Amalgamation of BI and deep learning helps companies grow beyond imagination?
By James NexsoftsysMachine Learning is indeed playing a vital role in business intelligence. There is no doubt about the fact that the companies all around the globe, have now realized the power of data. A large amount of data is indeed a significant part of every business strategy. When it comes to investments in the field of machine learning, deep learning, big data or artificial intelligence, they have indirectly or indirectly boosted business intelligence as well. And, as a result, now companies are enjoying a greater Return on Investments.What is Business Intelligence, and why is it important for a company? Business Intelligence is nothing but the effective utilization of data to allow the companies to efficiently deal with the ever-evolving needs of almost every industry. Though BI is not a new thing, and it has been in existence since years, but, if we talk about the importance and need of BI, it is intense now. Business intelligence definitely helped a plenty of companies to reach pinnacle point. The use of BI isn’t any more perplexing as it has proven its importance in the market.BI with the definitive foundation to amass, integrate, review and present business information and amplify the quality of the data-focused decision making, has come out to be one of the most useful strategies for businesses. Therefore, the road to the transformation of the data into actionable intelligence has smoothened and streamlined by the use of BI.Why is BI even important?Business Intelligence is the collection, analysis, presentation, and use of information in such a way that helps the company do better. Say, for example, if a firm which deals with jackets checked their Business Intelligence tools, the company would be easily able to segregate their sales. They would know how many woolen jackets were sold in say September and how many can they expect to sell in the month of June. The sales parameters (declining or growing sales) will help them to decide their marketing plans better. They would know when to offer discounts, which is the perfect time to get rid of the old stock quickly etc.Deep learning in businesses Deep learning an element of machine learning algorithms which makes use of the deep neural network. It uses the neural network to learn more. When it comes to a deep neural network, it is nothing more than an assemblage of artificial neurons. All of them are the trainable mathematical units. The basic function of them is to together learn even the most intricate of all the mathematical functions. They do in order to map raw input to the desired output. Neural networks are not new. In fact, they have been in existence since years.Deep learning plays a tremendous role in BI. Whenever we talk about anything that includes “Predictive” it does include deep learning or machine learning in one way or the other. When it comes to activities like forecasting future orders or looking for a deceitful insurance claim machine learning or deep learning comes to play. Deep learning is used by various businesses to automate processes and boost efficiencies. At the same time, deep learning is also helping firms to reduce cost and provide a better superior experience to their customers. However, the most eminent use of deep learning is by the business intelligence systems.Companies now a days are making use of deep learning and AI to forecast customer behavior as well. This helps the business managers to predict the possible risks, and to make better marketing and sales plans. All this is a part of business intelligence, as only these kind of intelligent insights can help the firms to perform better.Use case: Deep learning is effectively used in the field of customer support. When it comes to satisfaction prediction, they make use of deep learning algorithm to process all the outcomes related to the historical satisfaction surveys. Also, the most efficient part of deep is that it keeps ‘learning’ from signals. These signals include things like, total time taken to answer a query, time taken to solve a problem, customer satisfaction ratings etc.The Combination of BI and deep learning for boosting business We already know that more than 76% of businesses are using machine learning to boost their sales. Deep learning, the evolved part of machine learning is used widely by the companies as well. Deep learning is a lot more than just stats kept aside, gathering the data or running intricate algorithms. Though stats are important for a successful business intelligence strategy, the most important part is to process them well. It is basically the art of learning and offering better outcomes.Deep learning in financial sectors Deep learning as we know is apt for solving even the most complicated image classification. Also, it has the ability to tackle even the toughest object recognition issues. Therefore, deep learning is widely used in facial comparison as well as identity verification technologies a lot. For instance, it is widely used in the financial services institutes. The financial sectors have to verify the identities of the customers. That’s one of the most important part of their activity. Here, automatic verification is going to saves a lot of time of both the banks as well as of the customers. Also, banks even save a lot of money by adopting the new technology.Conclusion Business Intelligence is growing rapidly and so is deep learning. Hence, the blend of both is surely going to help companies in numerous ways. Hence, developers are making topnotch BI tools which are powered by the deep learning methodologies.
