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Why VPNS Became so Popular in 2020

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Virtual Private Networks, or VPNs as they’re commonly known, experienced a tremendous surge in popularity last year according to analytical firm Statista.com. Italy had the biggest demand for these security tools at 160%. The US followed next at 124% while demand in Spain, Russia, and Iran increased by 58%, 57%, and 49% respectively.

Virtual Private Network increased demand coincided with the spread of Coronavirus. And there are perfect explanations for it. Below are some of them:

Providing Security to People Working from Home

The spread of COVID-19 in 2020 disrupted millions of businesses around the world. People couldn’t report to work for safety reasons or government mandates. This forced a lot of companies to shut down, reduce operations or create work from home environments.

Working from home quickly became popular since businesses could continue operating amid the pandemic. But it posed a security threat. Hackers could easily intercept data while employees accessed workplace software or while communicating with clients.

To help protect data, many companies resulted to VPNs, relatively cheap security tools that can be set up in a few steps. Virtual Private Networks provide security by encrypting data through military-grade algorithms. They also transmit this data via hack-proof protocols.

Anonymizing Employee Internet Connections

A report by CNBC shows the number of security hacks increased by 273% in the first four months of 2020. The huge spike was the result of a rise in the number of people working from home and business transacting online in general, especially banks.

A huge portion of the attacks targeted small businesses. This helped create awareness about VPNs, security solutions revered for their ability to create anonymity. So, what is a VPN and how does it anonymize connections? 

Virtual Private Networks provide anonymity by tunneling your Internet traffic through secure servers located in different parts of the world. When you connect to one of the servers, the VPN hides your IP address and replaces it with a temporary address. This way, hackers can’t identify your true IP address and infiltrate your computer with malware.

 Providing Secure File Sharing

One of the biggest downsides of working from home is that it adds security vulnerabilities. Between accessing your workplace computer and sharing files, data can easily be intercepted by unauthorized users. VPNs provide a secure environment for sharing sensitive office files.

Virtual Private Networks secure remote file sharing works similarly to how they protect all other connections. They mask users’ IP addresses and encrypt their data. As a result, no one can identify the two people sharing data. And even if they did, the data can’t be decrypted.

Businesses can also secure their office network with a VPN or SSL encryption. A VPN is the better option because it can protect all parties that use the office network. It’s also cheaper and user-friendly.

Bypassing Geo-Restrictions

Although working from home proved to be a secure option, it provided some inconveniences for businesses with employees in different geographical regions. Some countries block social media, entertainment websites, and apps.

For businesses that depend on these platforms to increase their bottom line, the best solution for unlocking blocked content was to use VPNs. Virtual Private Networks allow anyone to unblock any website no matter which city or country they live in.

To be clear, not every VPNs are suited for the job. Some providers can’t geo-pass websites that use complex firewalls. If you’re looking for a site that can unblock Netflix, Hulu, or European football networks, find a VPN with a track record of bypassing these platforms.

Security for Torrenting

Another reason behind the popularity of VPNs last year coincides with the growing demand for torrent sites. Last year, many filmmakers canceled their projects. That meant the millions of fans that depended on movies and TV for entertainment had fewer options. 

This created a demand for torrent sites because these platforms allow people to stream or download films free of charge. Is it legal? Torrenting is illegal in many countries. Torrent websites are also marred with malware programs, hackers, and other security threats that necessitate the use of VPNs.

Of course, Virtual Private Networks provide protection by encrypting your data and tunneling it safely. Depending on which specific algorithms and protocols a VPN client uses, your VPN connections can be fairly safe or ironclad safe.

The most recommended data encryption method is 256-bit. It’s the same system the US government uses to secure classified data. When it comes to transmitting your encrypted data, look for a VPN that uses OpenVPN by default. 

Growing Security Threats among Mobile Users

In this era of mobile devices, hackers no longer limit themselves to Windows and Mac Computers. They’ve been infiltrating mobile devices left, right, and center. Last year, as cybersecurity threats grew among mobile users, the use of VPNs became unavoidable.

The average Virtual Provider Network provides protection on all major devices. That means you only need one account to protect your iPhone, iPad, and Android devices. All the same, the security tools use the same protection techniques used to secure desktop computers.

