Google, Tesla, and Uber experimenting with self-driven cars. The reason why AI has successfully burst out of universities and research labs into product is largely due to the scalability and usefulness of Deep Learning, the Machine Learning technique making this technological progress possible.

*Exclusive interview from Peter Shiau, CEO and CoFounder of Blockstack.io 

Apply for Byte Academy's Coding Bootcamp with ISA options

pygame is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL (Simple DirectMedia Layer) library. Simple DirectMedia Layer is a cross-platform development library designed to provide low-level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D. Like SDL, pygame is highly portable and runs on nearly every platform and operating system. Millions of people have downloaded pygame itself, which is a whole lot of bits flying across the interwebs.

In the 1940's more than half of programmers were women, yet, that proportion hovers around 25% today, with many studies finding that the actual percentage of women is closer to 10% - 20%.  When big tech companies revealed how few of their female employees worked in programming  jobs in 2014, Google had some of the highest rates - 17% of technical roles were occupied by women.

Taking the decision to start your own venture is never easy. But once you overcome your initial hesitation and take the plunge, your life will take a turn for the better. Here are our 5 tips for every aspiring entrepreneur to keep in mind as they embark on this journey.

As you might have heard, we have just recently found our way into the Silicon Valley of India, a.k.a. Bangalore! Following our first foray into India this month, we thought there was no better time to touch upon the hottest topics in the realm of FinTech in the country. 

Looking for a job after graduation? With more and more students graduating every year, employers have a huge choice when it comes to selecting the most highly skilled and qualified candidates. Therefore it is imperative to gain an edge and beat the competition to get your dream first job. We list out 5 things employers are on the look-out for when hiring graduates.

Hackathons aren't all about  glasses, geeks, pocket-protectors, and Red Bull, although such stereotypes may turn off many from entering them...

A web framework is a collection of packages or modules which allow developers to write web applications or services quickly, without getting into the details of network protocols or network socket programming. Web frameworks encapsulate what developers have learned over the past 20 years while programming sites and applications for the web. Frameworks make it easier to reuse code for common HTTP operations and structure the projects so that other developers can quickly build the projects with the knowledge of the same framework.

Below we interview Liz, a fullstack engineer, and coding bootcamp grad.  Liz works at fintech company Fabric, where she is one of four bootcamp graduates on their nine-person engineering team! Below, Liz shares her experience and provides career tips and insight including regarding employer perception of bootcamp grads and salary negotiations.

Don't have FOMO.  Check out our Singapore FinTech Festival coverage:

We were honored to partner with the Monetary Authority of Singapore on their first week-long global Singapore FinTech Festival in November which coincided with our Singapore campus opening.  The Festival attracted more than 11,000 from all over the world.

No, we did not learn his presidential preferences (although that was a pressing topic). Vikram Pandit, the former CEO of Citigroup Inc. was a guest speaker at the Economist’s Finance Disrupted (#FinanceDisrupted) conference recently in New York City put on by Economist Events (great job Stephanie and Maria)  The theme, “Collaborate or Die,” featured fireside chats with leading FinTech experts on topics such as blockchain, financial inclusion, insurance and more. The Economist news desk Editor-In-Chief, Zanny Minton Beddoes, chatted with Pandit in the late afternoon. In attempts to make this coverage “hot off the press” before the conference ends (!)

Here are some quick interesting bits we learned:

• Vikram still takes taxis (revealed during discussion of the different business models of Uber vs. taxi medallions)
• And, maybe older than we think (guess it’s those genes): He still remembers when Mosaic (?!) was around (sharing this while making the point that FinTech is in early stages)
• He loves Singapore (the moderator brought this up after he mentioned the country 3x) Why? Government policy towards regulation (Byte Academy loves Singapore too :)
• He does not like picking banking partners: Moderator: “Who you would pick as a partner with if you were back in banking?” Vikram: “Thank G-d I don’t have to make that decision.”

Overall Vikram was a diplomat avoiding the moderator’s attempts to extract a true opinion (for instance, he avoided her question “does the US suck with regulation?")

Stay tuned for a more extensive follow-up on the Economist’s FinTech Disrupted conference…

Dimensionality reduction is an important technique to overcome the curse of dimensionality in data science and machine learning. As the number of predictors (or dimensions or features) in the dataset increase, it becomes computationally more expensive (ie. increased storage space, longer computation time) and exponentially more difficult to produce accurate predictions in classification or regression models. Moreover, it is hard to wrap our head around to visualize the data points in more than 3 dimensions.

Data science is an interdisciplinary field where scientific techniques from statistics, mathematics, and computer science are used to analyze data and solve problems more accurately and effectively. It is no wonder, then, that languages such as R and Python, with their extensive packages and libraries that support statistical methods and machine learning algorithms are cornerstones of the data science revolution. Often times, beginners find it hard to decide which language to learn first. This guide will help you make that decision.

Read on how to prepare and ace the Data Science interview from our Data Scientist, Lesley Cordero. Lesley describes her experience taking the technical test at leading tech companies, including Facebook and Foursquare.