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Augmented Analytics: New Wave of Data and Analytics
By Amarendra Babu LToday, data is invaluable to every business irrespective of its nature and size. As the information is growing consistently, the role of data analytics has become an essential element in business growth. To compete with the opposition, you have to remain updated with the changes in business analytics. You may have heard about “Smart Data Discovery,” it is leading as a supreme differentiator across the organizations. Organizations can get clear insights by concentrating on building models and coordinating information for improving it and automating the tasks. Therefore, the demand for skilled data analysts has increased in the market.For data analytics, augmented analytics is the best option which can iteratively play out the data-to-insight-to-action like setting up the data, decoding data patterns and building models, and conveying and operationalizing the information discoveries. It saves both time and assets utilized for getting relevant business insights from the information.With the help of Machine Learning and Natural Language Generation (NLG), augmented analytics makes data-insights automated. These data-insights can help with faster and proper decision making. Hence, augmented analytics is a new trend in the field of business intelligence (BI), data analytics and enabling analytics-driven organization. Thus, it has become the best choice for the organizations as the platform capacities are developing.For those who are interested in choosing their business solutions, or managing an analytical solution implementation, they should understand the features and functions of augmented analytics.Augmented Analytics FunctionOver the past several years, with the help of AI, NLP, and many other technologies, different advanced techniques have been developed in the automated analytics field. However, apart from the present capacities of data analytics tools for visualizing and grouping data, the future of augmented analytics, seems more exceptional. It gives historical reports and dashboards, as well as offers automated and actionable prescient and prescriptive direction.By using augmented analytics, complicated and time-consuming evaluations will be solved faster and more comfortable. It analyzes the data automatically, translates the shrouded designs into data and builds models using them. To illustrate the data and to give a proposal for making an appropriate move, Artificial Intelligence (AI) programmes are used. Organisations can examine their speculation and hypotheses as they can decipher their information and access key data using different statistical algorithms. Augmented analytics accomplishes things like exploring new data-sets, identification of leads, analyzing the result, agitation of customer and more. [Source: Gartner]Here are some reasons that you should think about augmented analytics & data preparation for your future businessTraditional data discovery methods are expensive, time-consuming, and slow in providing desired results.For predicted results, business owners need to depend on data analyst and data scientist who are trained.As this procedure is tedious, more than frequently, decisions could be made based on “gut feeling” instead of on logical expectations given statistical analysis.Entrepreneurs don't have the skill and time to analyze the content, yet in the meantime, they require precise, impartial information to make solid business decisions. Augmented analytics facilitates these.Here are the facilitates of advanced analytics and augmented data preparation: Data scientists & IT groups will be able to concentrate on tactical things and special projects.These advanced technologies in smart data discovery, other modern strategies and plannings can emphatically affect ROI and TCO.Accessible augmented analytics makes Citizen Data Scientists and enhances responsibility and empowerment.This analytics will help organizations to make the right decisions, more precise business predictions and quantifiable analysis of product and pricing, financials, production and different parts of the business.Augmented data preparation and related devices will enhance the data range, user adoption, social BI integration, and information literacy.Though It is not simple to remain alongside the terms, strategies, and solutions in the analytics space, it is well worth the effort. This market is changing rapidly with new tools and advancement introduced each year.Regardless of whether you are an IT expert, an in-house IT proficient, a middle manager or a senior official, it is essential to observe the progress of business analytics and the related technology. Each business needs to see how these solutions can and will influence clients, procedures and work process.Providing your team with the advanced tools like Sisense, Domo, Tableau, QlikView...etc & training, and an easy method to deal with the vast amount of data is essential to your business achievement and will make each employee an advantage for your organization.Factors for the Organizations to Consider Augmented AnalyticsProvision of Agile centralized business intelligenceCloud-based deployments, concerning the advanced analytics and business insights platforms. Next-generation augmented analytics has empowered data analytics delivery at a significantly faster pace over the organization while at the same time utilizing far fewer assets.Mutually beneficial business interactions Enterprises are expected to provide access to the curated data to clients by giving double business value to those who invest in augmented analytics by the year 2020. The data can be shared over the organizations through the cloud, along these lines advancing their analytics and those of others for obvious advantages through consistent, networked integration of data and analytics over their enterprises.Decentralized analyticsExpansion of the corporate information model has not been made possible with the decentralized groups and individual clients without compromising data governance. Standard definitions and key measurements form bound together semantic layer that keeps up consistency irrespective of the client's area.A comprehensible user interface Simple to use tools that help an extensive variety of analytics work process capacities form the basis of augmented analytics in business. Advanced augmented analytics give a consumer-grade UI that is more instinctive, rich, and user-friendly for the business people and gives them more power.Governed data discovery It is possible to help the work process from data to self-service analytics, a record system, and IT-managed content. It would then be able to be governed, reused, and advanced as ensured data and analytics content.Summary Augmented analytics has changed efficiently the whole work process of analytics and the manner by which data analysts get information and work on insights. It is an approach that automates insights. It will lead to reach beyond data scientists and transform the organizations exceptionally.
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Today, data is invaluable to every business irrespective of its nature and size. As the information is growing consistently, the role of data analytics has become an essential element in business grow...Continue reading
How is WordPress useful for building an E-commerce Website?
