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VPN, i.e., Virtual Private Network, establishes a secure connection to public and private networks over the Internet. VPN helps to protect your identity and provides a secure network for accessing data. Initially, the VPN connects business networks securely over the Internet. It also allows you to access a business network from home. What is a VPN? How does it work? Why should you use it? These are some common questions that come in the mind of every person who wants to use a VPN. So, let's find out the answer to all these questions. Contents [show] How Does a VPN Work? How Does a VPN Work It is not rocket science to understand how a VPN works. We can simply learn the process of VPN by reading the following steps. Step 1: At first, you need a reliable VPN provider (ExpressVPN Recommended). Then download and install the software. Now select the preferred security settings and set up a safe connection with your desired VPN server. Step 2: After the connection is established; VPN software encrypts your data traffic on your computer and sends it to the VPN server through a secure connection. Step 3: The VPN server decrypts the encrypted data from your computer. Step 4: Your data is being sent on the Internet by the VPN server and receive a reply, which is meant for you. Step 5: This traffic is again encrypted by VPN-server and is sent back to you. Step 6: VPN software will decrypt the data on your device so you can understand and use it. Why ExpressVPN is the Best? The best thing I like about ExpressVPN is that it has a no-logging policy. Apart, from this ExpressVPN is fast, secure, and keeps your IP hidden. ExpressVPN allows you Torrenting/P2P and even works with Tor for the maximum level of privacy. It has a user-friendly interface and a great design that is easy to operate. ExpressVPN uses the government-grade encryption method as default. You can even try doing it manually. ExpressVPN is the best excellent premium VPN service to trust and work.

Blockchain are certain to disrupt almost all industries fundamentally. Though there are technical issues, the idea of utilizing a blockchain to prove ownership, to prevent double spending and to establish trust and transactions in an otherwise trust-deficient world, is gaining excitement and acceptance. More and more enterprises are getting curious about the blockchain and are willing to start investing in learning, prototyping, and building on top of the blockchain technology. Starting out with the blockchain requires investment in a building the domain expertise, establishing the identity, establishing the infrastructure and deciding the blockchain that the enterprise wants to work with. Among these decisions is the question: Should the enterprise choose a public blockchain or a private blockchain. Both have advantages and disadvantages and the question can often come down to what are the short term goals and potential applications that the enterprise wants to build on the blockchain. Public BlockChains The default option when considering blockchains is the public blockchain. This is the blockchain that is truly decentralized, leverageable for any type of transaction and in the case of the Ethereum blockchain, offers SmartContract authoring capability that makes the blockchain very attractive for building contracts that reflect the needs of the real world. However, for an enterprise deciding between public or private contracts, there are some considerations that require attention. Speed and Scalability Public blockchains tend to be slower as they are limited by the number of transactions that can be verified every second and confirmed every 10 minutes. There are several efforts underway to make blockchains faster and more scalable however those will take time to get implemented. Speed and scalability will continue to be an issue and contracts and applications that require instant or near real time execution will suffer from this lack of speed and scale. Se

This week's webinar features Guest Speaker Rich Stocks Rich Stocks Youngevity business trainingwho has been with Youngevity for 21 years. Rich helped the company to launch in Australia and New Zealand about 20 years ago. He has an impressive history in Network Marketing and as a business entrepeneur. Some of the highlights of Rich's career are: 4 Star Executive with Youngevity Author / International Speaker and Trainer Successful Entrepreneur Youngevity Circle of Excellence Inductee Member of Youngevity Circle of Honor A member of the Multi Million Dollar Earner's Club Featured in The Greatest Networkers in the World by John Milton Fog