By Jithin J and Karthik Ravindra, Byte Academy

Due to an exponential increase in data in the 21st century, a new term "Big Data" was coined few years back.

Bloomberg has a great article on rising demand of blockchain developers and the lack of supply. Our course starts on October 25th, Apply now or contact us to find out more about the course.

Nathaniel - "Nat" - Greenwald, a statistics major in his twenties, decided to break into data science by enrolling in Byte Academy coding bootcamp.  Nat now has an exciting career working as a data integration engineer in the AdTech industry.  Read about Nat's personal experience learning to code in addition to his career tips and advice to those who may want to follow in his footsteps.

Below we interview Gabby, a former Wealth Planning Analyst who enrolled in Byte Academy’s Intro To Python program.  Although he could not persuade his classmates, Gabby signed up for his first hackathon - the Linnia Protocol Blockchain Hackathon run by Consensys, one of the leading companies in the blockchain space.   Gabby both won the hack and advanced his career.  Read how he did it:

Guest post by Arvind Padmanabhan, from Indian Engineering Design Forum, who attended our event this week on "Demonetization and its impact on FinTech and Digital Payments" in Bangalore.

If you’ve been keeping up with technology news, you’ve likely come across one or two articles recently about developer salary. There are some strong opinions out there.

While it may still be warm enough to turn over those hamburgers on the grill, the days are getting shorter, clothes are getting darker; and, although we may resist it, fall is here.  We will soon be spending more time indoors and our extracurricular activities will also be making the switch. So, how do we keep ourselves stimulated and occupied (without the sun, sand and water)?

Python functions are a lot more flexible than you would think. They are much more than just code generation specifications for a compiler. They are full-blown objects stored in pieces of memory as such that they can be freely passed around a program and called indirectly. They also support operations that have little to do with calls at all like Attribute storage and Annotation.

In the standard software industry parlance, a software fork is just a copy of an existing project. Considering the current pre-eminence of open-source software development, a software fork can very often be carried out without explicit permission from the developer of the original project. In case of the blockchain, it is different. A blockchain fork is when a blockchain splits into two separate chains.

Recently Matt Gertler, cryptocurrency attorney at Digital Asset Research answered a big question on many minds recently: are we in a cryptocurrency bubble?  Particularly with the rise of ICOs (Initial Coin Offerings) and China's recent ban on them, this has been on many minds recently.

Finovate 2015, one of the world’s largest FinTech gatherings, was held mid September in New York City, the same city where the conference was first held in 2007. For 2 days, 1500 innovators gathered at this demo-focused conference series focused on showcasing the best and most innovative new financial and banking technologies. Like in past years, Finovate attracted a high-impact audience of senior financial and banking executives. In addition to New York, the event takes place in different locations around the world throughout the year including San Francisco, London and Singapore.  The 24 events over the years have attracted more than 16,000 attendees.

A common question people have with regards to breaking into the tech sphere is if a Computer Science degree is necessary to do so. Data Scientist, Lesley Cordero, delves into this question while simultaneously making an important distinction between the desire to manage a tech company and the desire to program for such a company.

Bitcoin and blockchain, the digital ledger used for bitcoin, have been headlining news.  Bitcoin, once associated with illicit online transactions, is being recognized by big banks. Just this week State Street, one of the oldest banks in the US, made headlines as it set up its own innovation lab to deal with blockchain technology. JP Morgan, Credit Suisse, Commonwealth Bank of Australia, with more banks to come, backed  R3, a blockchain consortium.  To understand Bitcoin, blockchain and the crypto future we sat down with Tim Lee, founder of ArcBit bitcoin wallet, who has been dealing with the blockchain much earlier before the general public, or even large banks, heard about the Bitcoin or its digital ledger.  Tim comes from the start-up background - similar to the Bitcoin and blockchain founders and disruptors.  Byte Academy is excited to announce that Tim Lee will be doing a blockchain workshop October 16 in addition to other part-time classes.

On March 22, Byte Academy partnered again with Finovate Group on the second annual FinDEVr New York.   The conference, which is part of THE FinTech for developers event series,  had been held solely on the West coast for years before its 2016 New York launch. Participating companies showcased new tools, platforms, APIs and/or case studies designed to help developers create better, more efficient innovations. Last year FinDEVr was held for one day.  At two days, the conference was longer and larger -  an indication that the FinTech developer community in New York is booming strong.

We chose Python as the core language of our curriculum (and hope that you choose to learn it).  In addition to it being the highest paid coding language for recent coding bootcamp grads according to Course Report,  Python has many other unique, strong qualities.  Oh, and did we mention that the language is actually named after the movie Monty Python, a favorite of the Dutch founder? For more check out our Python program

Known as the “the Rocket Scientists of Wall Street” (as initially labeled by Investopedia) Quant traders or analysts -  "Quants" - maybe understandingly intimidating to many. However, as their returns increase, more are becoming aware of their power. Quants are a specialized set that cannot be ignored…

Writing a last will and testament is not usually an activity associated with millennials.  However, young people are thinking differently about protecting their families, and, in turn are "disrupting" the will industry like many others. And in doing so, they are dragging Gen Xers and Baby Boomers along with them.