By Manan gNowadays, it has become kind of an unsaid rule that if you have a business, you need to have a compelling online representation for that as well. In which, eCommerce Website Development plays an equal part.Customers like to shop online more than going to the stores physically, and eCommerce website development helps businesses to develop the online store pleasing the customers. We will see the important uses of WordPress for E-commerce Website development.However, eCommerce development needs the great tools of which WordPress is the one. Why I specifically mention WordPress? Well, let’s check the below stats to justify my answer.Firstly, talking about eCommerce, a statista report of 2017 forecasted that eCommerce sales worldwide could reach up to or over $4.5 trillion by the year 2021. Now talking about WordPress amidst this, according to W3Techs, it alone powers over 32% of the websites among the global internet.These stats show that WordPress has a significant influence on website development among the internet.How to develop E-commerce website with Wordpress?Further, coming to the topic, we will talk about the advantages of using WordPress for eCommerce Website Development and the different ways to create an E-commerce website with WordPress are as follows:Robust PluginsEvery eCommerce store is different from the other, and hence, every eCommerce Website Development requires different features to function in the online store.WordPress as a CMS comes up with an infinite number of robust plugins those support almost any type of website development services.WordPress supports the eCommerce website development process with different types of plugins which match the required features of the eCommerce store.The plugins are available for free, so you can anytime install and add to your store to enhance the features and functionalities of the store.Plugins are similar to the term apps; they are used to add up the functions to any website or the store.However, sometimes you feel that the number of plugins available is not matching your requirement or you got one plugin matching but need to make some modifications into it, you can choose WordPress Plugin Development to create the unique type of plugin that you would like.While we are talking about the eCommerce and WordPress plugins, one more plugin comes to my mind, designed explicitly for eCommerce, which is WooCommerce.WooCommerce To define WooCommerce, we can say that it a free plugin that WordPress provides for eCommerce Website Development to create the appeasing online eCommerce stores.WooCommerce helps a lot in Custom WordPress Development Services as a plugin providing endless features to a WordPress website.It is famous in many high-traffic websites across the web.It supports a massive number of themes offering the top eCommerce development services to the businesses.It integrates well with thousands of extensions; be it paid or free.With the revolution of WooCommerce in Wordpress development design service, it has become a vast playground for the innovators to bring their creativities to life.Payment integration for Multiple payment gateways While your business is providing the eCommerce website solutions, your online store should be flexible enough to offer multiple payment options to the customers.With WordPress as a CMS, you can offer this option well on your online store.Whether you want to build a website for small business or a big one, it is very crucial that you consider allowing multiple payment gateways on your online store as you never know what payment mode customer is more fond of or does he have that only one mode which you are missing out on your list.Management ease Since, the e-commerce website built using WordPress, it makes easy to manage from anywhere and everywhere.Just like you manage your WordPress business website, you can manage your online store as an admin from any corner of the world.It also allows you to create multiple users on the store who can also access and make the permitted changes to the store as and when necessary.Even more, if you have built your business website and blog using this CMS, you are even more ease to make the changes on all the things from the same platform with a single login.This feature makes WordPress development services as the best tool for eCommerce Website Development.However, there are some more beneficial features of WordPress which stay common for almost all the types of websites created using WordPress.Those are as follows:Regular Updates Some stats for WordPress say that it releases a new or an updated version every 152 days on an average.The above statement means that WordPress is always on the toes to update that keeps it walking step-to-step with the current technology trends.Because of updates coming on the regular intervals, it helps in creating the platform more securely from the security loopholes which occur because of not modifying the store for a long time.SEO featuresWordPress has quite innovative and helpful inbuilt SEO settings that optimize your webpage automatically for the search engines.There are lots of components and plugins involved in the WordPress itself which help you customize the SEO settings as per your need and desire for your business website.Top eCommerce Development Services mostly advise using WordPress as the eCommerce website development, because it helps businesses with SEO along with many other features.Migration Migrating a large eCommerce store from one platform to another can sometimes prove to a be a headache to the programmer.While the case is opposite with WordPress; it comes for free, and hence, there is no issue with the subscription cancellation and moving to another platform or server.Although, apart from this, WordPress comes with many plugins that help in migrating the store or the website from one server to the other.So, if you hire eCommerce development service for migrating your eCommerce store from WordPress to another platform, it will be a whole lot of ease for them to take the complete authenticity of your eCommerce store and maintain it in the other platform as well.Responsive We are all aware that people like to shop on the go; not at the stores but on