A lot has been said about agility and the need for enterprises looking to innovate and disrupt to build agility. Agility, at the same time, also gets confused with the process of scrum. Small and large teams get enamored with the idea of scrum and mistake the process with the state of being agile. This is often more detrimental to the enterprise and can often create more process and not enough real agility. What is Agility Agility is the efficiency with which an enterprise executes and delivers on its objectives and goals. Agility is the ability to react to changes in goals, feedback from customers and shifts in strategy. Agility, from the outside, looks like a predictable stream of value delivered by the enterprise that matches and exceeds the needs of the customer. Organizational agility requires agility at multiple levels within the enterprise to drive the insights that can channel and align the efforts of the entire organization by leveraging data and information to make quick and informed decisions. Business Agility Business and customer-facing employees need to achieve "Business Agility". This is the ability of these employees to react to business critical in real time if needed and have access to the latest information at any decision point. Business Agility enables users to reduce the latency or lag between a need in the market or of the customers and when they are able to service the need. Decision Agility Analysts and data scientists creating the insights to drive decisions require "Decision Agility" i.e the ability to easily discover, leverage and use data for analytics and insights through any and multiple tools and channels. Analysts and data scientists need to produce insights that reduce the time and effort required to convert data into information and insights that are required to drive key decisions and actions. Development Agility Application developers and data engineers need the ability to easily generate, collect, access and deli

The quality or the lack thereof can be a huge contributing factor to a fractured and sluggish digital journey where ROI is hard to achieve and results come in short supply. The quality of data has a direct impact on the ability of the enterprise to be aware of relevant events, its reaction time, the decision time and its action time. A clear and concerted effort is required to measure and improve the data quality to drive better decisions and actions. Common Quality Issues The following are the most common quality issues Comprehensiveness Comprehensiveness quality issues refer to key attributes or data points missing from the data collected by the enterprise. This can occur when the data producing systems or the data delivery networks have glitches or malfunction or are incorrectly configured to miss entire rows of data or attributes of the data. Integrity Integrity quality issues refer to the corruption of the values of key attributes to contain unidentifiable or unreadable data. When key attributes are empty or null when they are by design, not allowed to be empty/null or when an attribute contains a value that does not meet the specifications of the type of the attribute for example, a string column contains an integer or a timestamp column contains a string not parse-able into a timestamp. Integrity of data is important before data can be included in the data set to drive analysis, decisions and actions. Sampling Sampling quality issues refer to the inclusion or exclusion of a certain percentage of the records in a data set with the assumption that the remainder records are good, representative sample of the original data set. Bad or inaccurate sampling can lead to a distorted view of reality and that can lead to bad decisions. In addition, sampling itself can make the data set inappropriate for certain types of analysis that require the entire dat set to be utilized for training. Filtering An upstream filtering scheme can end up removing too many or

Lean systems are meant for producing the best products and services with little or no wastage of various kinds of resources. Lean supply chain management purports to create a well designed supply chain management system where all the resources are effectively utilized. The people, processes, technologies and suppliers will be optimized at the beginning of the implementation and it will be an ongoing process. The best of the best features will be implemented and there will be no room for waste. Lean supply chain helps companies deliver high quality products quickly and efficiently. What is expected from lean supply chain management? In fact, lean supply chain management is a new way of thinking to understand the supplier networks. It is required to have cooperation with various suppliers and should be able to balance it with the competition present in the market. There is a great deviation between lean supply chain management and traditional methods. There will be less number of structures in lean model whereas they are more in traditional systems. Most of the lean supply chain management principles are derived from the basic lean principles. How companies will be benefited by the lean implementation? By implementing lean methods in a systematic way, companies will be benefited to the greatest possible extent. The winning business strategy realizes the importance of the relation between the supply chain management and the overall financial status of the company. By streamlining the supply chain management with all the other core aspects of the company, the business will emerge into a profitable enterprise and will be able to deliver cutting edge solutions. Strategy for lean supply chain management In order to implement the lean supply chain management in an effective manner, it is required to build the core infrastructure and should be collaborated internally and should be executed externally as well. The next step would be the selection of the right kind of

