Should You Use Two-Factor Authentication

What exactly is two-factor authentication and what started it? Two-Factor Authentication happens when you are required to use two types of identification to log into a web site or open your email. It was started because people were using weak passwords or no passwords at all.

Normally the first factor is a password. As a reminder, your passwords should use numbers, capital and small letters and symbols. They should not be any sort of dictionary word and be at least 12 characters long, the longer the better. You should never reuse a password. If used correctly, you will need a password manager to remember them all. Getting one it is well worth it.

The second factor can vary widely from fingerprint or facial recognition to the web site sending you a numeric code via text or email that you must enter into their web site as part of the log in process. Google, Microsoft and others are working on other methods of authentication that will be secure and make it easier for the end user.

The best type of security is the one that people will use. Two-Factor Authentication takes a little longer to log into a web site, it will add 15-30 seconds. That time would be time well spent to protect your security. Web sites; especially banks, financial and health care sites, want to be sure that when a user logs in it is in fact the correct person. This is very difficult to do with just a password. Think about all the passwords stolen last year due to hackers.

This is where your phone is used to confirm your identity. Say you log into your bank’s web site. If you use your phone for that login, your fingerprint or facial recognition can be used to ID you. If you use a desktop computer, they will usually send a numeric code to your phone that you use during the login process. In either case you gave the bank your mobile phone number, so they have at least some assurance that it is you. You also enter your password that matches what the bank has on file. This is how Two-Factor Authentication works, two types of identification.

As I stated earlier, web sites and companies are working to make this login process easier and more secure. This is a hard job as easier and more secure don’t always work together.

George Uliano is a security professional with years of law enforcement and security experience. He earned a Bachelors Degree in Criminal Justice and Business graduating with honors. George holds three U.S. patents on different locking principles. This combination gives George and His Company Locking Systems International Inc the unique ability to provide its customers with the correct security at an affordable price.

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.

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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.

The Pros and Cons of DBaaS-Database As a Service

DBaaS enables you to test drive multiple solutions and only buy the licenses and hardware you need to be successful.

Almost every business these days is data-centered. Whether the data is for internal applications and systems, or for other services that are offered, let’s face it…

Managing data is a key to success.

Before listing the pros and cons of DBaaS, we need to explore a few decisions businesses have to make.

These include numerous quick decisions about data handling that can set them on a path that, if incorrect, are difficult and costly to correct. Those decisions are:

· What database type to use, SQL or NoSQL?

· What are the data storage and query needs? Transactional? Big Data?

· What database system to use? A few SQL choices might be Oracle, MySQL, MSSQL, and Sybase. A few No-SQL choices might be MongoDB or Cassandra.

· Do we have DBA (database administrator) talent or do we have to hire?

· What kind of server or resources are needed? What are my power, server, disk, processing, network, and IO requirements?

· How do I maintain, backup, administer and otherwise own the database framework?

· What is my cost of ownership?

First let’s explore which database type to use, SQL or NoSQL.

Traditional database types classified as SQL have a significant place in businesses and are a mainstay for business choices. However, as companies start to create applications that drive decisions based on significant database analysis of large, almost unfathomable amounts of data, they migrate to NoSQL solutions like MongoDB or Cassandra.

The architecture of NoSQL makes it a good choice for big data solutions while the built in protections of a transactional based system like Oracle make it a better choice for banking or similar solutions.

When it comes to picking a specific system, businesses tend to stick with what they know. In other words, if they already have Oracle, and Oracle talent, then when management asks those individuals which database system they should use on Project X, it should be no surprise that they pick Oracle.

Matching a specific database system to a set of business requirements is an arduous task that should always be looked at with a fresh perspective. It should not just be based on what talent is already employed or what systems a business is comfortable with.

Let’s face it, if a business picks correctly, all is good. If they pick incorrectly, they have wasted a lot of resources which equates to dollars. Enter DBaaS.

Where DBaaS excels is that it gives businesses the ability to test the waters a bit, to try before they invest heavily.

DBaaS acts as a stepping stone to total ownership, a cost effective solution to help you figure out your needs prior to investing heavily.

DBaaS has both pros and cons.

First, it is necessary to distinguish between “hosting database systems” and DBaaS.

There are many cloud based solutions that “host” a database system but provide no significant help in configuration, tuning, consulting, and providing the talent needed to actually use those systems.