their mobile phones.When you are developing an eCommerce store; consider responsive website design services as it is necessary for your store to be responsive according to the screen of the user’s device; with WordPress, this is very much possible.A responsive web design agency knows all the elements that a responsive website requires, and they can help in maintaining the exactness of the features which are there on the store on the desktop website.WordPress supports the features of mobile-friendliness in its development as it is inbuilt in its code which you don’t need to modify but only optimize as per your requirements.Access to Analytics and statistics WordPress comes with the features allowing the user to access the analytics and statistics about the complete online activity.It helps you understand the result of your optimization strategies as well as modify or replan accordingly.Innumerable themesWordPress as a CMS is renowned for the number of creative and innovative themes that it provides in its interface to use.If you cannot afford any Wordpress development design services; No problem at all. You can use the built-in themes that WordPress already have in the platform. It gives the user an ocean of options to choose the correct theme for a standard business website or the online store.Scalability Once you start your business, there is no way back. You aim at growing in all aspects of your business and work rigorously with all your potential in that direction.However, while you are applying several strategies, you use your website and the online store as your tools which get a whole lot of load from your business aspects.Your website needs to be healthy and scalable enough to walk shoulder-to-shoulder with you on your journey of growth.Thus, WordPress comes up with the features supporting scalability.No matter how many numbers of web pages you add up to your website or features to your online store; WordPress can handle that pressure and still perform the best.That is why many top eCommerce development services opt for WordPress when asked.Are you ready to build an E-commerce website with Wordpress?Moreover, there are still many features in WordPress that will please the readers’ hearts and minds and make them understand that it is the best for eCommerce website development.Learning it is easy, and it is available for free as well; however, it is quite essential to understand that there are lots of security threats revolving around WordPress because it is commonly well-known.It is quite advisable to hire experienced WordPress development design services those are efficient enough to combat all the threats and provide you long-lasting and top eCommerce development service.
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Nowadays, it has become kind of an unsaid rule that if you have a business, you need to have a compelling online representation for that as well. In which, eCommerce Website Development plays an equal...Continue reading
How is voice recognition affect Internet of Things (IoT) development?
By Harsh AroraIntroduction It is stunning how innovation has changed the world since the beginning of the new millennium. We have advanced from the Stone Age and have ushered into the digital age. The pathway from the earlier forms of 'Internet' leading to the current unhindered internet, has been incredibly brisk. Innovation has achieved a degree where each savvy contraption has its own extraordinary and distinguishing proof or UID's. Every movement on the internet can be monitored easily primarily by utilizing exceptional identifiers.Presently, numerous individuals can undoubtedly speak with others over long distances with the help of a smart device, and this is an extraordinary thing. What appeared divination two centuries back, has turned into an everyday schedule just to take a break. Not to mention individuals, did you realize that even the savvy gadgets we utilize will, in general, speak with one another?An arrangement of interconnected gadgets regardless of whether mechanical or advanced machines, can exchange information over the system with no human intervention is set up. This is known as the 'Internet of Things' or IoT development. Physical gadgets can be associated with modules which will enable them to exchange information among themselves. These modules can likewise be utilized to hand-off directions and controls to the machines crosswise over separations by using Wi-Fi and infrared signs. Voice Recognition for the Internet of Things Hollywood motion pictures have set the pattern for tech organizations to create and overhaul voice-enacted frameworks. Science fiction and superhuman films have spiked individuals' creative ability with a variety of voice-driven innovation. Tech goliaths and engineers have willingly volunteered to make these advances a reality. These days, applications and software are modified with artificial intelligence and machine learning which have codes on how to perceive voice commands. Such applications break down the instructions and anticipate future results and client conduct. Applications like Siri and Alice have set another benchmark after effectively incorporating voice recognition. This innovation makes it exceedingly simple for clients. What each of the ones needs to do is address the gadgets for playing out a plethora of commands? Insights demonstrate that over half of the families in the United States utilize voice-driven directions for making to online purchases. The Voice recognition and Internet of Things has altered business center and buyer expectations. Voice commands have changed the quite a lot of business sectors and how they operate. The progressions are critical and more redesigns are as yet being taken a shot at. Voice IoT Applications development technology The following is a rundown of business sectors which has changed with the utilization of voice recognition. Now, let's see the impact of voice recognition on IoT development.Application of Speech Recognition in IoT development Home automation The IoT Applications development technology has extended past smart devices. There is likewise a framework set up, whereby physical and mechanical gadgets can be merged