Transforming into a tech company has become top of mind for executives in all major industries. It is clear that modern technology will fundamentally alter what and how business is done in every domain, sector, and industry. This has led to a call to arms in every enterprise to understand how they can transform into a tech company. The Tech Company Magic Tech companies have fine-tuned the art of bring new digital products and services to the market, quickly, efficiently and effectively and understanding customer feedback to iterate and improve. This capability makes them incredibly agile and leads to faster experimentation that is cheaper and involves less risk. In turn, this enables them to bring new capabilities to the market and even if all do not succeed or get traction, a few do and that drives innovation, customer satisfaction, and growth. From the outside, tech companies appear to be massive juggernauts that are unstoppable and able to crush everything in their path. The 'Non-Tech' Technology has been leveraged in every sector and industry, however, it has almost always been treated as a means to an end, something that is required but never the real value driver for the customer. This has led to the typical organizational structure in enterprises into "Business", "Operations" and "Information Technology". The "Business" arm generates value for customers, the "Operations" team carries out the requirements of the Business team and the "Information Technology" team provides the systems (databases, network and compute) required to "keep the lights on" for the Operations and Business Teams" This structure served enterprises well in the last decades as customers did not have an alternative to directly working with the enterprise and this fortified the value supply chain and also established a hierarchy of sorts within the enterprise where the business looked down upon operations who looked down upon technology. The purpose of

Enterprises across the board have a lot of untapped potential in their data. The data is not only relevant and useful within the enterprise but can be a valuable source of insights for the enterprise partners and customers. In some cases, the value of this data can be high that partners and customers are willing to pay extra to get access to this information at a certain fidelity, freshness or scope. Enterprises that do not have a clear and coherent monetization strategy are leaving money on the table. In addition, they stand to lose customers to competitors who gain the first movers advantage by addressing this market need. The Value of Data The first step in determining a monetization strategy is an audit of the enterprise data assets and a determination of the customers who are interesting and willing to pay a premium for access to this data. The Value of Data is proportional to the following: Freshness The more "fresh" a dataset is higher its value typically. This is because there is an advantage in the early visibility provided by first access to new information. 'Freshness' is defined the latency between the creation of data and the delivery of the data to the consumer. Consumers of data will pay a premium for fresh data if it fits into their decision and action strategy. Fidelity Higher the "fidelity" of data i.e. how much detail a particular data point carries also increases the value of the data in the eyes of the data consumer. Higher fidelity data offers more information and detail enabling the consumer to design highly valuable analysis that leverages the additional details offering a deeper insight into the situation at the present or historically. Raw The more "raw" a data set, higher its value as it can support a much larger set of analysis scenarios that a processed data set could support. Data sets that are aggregated, sampled, filtered or transformed can have a lower value as they can severely limit the type of analysis. Raw

Modern, RESTful APIs are not considered standard, table stakes and expected out of any new project, effort, application, system, service or product. It has become so normal to talk about developer interfaces, developer adoption, application development and innovation in the same breath as APIs that a distinct effort to build APIs for a new product or service seems out of place and abnormal. APIs are the defacto standard of app development. So where do we go from here? We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution. Innovation - Starts, and Ends with APIs All modern technologies such as Artificial Intelligence, Machine Learning, ChatBots, Analytics, BlockChain etc. begin and end their stories with APIs. APIs are what enables the communication between front-end user interfaces and the backend technology services. All new machine learning capabilities offered out of the big four tech companies have seen the light of day through APIs. Intent & Sentiment extraction, Topics, Categories, Summarization, Image Recognition, Entity Extraction etc. are all capabilities powered by Machine Learning, Natural Language Processing that is ultimately being delivered as APIs to application developers. Similarly, ChatBots are typically designed to get the user entered text, use an intent API to determine intent and then use a service API to respond to the user conversationally or with a service. Clouds - Multi-Cloud, Hybrid Cloud As the big three cloud providers grow their market share and attempt to attract attention, increasingly, enterprises need to think about how they minimize their risk by building in the flexibility to switch their cloud provider if and when they need. In addition, hybrid architectures or a cloud migration

