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.

The Benefits Of Artificial Intelligence In The Workplace

Artificial Intelligence is quite a trending topic in modern technology with many businesses adopting its use in their daily operations while others are skeptical about its relevance in the workplace. Let me show you the various benefits of AI to the workplace and how it can make your business grow as well as save time and money.

Simplification Of The Recruitment Process

Human Resource Departments are faced with the task of hiring staff which is quite daunting, frustrating and equally expensive, with personnel having to shift through a large number jobs applications for a relatively few vacancies, but this scenario is gradually becoming a thing of the past with the use of machine intelligence i.e. Artificial intelligence.

AI reduces the stress related to the hiring process through the use of the following ways:

Interesting job descriptions are written by recruiters through the use software known as Textio. This augmented writing platform compiles various job postings and puts forward to consideration suitable content to encourage the submission of more applications from job seekers.

Candidates for various job vacancies can schedule their interviews, allowing them to choose a time must suitable for them and also provides a chance to reschedule. All these are possible through the use of the Montage software.

AI powered software such as Stella match suitable candidates to jobs through the tracking of experiences, credentials and qualities sought for by employers.

Removal Of Repetitive Tasks In Daily Business Operations

Scheduling, rescheduling and cancelling meetings are quite stressful to administrative staff but the use of tools such as X.ai helps by performing these tasks diligently.

Recording, transcribing and sharing notes during meetings are also tasks which can be handled by artificial intelligence.

Improvement In Handling Issues Related To Sales, Marketing and Customer Service

Chatbots are forms of artificial intelligence that can help with support outside the company.They gain experience from real sales and customer reps and use this to assist customers in purchasing goods and services. Questions regarding marketing and customer relationship management (CRM) can also be handled by GrowthBot through the mining of data, both of the public and the company.

The Identification Of Security Risks And Protection Of Data

Financial institutions such as banks apply AI based technology to point out security risks and protect data. Examples of software which make the use of Ai in such cases include Darktrace, Exabeam and SparkCognition.

Increased Productivity

With AI handling most of the mundane and repetitive tasks at the workplace, workers are free to channel their efforts to more important tasks thus increasing productivity.

Productivity could also be boosted and monitored by machine intelligence by helping them discover areas that have high labour costs and other obstacles to increased efficiency.

Will Artificial Intelligence Replace Humans In The Workplace?

With the above examples, some individuals might be tempted to think about losing their jobs to AI powered tools since most tasks in the workplace are getting automated gradually, but their fears are unfounded as human input is indispensable despite the presence of artificial intelligence.

Artificial Intelligence basically handles tasks which could affect productivity and allows workers to be action-oriented and gives them the chance to be more creative.

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.