with electronic gadgets. These gadgets incorporate sensors and actuators. Sensors and actuators perceive computerized flags and convert them into movement. This is the crux of voice-activated gadgets. These modules additionally make it conceivable to get to a physical device on the web. It is common to speak with these physical gadgets on the web and hand-off directions over the internet with the assistance of Wi-Fi signals. One of the seething patterns in the tech world today is Home Automation. The interest in tech-savvy and smart homes has ascended unbelievably. Tech organizations are working out minimal effort arrangements that would empower clients to control their home appliances just by talking with them. It could be where you can turn on the TV basically by speaking to it. Cooking can be changed with the assistance of voice-activated Microwave Owens. Home automation is a standout amongst the most developing sectors of the 21st century.Automobiles The Automobile sector has additionally begun embracing new innovations to make their vehicles much all the more interesting and engaging. Indeed, even the prospect of owning a vehicle you can talk with would make an auto lover insane. A large number of the vehicle manufacturers have coordinated in-vehicle interchange frameworks along with a voice recognition software. This makes it simple for the clients to control all the electronic features in the vehicle with the assistance of voice-activated guidelines. This innovation is still in the nascent stages, and there is a considerable extension for development. The voice recognition software is modified intricately to understand a various arrangement of directions. Designers are striving to expand the number of directions that the vehicle would comprehend it. As of now can make outbound calls and answer inbound calls with the utilization of voice recognition. Other electronic directions incorporate dealing with the cooling and the temperature within the vehicle. It is likewise possible to create and manage music playlists while driving with the help of voice commands. Voice recognition has in a way redefined the world for automobile fanatics.Health Care The human services sector has reformed with present-day medications and treatment strategies. Presently, healing centers and facilities are turning towards recently structured innovative applications for help. Doctors and physicians have additionally begun to expand their reliance on present-day innovation, not just with the utilization of new machines and medications yet besides by joining this innovation into their everyday tasks. Numerous doctors utilize the text to speech feature all the time. The speech to text empowers the doctors to make a note of the more significant part of the therapeutic records without handling much-printed material. Recording points of interest and particulars in a gadget is less tedious than recording it in large folders and files. Data about the restorative state of the patient, diagnosis, treatment methodology, and even recuperation can be adequately recorded with the utilization of speech to text highlights. This significantly affects the healthcare institutions since it saves a ton of time with the printed material. It is likewise conceivable to save the sound record as the draft and utilize the revised text document for reference purposes. The vast majority of this data can be effectively stored on the web and can be gotten to from any savvy gadgets. Dealing with various records likewise turns out to be simple.Entertainment The entertainment industry has changed over the last couple of years. We have seen the onset of flat screen TVs and home theatre systems. Numerous unmistakable organizations like Amazon, Google, and Apple are investigating the utility of voice directions to enhance the benchmarks in media outlets. For examples, entertainment items like Amazon Fire TV and Amazon Dash have inbuilt voice-activated features. Many items monitor client propensities and oversee the general usage trends of the client. There are a few examples where the gadget additionally offers the client proposals dependent on the recently recorded client inclinations. The Internet This is unquestionably where voice recognition has made plenty of waves. The internet is gradually helping clients around the world to keep pace with the voice recognition innovation. Vast numbers of the web surfers have turned towards voice commands. It is extremely comfortable to search the internet for information by utilizing applications like Siri, Cortana, and Alexa. A few specialists are of a belief that from 2020, the vast majority of the clients will use voice on the internet rather than the conventional technique. A few engineers are attempting to make confirmation modules that utilization voice recognition. This thought exclusively flourishes with every individual having a different and exceptional voice. Based on this, a large number of clients can utilize their sound as a method of verifying access to anchored data.Investigating arrangements All items and brand brag of having a customer benefit hotline. These hotlines are commonly connected to IVR or Interactive Voice Responses. The IVR goes about as the first pitstop before transferring a customer to the consumer service executive. The IVR talks the customer through different choices. The customer only needs to adhere to guidelines for getting a goal to their inquiries. This definitely decreases human intervention. The IVR plays the role of converting speech to text in IoT Development. The IVR is additionally valuable for occupying and directing calls dependent on client inputs. New forms of IVR are being created for various local dialects. This would enable the customer to utilize regional dialects as voice inputs along these lines connecting with a more extensive, non-English talking group of onlookers.
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Introduction It is stunning how innovation has changed the world since the beginning of the new millennium. We have advanced from the Stone Age and have ushered into the digital age. The pathway ...Continue reading
How is Augmented Reality Shaping the Future of Design Industry?