When most people think of LEAN, they think of manufacturing, and it is no surprise why. A recent post by Mark Bridges in the "Lean Six Sigma and Continuous Improvement Group" on LinkedIn, brings up the idea of using Lean strategies in an office environment. His post looked specifically at how the office side of a manufacturing company can benefit from Lean concepts. His ideas, however, can be applied to any office environment. Taking active steps to eliminate waste can save companies money whether it is eliminating excessive inventory made by a manufacturing line, or eliminating the need for excessive drive space on an email server due to unrestricted storage policies. Northcote Parkinson's Theorem One of the most interesting parts of his post discussed what is called the Northcote Parkinson's Theorem. This theorem states that, "…Over and above a certain size, an office style organization can generate enough work to busy itself with!" This is a simple way of saying that while office work may be necessary, it can easily become a bottomless pit of inefficiency. One can't help but recall the scene from the movie, "Office Space" where the manager drones on and on about the importance of "TPS Reports." This scene is so memorable to many people who work in office environments because it is so relatable. So, how can lean help to eliminate 'TPS Reports' and other forms of inefficiency in the office environment? The post and the comments people made agree that Lean manufacturing strategies can be used in office environments with minimal adjustment. This is a perfect example of waste in the office, and how Lean strategies can help to avoid them. Office environments print off reports, spreadsheets, emails, and any number of other things. Many employees have the idea that as long as they recycle the paper when done, it isn't wasteful. While recycling may be better for the environment, it really doesn't help the company's bottom line. In

A night out with your girlfriends is fun, but it can get expensive and most certainly result in an unbearable hangover. If you're long overdue for a catch-up with your friends, why not invite them over for a girls' night in? From a chick-flick marathon to a spa night, there are many ways to make your night in just as fun as clubbing. 5. Watch a chick flick Let's start with the girls' night in staple: the good old chick flick. Sure, these are not the most ambitious films ever made but did European arthouse cinema ever get you through a break-up? Thought so. To spare you the frantic scrolling through Netflix, here are some film suggestions for all types of chick flick fans. If you're feeling nostalgic, watch the rom-com classics like When Harry Met Sally, Pretty Woman, Notting Hill, Four Weddings and A Funeral, You've Got Mail, Bridget Jones's Diary, or 50 First Dates. Looking for something more modern? Give new Netflix releases a try: To All the Boys I've Loved Before, Sierra Burgess Is a Loser, Isn't It Romantic, and Always Be My Maybe. Pro-tip: If you picked a film just to realise it's not hosted on British Netflix, try a VPN. Short for Virtual Private Network, VPN lets you bypass geo-blocking and access the Netflix film directory in other countries. 4. Get crafty Doing crafts together is a guaranteed way to have a good laugh and unleash your inner child. Does anyone in your group have a hidden talent? If you've got artsy friends, ask them to prepare a simple workshop for the group. You can even plan a few differently themed crafting nights and take turns to teach each other. ADVERTISEMENT Otherwise, there are plenty of easy adult crafts ideas online. You can make your own scented candles, try decoupaging old furniture, or continue with the home spa theme and make a DIY soap. Whichever you pick, make sure to get all the ingredients beforehand and budget enough time to complete the masterwork. 3. Make your own face masks No need to go t

Did you know this before that, there were apps like Instagram? A few years ago, we were less aware of the fantastic features of Instagram and how easily we can monetize things. Instagram is a renowned social networking platform where people come & join to do something unique & interactive. Many people are making their way out and turning the experience into a masterpiece.

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You have heard about them, you have read them and maybe even shared some of them on your social networks. I'm talking about blogs! You might be an occasional blog reader or a seasonal one; but you definitely have perused and admired blogs often.