True DBaaS provides both the system and the talent to help you utilize the database and determine how to store, query, and analyze your data. The value of DBaaS goes way beyond the hosting.

The pros of DBaaS include:

· No equipment or software licenses.

· Flexibility. Multiple choices are available to test drive your applications and pick the right platform for your business requirements.

· Significantly less staffing requirements. The DBaaS provider handles installation, configuration, and in many cases development.

· Offsite hosting, providing protection from local power failures or disasters. Many businesses design their system with power redundancy in mind, but, in reality, rarely meet those goals.

· SLA agreements that have redundancy, uptime, and backup protections. A DBaaS provider has intent focus on protecting your data.

Meantime the cons of DBaaS include:

· Limited access to underlying servers. This can present itself as a feeling of no control.

· Very little knowledge of how your data is protected from cyber security threats. This can be dangerous for sensitive data.

So how do you decide? Is there a transition from one to the other? Yes, almost always, but by following a few guidelines to start with, DBaaS can be used properly.

Those who wish to use DBaaS should adhere to the following guidelines:

1. Do all development using DBaaS. This is your chance to test drive different architectures and features.

2. Unless you have full disclosure of how your data is protected, managed, and secured by DBaaS providers, it is suggested to consult with database architects to host sensitive data internally. Note, this is typically not big data. When we use the terms sensitive data, we mean just that. Data like SSNs, account details, financials, personal data, etc. Does this mean that you cannot use DBaaS for this? No, it means that you first have to find a DBaaS provider that will show you everything from how your encrypted data gets in their system to storage, access, etc.

3. When you are not sure of what your database needs really are, use DBaaS first. This lets you try SQL or NoSQL. This lets you explore the encryption capabilities of Oracle versus MySQL. Think of DBaaS like buying a car. You test drive sedans, trucks, and SUVs, and try different manufacturers and features. You may decide to lease or buy.

4. Always monitor and evaluate the cost of ownership. As your system grows, the operating costs might make sense to drop DBaaS and build an in-house system. By then, however, you have already decided on what you really need.

The goal with DBaaS is to test drive multiple solutions and only buy the licenses and hardware you need to be successful. You can then hire the correct talent to manage your system.

David Moye is a Principal with Forensic IT in St. Louis, MO, a firm providing big data solutions to companies nationwide. David helped found Forensic IT in 2003 and has some 25 plus years of experience as a software engineer and solution architect. Along with at least a half a dozen core programming languages, he is a certified DBA in Oracle and Sybase and has spent years working with MS-SQL and MySql.

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A summary is necessary for a variety of study newspapers. next step is going to become to get out more on the subject of the expository essay structure. Research until you compose the article. Since you may observe the capacity for an consensus on the disagreement about whether gender education at schools is a acceptable or not, is some thing which will take a while that occurs.

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Academic papers find it impossible to comprise some signals of plagiarism. If you detect the writer did not present precisely exactly what you expected, request a revision, then and we are going to make the corrections. School essays are somewhat regular in company and science courses and careers, but may also be practical to get a wide variety of original disciplines. It’s very sensible and an easy task to relate to with no encounter using war. So long as the innerworkings of this outline are correct and also the facts tangible, most professors won’t be too finicky about the grade of your outlining skills, also also certainly will simply spend the occasion to supply you swift responses on your own ideas and company. English, industry, management no matter what discipline of study you’re in, you’re likely to get at compose a number of documents.

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The studies have seen an influx of graduate students and post-docs trying to find a field at the place where they can make an effect. The thing which makes math difficult for many students is the fact that it requires patience and persistence. As you can picture, studying matter at the subatomic level is hard.

Quantum physics states this isn’t true. The maturation of a blue LED however proved a lot more dissertation writing challenging to scientists. As stated by the American Association for the Advancement of Science, the study of physics can be challenging as a result of the requirement to come across equations describing changes of a system over a time period, and this can’t currently be carried out with the assistance of computers.

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A free body diagram of the full beam can be utilised to figure out the reaction forces. There’s no overall equation to figure out the normal force but there’s a procedure to figure out the normal force. For some time to develop, the force must act upon the body in such a way that the body would start to twist.

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The Physics problem you’re reading may appear difficult to solve at first but take another look and start to analyze it and you will see that is simpler than you first thought. The log line will be able to help you boil your story down to its primary drama. Only that his book is so poorly researched and argued that it is difficult to imagine why so many folks have given it such important acclaim.