By Jessica ErvinTom Caudell came up with the word augmented reality in 1990. He was a Boeing researcher and thus he used this word to describe the how pilots have a digital display to help them in navigation but in these years things have transformed of how we view things and augmented reality has also been changed in this time.AR is improving and innovating day by day and from navigation to even the industry of designing everything has been catered by augmented reality.Augmented reality in simple words is a technology that is about computer generated image which makes the view of the user about the real world to be replaced. This makes a composite view to be seen and is thus said that this is an interactive experience. The augmented reality, unlike virtual reality, does not change the whole thing but it only changes the environment to make the people have a bridge between the virtual simulation and reality.It has been said that with only 20 years augmented reality has taken over a number of fields like education, retail, construction, designing and such other. We can see free logos maker that makes us able to prepare a logo on real-life environments and thus it could be said that augmented reality has been a great impact on the field of designing.Well, if we talk with respect to UX design and augmented reality. It could be said that augmented reality goes beyond the boundaries that are traditional. The UX design will have to adapt to make these changes to be incorporated in the structures and from 2D to 3D everything will change in the designs.It is said that through the induction of AR people will have a more gratifying experience in the same devices that they used previously and it will make them think about different things with different perspectives. One of the things that could be included here is about making the websites and applications to be made in such a way that people can view it in real life environments. This will increase the experience of the consumers as it will be more personalized as well as interactive. This real-life environment designs could only be possible with the augmented reality. The world has started to contemplate on the testing of augmented reality in order to make the online catalogs to have something interesting with respect to designs of the websites and making them able to share the real-life environments with the customers or target audiences.If I talk about the logo designing more specifically I have seen that the logo makers that have been launched in the recent days have been one of the great developments. These free logos maker has helped the world a lot with respect to business marketing and other sectors as well. Well, these logo makers too could be said to be impacted by the augmented reality. It has made them able to design the best logos with even 3D experiences. Especially when it comes to gaming logo design the augmented reality could be really helpful in making the best logos with animation and 3D effects to give people the ideas about real-life experiences in logos and gaining their attention towards the product. However, it should be taken into considerations that if the designs have vague purposes and objective augmented reality would not be a good idea then and the things with a clear content or idea could only be made through augmented reality. This enables the first-hand experiences of the clients and the personal experiences of the design has made people be more indulged with the products. Well, augmented reality is a concept that you can get more clearly by seeing things or using the things that have been impacted by it. Reading articles will only give you an idea about it but using or experiencing it will exactly tell you about why it has been projected so successful in the future.Conclusively it is stated here that augmented reality is changing the world around with making people have through real environment experiences in different dimensions and companies have started to make contemplations on giving people the same.The designing industry has been made more real and more interactive through the augmented reality and it could now be said that people could try things before they buy it. But with respect to logo specifically, it is said that the augmented reality has inducted a sense of making the logo to be seen with more dimensions which increases the perspectives for viewers. Now conceptualization has been made easier with the inclusion of augmented reality in the field of logo designing. It has shaped the future of the field of logo designing in such a way that now people have higher expectations from the logo makers as well as the logo makers aim to fulfill those expectations.
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Tom Caudell came up with the word augmented reality in 1990. He was a Boeing researcher and thus he used this word to describe the how pilots have a digital display to help them in navigation but...Continue reading
Why Your Business is Falling Behind without Machine Learning
By Jaren NicholsMany business owners shy away from machine learning (ML) for the fear of cost or lack of usefulness. And while large enterprises used to have the edge on ML technologies, small businesses are stepping up their game by integrating affordable AI solutions.Need of Machine Learning for BusinessLet’s start with the basics: machine learning is an AI technology that finds patterns in data and uses those patterns to predict the future. Big businesses like Google and Amazon use machine learning all the time--most often for search algorithms and product suggestions--but small businesses are integrating machine learning too, for many reasons:Machine learning is more affordable nowMachine learning can be easy to understandMachine learning turns data into insightMachine learning saves you time on mundane tasksMachine learning technologies are starting to be integrated into every industryOf the businesses that are currently investing, 84% believe that adopting AI will lead to greater competitive advantages. Another 75% believe that AI and ML will provide opportunities for new businesses and new ways to enter their market. Additionally, because machine learning has been in development for a couple of decades now, you don’t have to start from scratch with your AI integration. Open source ML algorithms are more widely available