Meet recent grad Stephane Gallet, whose background includes founding a travel company (based in Brazil) and aerospace.  Even before  graduating Byte's immersive blockchain  bootcamp program, Stephane was offered a role as Chief Technology Officer (CTO)/ VP Engineering at one of New York City's leading blockchain startups where he currently is loving his job.  (He even stops by to visit and collaborate with the team from his Alma Mater).

We are excited to have Elena Beloff, top rated New York Post and ABC Good Morning America corporate wellness coach (and hypnotist) team up with Byte's Wellness Program for a meditation session and intro to hypnosis on on the first day of October.

Blockchain technology is commonly misconstrued as being applicable only for cryptocurrencies. As a secure, immutable ledger technology, blockchain can be applied to many use cases in several industries. The very nature of blockchain makes it a secure application for use in transfer of value or as storehouses of critical information. Because of its flexibility, the finance industry is already looking at other use cases for blockchain, one of them being online payments. The transparency and simplicity of blockchain makes it easy for anyone with an internet connection to transfer and receive funds without having to pay exorbitant amounts in banking fees.  

Written by Byte Academy student, Jason Pruski

Everyone seems to be intrigued by Machine Learning, which has become a "buzz word" lately.  Although intimidating,  you can certainly break into the field, or learn more about another phrase we hear a lot, Natural Language Processing. Read some tips and background from Data Scientist, Lesley Cordero, who teaches our Data Science course. Lesley also teaches a class in machine learning for those interested in the particular area.

With the increasing number of cryptocurrencies available nowadays, it’s the right time to look at how to trade in cryptocurrencies. We start with examining your potential objectives, and from thereon, we look at the various factors you should consider before choosing the right trading platform. We also list prominent cryptocurrency exchanges, along with their pros and cons.

We interviewed Kevin Chen, who left his role from Wall Street upon realizing that blockchain technology could disrupt his career there, and decided to make this switch before that happens.  He is now the Founder and Head of the IOTA Evangelist Network (IEN) which spreads awareness of “blockless” (non-blockchain) digital ledger technology (DLT), particularly IOTA’s Tangle protocol (some may also be familiar with IOTA’s native cryptocurrency that reached as high as $15 billion in market cap and top 5 of all cryptocurrencies late last year ).

This Valentine's Day we want to express our love for programming - we've narrowed it to our top five.  We are particularly passionate for Python, the coding language which our full-stack curriculum emphasizes.  It's also used heavily in the data sciences, one of our courses we feel tingly about.  Maybe once you learn some more about programming, you'll fall in love too.

“We’re from Reno, Nevada - we love games like this.”

Course Report, a leader in coding bootcamp information, recently published its 2015 Course Report Outcomes and Demographics Study survey of recent alumni.   National publications such as Forbes and Business Insider have been picking up the news.  Here’s our take on a few items, two in each category.

Read tips from Byte's Data Scientist, Lesley Cordero, regarding how to get started in computational science.

LiquidTalent, a job matching platform focused on tech officially launched last week after gaining a significant presence in its home, New York City. “Liquid Talent,” is an industry buzz word for intensive on the job training and refers to the opportunities to broaden employee skill sets and work on client business in different geographies and across disciplines. LiquidTalent’s job platform matches candidates – talent -  to hirers based on actual projects, rather than resumes.  The significance of school GPA? “Not important,” says CEO and Co-Founder Alex Abelin, “we really want to see the actual work you have done and what you can do.” Alex had been at Google many years before launching his company.

Blockchain has emerged as the next big thing in highly paid IT careers with the demand increasing almost 2000% according to Upwork (global freelancing platform). From a part time passion project to the hottest skill in demand - blockchain technology has come a long way. Blockchain distributed ledger system is proving to be effective in securely storing records of transactions and industries from finance to medicine to agriculture are moving quickly to integrate the technology into their services and systems.

Apply for Byte Academy's Coding Bootcamp with ISA options

Time series data, simply put, is a set of data points collected at regular time intervals.  We encounter time series data every day in our lives - stock prices, real estate market prices, energy usage at our homes and so on. So why should we care about this data? Because understanding time series data, especially of stock prices, could help you to be on a path to make $$$.

Apply for Byte Academy's Coding Bootcamp with ISA options

It is no secret that Cyber Crime is only escalating in this day and age. In fact, in 2016, it was reported that 54% of organizations have been hit with cyber crime in the last two years.  As one can imagine, the banking sector is considered as one of the most vulnerable as far as cyber crime is concerned. 

Bitcoin/Blockchain

Those who’ve heard of blockchain technology at all will likely associate it with Bitcoin, the decentralized, internationally traded ‘cryptocurrency’ which made headlines across the globe back in March when the value of a single ‘bitcoin’ surpassed that of an ounce of gold. For those who don’t know, bitcoins are digital, nonphysical ‘coins’ which can be used to buy goods and services online. The trading of these bitcoins, along with all other cryptocurrencies (of which there are many), is underpinned by a database protocol called blockchain.