There are times that you believe that you are saving the world when it doesn’t require savingit is merely misunderstood. On a single occasion, someone had to be at my house to find a furniture shipping. Well, let’s claim that the actual world to digital world program interface will catalyze the maximum jump in code production in history, and the huge majority of it is going to be based on open source.

What Is Quantum Mechanics a Physics Adventure

In classical mechanics, objects exist in a particular place at a particular time. At the close of the day, the easiest and most parsimonious view, I believe, is to say that things just are http://icosa.hkbu.edu.hk/writing.php composed of their properties, with no important nub besides. The box might stay in place.

A different post written for pilots describing the AGSM technique with recommendations on how best to boost G-tolerance are available here. One of the principal explanations for why physics is hard for many students is because they have a tendency to memorize algorithms in place of understand the thoughts and concepts. These examples of feasible focus groups in various areas aren’t meant to be exhaustive.

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It’s a force which exists between all charged particles. Cosmic rays, and muons particularly, are tough to detect since they are traveling extremely fast and pass through most materials without interacting. Now another vital distinction is that elementary particles are true point particles, and therefore don’t have any internal substructure.

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The proper technique is selected based on the problem to be solved. Many calculations involve iterative procedures which include self-consistent field procedures. If a more position measurement is created shortly afterwards the wavefunction will nonetheless be the very same as when the very first measurement was made (because nothing has happened to change it), and thus the exact same position is going to be recorded.

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Rewards don’t need to be huge, they are sometimes small things like that. You have to stay excellent form and you may not fail.

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Maps are the end result of abstracting from territories. Approximately 5000 years back, the Chinese were the very first to use magnetic energy. They only exist as a result of an interaction.

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There’s a whole lot of history to be overcome. The main reason energy is so tricky to define is since it’s an abstract notion. In other words, there’s a lot to learn and only a limited time to receive it into your brain.

Picking out the history of ancient physics can be hard, mainly since it is extremely hard to separate it from different fields like astronomy, mathematics and alchemy. Schlosshauer has written an superb survey of a field that’s of the best possible interest for those foundations of quantum physics. You need to be comfortable with math up through algebra to comprehend and work chemistry issues.

Schlosshauer’s book is a must-have for anybody interested in an comprehension of quantum theory. Quantum mechanics, and particularly, Schrodinger’s Cat, is a fairly fuzzy subject and conceptually challenging to comprehend. Quantum mechanics with over 1 particle.

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.

Machine Learning’ Predicts The FIFA World Cup 2018 Winner!

How can we forget Paul the Octopus who predicted the winner of the world cup in 2010 which had gone viral globally? The Octopus used the flags of both the teams, which were presented in front of him in a box before a game, and the winning team would be selected the box from which Paul would eat first. Paul had 12 correct predictions out of 14.

The result of any given sports game is unpredictable, yet we humans try and predict results either on the basis of statistical analysis, or simply a hunch. Predicting the winner of any a game is part of the game viewing experience and has been a crucial selling point for the betting industry since the beginning. Another interesting method to predict results of games has recently surfaced: Prediction by using Machine Learning, in which the winner of the game or the tournament is predicted by companies who’ve used several different algorithms to predict these results.

Below are some of the companies that used Machine Learning to predict the results of the FIFA World Cup 2018

Prediction by the Technical University of Dortmund In Germany

An algorithm was developed by a team which included researchers from German Technische Universitat of Dortmund, the Ghent University in Belgium, and the Technical University in Munich. The algorithm is fed data which ran approximately 100,000 simulations to predict Spain as the winner.

Prediction by a San Francisco Based Tech Firm – Unanimous AI

San Francisco based technology firm Unanimous AI tried, their hands on the this. Here is what their Founder & CEO had to say “These predictions were generated using swarm A.I. technology” Further, the founder & CEO stated that “This means it uses a unique combination of human insights and artificial intelligence algorithms, resulting in a system that is smarter than the humans or the machines could be on their own. It works by connecting a group of people over the internet using A.I. algorithms, enabling them to think together as a system, and converge upon predictions that are the optimized combination of their individual knowledge, wisdom, instincts, and intuitions”. The final outcome of their simulation pointed that Germany will defeat Brazil in the finals.

Prediction by Goldman Sachs

Technology Teams within this American multinational investment bank, have also tried its hands on predicting the FIFA World Cup winner of 2018, and their machine learning program has given them a final test result. The winning team predicted by Goldman Sachs, using machine learning in Brazil.