now as well as pre-trained ML models. These kinds of affordable, informed ML options are a great asset to small businesses.How do we use Machine Learning at ZipBooks? Even though we’re a startup, we quickly opted to integrate machine learning in order to keep up with our competitors. As a cloud-based accounting software, we compete with products like Quickbooks 2019 and alternatives. The repetitive nature of bookkeeping means that our data lends itself well to pattern observation. As ZipBookers enter transactions, our software automatically categorizes it based off of historical trends. The more you categorize, the smarter our ML software becomes, meaning that your bookkeeping becomes more efficient and automated. Additionally, we use data-driven intelligence to help users improve their invoicing processes and business health. We provide smart scores based on accounting best practices. This allows ZipBookers to see what’s working and what’s not and then use our observations to improve their processes.How can I integrate Machine learning?This series by Growth Tribe tries to take the buzz out of AI and focus on the practical applications instead. Consider your business—machine learning is all about making predictions. What kind of predictions should your small business be making? What is a mission critical function that you’d like to simplify? In what ways could AI and machine learning be affordable and helpful to you?If you can’t think of realistic answers to these questions, then maybe wait before implementing machine learning. There are some substantial upfront costs and if you don’t have the kind of data that would benefit from pattern observation, that’s okay. You will likely find these areas of need later and when you do, you shouldn’t hesitate to implement AI solutions.If you have been able to identify some areas of need, here are some good places to start. These 7 commonplace ML applications can keep your business from falling behind and will help you on how to apply machine learning to business problems.1. SEOGoogle’s Search Engine algorithms are largely informed by machine learning. Since there are billions of searches performed every day, you need to keep up with SEO in order to stay relevant.Analytic tools like SEMrush and Ahrefs use AI technology to improve their algorithms and offer fresh feedback to their customers. This helps you to target keywords that are within your reach and compete for your spot at the top of the page.2. Ad campaignsMachine learning can help you to automate your marketing services. By identifying patterns in user behavior, ML allows you to determine which individual advertisements are most likely to be relevant to specific users. ML can also help with real-time bidding and successful retargeting. Create smart algorithms using machine learning technologies to improve your advertising. Companies like Facebook do this all the time. Self-learning algorithms measure the success of previous campaigns in order to guide the direction of subsequent campaigns. Tools like the RocketFuel project use AI solutions to optimize video ad length for potential customers.3. Online PaymentsRemember that machine learning is about monitoring patterns in order to adapt to change, so there needs to be some room for error. There are certain tasks that do not allow for any error (like entering or submitting payments), so ML may not be the right tool for those jobs.However, there are aspects of online payments that can be simplified with AI technologies. Automatic order tracking and invoicing is a great place to implement AI. We’ve used machine learning to track invoicing data and make recommendations to clients about how to improve their invoice score. Many companies also use machine learning to track credit card purchases and detect fraud. Sift Science is an example of one of these companies; they specialize in applying machine learning to protect your business from user and payment fraud.4. Website DesignWhile some elements of design require the human touch, there are other routine tasks that can be automated, such as basic HTML and CSS coding.Companies like the uKit Group, train machines to evaluate and update the look of old websites using big data and web archives. In today’s world, it doesn’t take long for your website to become out-of-date or irrelevant. Using AI solutions will allow you to identify problem areas and quickly implement solutions.5. PersonalizationIn the age of machine learning, your clients are expecting extreme personalization, whether they’re aware of it or not. They want to see their name in your welcome email and personalized recommendations for products and services.North Face is one company that uses AI technology (Watson) to help personalize their customer’s shopping experience by asking a series of questions and then refining product selections based on the answers. Netflix does this automatically by monitoring your viewing history and making new recommendations based on genre, gender or artwork.6. Email CategorizationAnother way to take the mundane out of your workday email categorization. E-commerce sites with hundreds of customer support emails use AI technology to instantly label incoming emails and identify what type of ticket they’ve received (return, complaint, review, etc). Knowmail is one solution that “fixes” email for you, though Google has been doing it for free for years. Gmail’s AI has even gone so far as to automatically answer your email with suggested responses.7. Monitor your MarketAs a small business, you regularly monitor market conditions and competitive trends. You can use AI-powered products to simplify the process for you. Regression models can help you make your pricing and sales forecasting more dynamic.For example, Crayon is an intelligence tool that alerts you to changes in industry pricing and helps you stay ahead of the curve. Sales platforms like DOMO use AI to detect changes in data and predict ROI. Final ThoughtsThe truth is, if you’ve already started implementing SaaS products, cloud-based software and other digital solutions, you are ready for machine learning. Machine learning is affecting your small business and there are many non-intimidating ways to start transitioning towards full integration.If you want to avoid being outsmarted by digital businesses, you need to seek out machine learning solutions.