Security aside, mobile device owners also went after VPNs to unlock entertainment sites. Mobile devices are the primary sources of entertainment according to recent studies. That means the majority of people looking for VPNs to access entertainment sites are mobile device owners.

To Avoid Network Throttling

With lockdown in place, most people were stuck at home spending time with family, playing video games, and taking online courses. But there was a problem: many Internet Providers were throttling their networks, especially gamers.

For the uninitiated, network throttling means slowing down one’s Internet connections. ISP providers do it all the time. Some companies slow down your connections to avoid network overload. But many providers slow down your connections to protect their bottom line.

Either way, a VPN is a great security tool for preventing network throttling. And last year, it proved to be pretty effective in helping gamers avoid bandwidth throttling. This works through the simple trick of hiding your IP address and encrypting your data, ensuring ISP providers can’t identify you or what you use your bandwidth for. 

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Benefits Of Machine Learning In Logistics Industry

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The introduction of modern technologies like machine learning and artificial intelligence has improved the unorganized and fragmented logistics domain to a great extent by bringing in modifications like smart rules, autonomous vehicles and predictive analysis. The introduction of machine learning in the logistic sector has effectively managed rising fuel costs, growing client demands, and global economics. Read on to find the other benefit of machine learning, the logistic.

Precise Forecasting Of Demand

Using artificial intelligence in the logistics domain has led to evaluating thousands of disparate data sets and suggesting the steps to be taken on such findings. Machine learning can do everything, beginning from selecting the optimized carrier Option, picking the price and improving the routes. Machine learning uses a predictive analytics model including 58 variables that help make freight forwarders aware of when their average freight can increase or fall. They can create contingency plans accordingly and fix their roots according to the areas with higher demands to save on the additional operational cost. As a result, the inventory has to spend less time in the warehouse, resulting in reduced warehouse costs.

Reducing Fuel Costs

If there can be a reduction of a mile per day for one vehicle in the logistics domain, one can find savings of millions in a year. Many logistic companies have used machine learning technology in their global logistics network. One such technology is (On-Road Integrated Automation and Navigation) ORION that helps vehicles capture data continuously to optimize and plan the routes to be taken. As a result, the vehicle travels millions of miles less on an annual basis, and therefore, there is a significant reduction in fuel cost.

Assuming The Price Of The Load

There are numerous trucking companies today, and prices change daily and on a seasonal basis. Therefore prediction of the correct price is the biggest challenge in the logistics domain. Previously, human experts would guess the costs based on their experience, but now machine learning has removed that guesswork. Machine learning helps evaluate previous freight data and the current weather and traffic conditions to determine a fair price. Freight brokers of the logistic industry also use machine learning to run carrier analytics to understand which carrier has charged what fee for transporting what kind of product. This makes it easy to choose the carrier with the least rate according to the route.

Implementation Of Machine Learning In Warehouse Management

Even though it might seem by its name, warehouse robots are no more of futuristic technology. They are now consistently used in the Logistics industry to track, locate and move inventory within the warehouse. Robots have been trained with machine learning data that uses computer vision to make autonomous decisions that improve warehouse management. A British online grocer, Ocado has built a completely automated warehouse using machine learning. Robotic machinery sorts and stores items that are rarely used in the bottom tires. It also takes a minimal amount of time to find out products and sort orders, and deliver up to 65000 orders in a week. Uses of such scalable and flexible robotic situations will be the standard infrastructure of the logistics domain.

The sudden growth in digitization is making more logistic companies include machine learning and artificial intelligence in their supply chain management to maximize their resources by reducing the money and time spent in tracking goods sent to any location.

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Importance of Listing Software for Multi-Channel eCommerce Stores

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The Ecommerce stores that list in multiple channels usually captivate more customers regularly. If you list the products on multiple channels, it can help in expanding the business by boosting sales. Multichannel can be a lot beneficial for e-commerce. A consumer can buy more than a single channel shopper if he interacts with a company through more than one channel. Moreover, Multi-channel listing software can allow you to set up description and product data by automating product listings. In simple words, this software can improve the workflow and empower the merchants for providing better services to customers.

 

There are many benefits of listing software for e-commerce stores. In this article, we will look upon the importance of listing software for multichannel e-commerce stores.

 

Benefits of Listing Software for Multi-Channel eCommerce Stores

 

  1. Boosts Customer loyalty: Multi-channel software allows its customers with a seamless and integrated experience across various sales channels. They can easily make any purchase while performing other tasks from any part of the world.

 

  1. Gather insightful data: The software developers can help you in collecting the data of the customers including the location, the device they use to shop, interests, time zone, demographics, and their purchasing history. This data might help you to target the right audience based on the records.

 

  1. Improves Conversion rate: The visibility of the brand constantly improves with the help of software as they ensure more sales avenues. It will also lead to an increase in sales by attracting more prospective consumers.

 

  1. Expand reach: If you will use multi-channel software, it is most obvious that the customer reach will expand. Amazon can also help you take advantage of placing the service or product in front of a wide range of customers. It ensures greater revenue by fulfillment and checkout processes that are offered by the software.

 

  1. Helps you integrate your business– The software helps you in the integration of various business aspects like sales, inventory, resource planning, and enterprise, merchandising, and customer service. All the aspects are performed together for an efficient product.

 

  1. Diversifies Risk– A multichannel e-commerce software can help you diversify the risk by sustaining on other channels. Also, it protects you against relying on the risk of the sales medium.

 

  1. Adds convenience for customers- While shopping online, most people search for lower prices of the products. The services that come along with low-cost products do not give convenient facilities but those products which are of higher quality bring more convenience to the customers. They have easy return policies and are delivered on time.
  2. Improves demand sensing- The software helps to improve the performance of the business. It makes every sales data and performance visible leading to perfect inventory management and accurate sales forecast.
  1. Improves inventory transparency- Within every stocking location, you can easily monitor the inventory of the product.

Conclusion:

Multi-Channel eCommerce software can help in centralizing the tasks and providing the customers with a seamless payment experience while keeping the data and inventory organized.

 

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7 Steps to Improve Your Data Testing

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In the 21st-century business landscape, big data is the key that holds the answer to every question or doubts that you may have. Businesses of all shapes and sizes are analyzing their data in order to discover insights that will help them gain a competitive edge. By improving your data testing efficiency, you can stand to benefit greatly. Here are seven steps that will help you to streamline your data testing platform and arrive at insights with minimal effort.

Step 1 – Ensure that the Requirements are the Same: In an Agile environment or even a waterfall environment, it can be very easy for team members to get carried away. It is crucial for you to ensure that all the members of your entire team are working with the same requirements.

Step 2 – Come Up with a Test Plan: Sometimes, the work seems very simple and the testers are tempted to not draft a test plan at all. However, it is a good practice to draft a test outline or plan so that the testers have clear boundaries to work with.

Step 3 – Select What You Want to Test: Testers need to ensure that the data that they are working with is valid or not. This is one of the first responsibilities that you will need to take care of. Ensure that the format of the data is accepted and valid.

Step 4 – Pick an Environment for the Test: Before you commence your test, you will also need to choose an environment for the test. Try to include SQL statements with the test plan so that you can test any new cases that crop up. This is a very efficient method.

Step 5 – Verify How Much You Want to Test: One of the key problems with big data is the sheer scale of the dataset. The key responsibility of a data tester is knowing how much they want to test. This amount will vary depending on the needs and the project.

Step 6 – Keep an Eye Out for Outliers: While you are testing for data, it is also very important to keep an eye out for “weird” data and outliers. If there is something that looks invalid or “weird”, you should track it down ASAP and then report it as well.

Step 7 – Focus on Your Test Objective: Lastly, it is also very important for the testing team to be totally focused on their test objectives. With large data sets, it can be easy for the testers to get distracted – which is precisely why you need to be vigilant and focused.

To sum up, these have been the 7 core steps that you need to follow if you want to increase the overall efficiency and efficacy of your data testing team. You should also remember to check the data so that all of the boundary conditions are met. The test data also needs to be updated on a very regular basis. By creating the proper test data, you will be able to ensure that maximum coverage is provided during the test.

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