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Many business owners shy away from machine learning (ML) for the fear of cost or lack of usefulness. And while large enterprises used to have the edge on ML technologies, small businesses are st...Continue reading
How to Harness AI & Cloud Computing Technology to Make Everything Better
By Charles RichardsIt should come as no surprise that many small to midsize business owners take pride in overseeing every aspect of their business. However, sometimes this can hamper productivity and business growth. I am talking about a situation where things cannot be controlled in regards to servers, data and software applications. And that is why incorporating the combination of Artificial Intelligence, and cloud computing turns out to be a viable option.Contemplated and theorized in the 1950s, the ability of machines to perform intellectual tasks is what artificial intelligence is all about. Since then, the tech branched out into several sub-levels such as machine learning and deep learning. While on the other hand, one trend in computing has been pretty loud and clear: centralization, mainframe systems, personalized power-to-the-people, do-it-yourself PCs- Cloud computing. Surprisingly, both the technologies have led to the Internet's inexorable rise.In simple terms, Cloud Computing is all about any computing service provided over the Internet or a similar network. Now when you sit all day long at your PC and type any query into Google, your PC strives hard to find all relevant answers for you. But have you realized that these words or the questions are shuttled over the Net to one of Google's hundreds of thousands of clustered PCs, which dig out your results and send them promptly back to you? The following post emphasizes how AI is taking long strides in the cloud computing realm.AI and Cloud Computing together reshaping the IT InfrastructureCompetition has raised the standard bar to a level. This probably means you need to consider an unprecedented number of different measures to sustain. In the present scenario, AI-optimized application infrastructure is in vogue. More and more vendors are introducing IT platforms featuring pre-built combinations of storage, compute, and interconnect resources can accelerate and automate AI workloads.AI being an unfamiliar discipline, professionals find AI hardware and software stacks complicated in regards to tuning and maintaining. As a result, data ingestion, preparation, modeling, training, inferencing and such AI workloads require optimization.Lastly, AI-infused scaling, acceleration, automation, and management features have become a core competitive differentiator. Let’s delve into the details:AI-ready computing platforms: As I said before, Artificial Intelligence workload is gaining momentum like never before, and operations are being readied to support. In addition to this, vendors are launching compute, storage, hyperconverged, and other platforms. At a hardware level, AI-ready storage/computer integration is becoming a core requirement for many enterprise customers. Infrastructure optimization tools: With the incorporation of AI, there has been witnessed an inexorable rise in self-healing, self-managing, self-securing, self-repairing, and self-optimizing. AI’s growing role in the management of IT, data, applications, services, and other cloud infrastructure stems from its ability to automate and accelerate many tasks more scalably, predictably, rapidly, and efficiently than manual methods alone. Now before you incorporate AI, it is essential to ensure that all your computing platforms are ready for AI workloads. Its benefits include:Hyperconverged infrastructure- This means high-end support to the flexible scaling of computing, storage, memory, and interconnect in the same environmentOften combined with Intel CPUs, NVIDIA GPUs, FPGAs, and other optimized chipsets, the Multi-accelerator AI hardware architectures act as a substantial workload within broader application platformsRight from ultra-high memory bandwidth, storage class memory, and direct-attached Non-Volatile Memory Express (NVMe), the memory-based architectures drives to minimize latency and speed data transfersEmbedded AI to drive optimized, automated, and dynamic data storage and workload management across distributed fabrics within 24×7 DevOps environmentsConclusionAt present, there is a massive need for incorporating intelligent ways for IT infrastructure. With growing workloads, increased the pace of innovation, exponential data growth, and users in the system (IoT, machine agents), conventional IT methods are no longer used to cope with the rising demands. Have you check out the AI-first cloud model yet! If not you must because it offers:Support for mainstream AI frameworksGPU optimized infrastructure:Management toolsAI-first infrastructure servicesIntegration with mainstream PaaS servicesThere’s just one catch. You’ve got to start somewhere. Ideas and opportunities don’t just materialize out of thin air. On and all, Artificial Intelligence Technology brings out a unique flair that can positively transform the next generation of cloud computing platforms.
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It should come as no surprise that many small to midsize business owners take pride in overseeing every aspect of their business. However, sometimes this can hamper productivity and business growth. I...Continue reading
Pros and Cons Of Developing Hybrid Apps With Ionic Framework
By Jade ParkerDevelopment of mobile applications has seen a massive boost since the inception of smartphones. Today, every one of us uses smartphones for too many reasons, willingly or unwillingly. To cope up with growing demands, mobile apps are continually evolving to provide awe-inspiring customer satisfaction.You can develop a mobile app in one of the two ways. The traditional approach is to develop every app individually for different platforms using technologies and languages native to the system you're designing for. So, you need to use Google's Android Studio and the Java programming language when developing an android app whereas you'd be using the Apple Developer Program and the Swift language for developing an app for iOS.The second approach is to develop hybrid apps. These are mobile apps that you develop only once but works the same on every platform. The primary principle for developing such apps is to use web technologies that are universal to every platform.Is Ionic framework good for app development?Ionic is one of the most popular frameworks for developing hybrid mobile apps, aimed at reducing development time and increasing productivity. It was created by Max Lynch, Ben Sperry and Adam Bradley, three core developers of Difty Co. They were trying to develop a drag-and-drop interface building tool using jQuery and Bootstrap before curating their ideas together for building Ionic. Max is the current CEO of the framework's parent company Ionic. You can follow him on twitter.Why Use Ionic?We know you're not going to use yet another framework just because we say so. However, with its top-notch performance metrics prepackaged with convenient components, you'll be loving the framework as soon as you start developing with it.Ionic is built on top of the Angular framework from Google and aims at reducing manual labor for you. It can save you a significant percentage of your overall development time and help you get your product out in the market very fast.The open source nature of the framework ensures you'll always be able to find and use third-party solutions when developing most of the common functionalities for your app. You can even extend the functionality of those pre-existing solutions pretty quickly. Here is the list of various advantages and disadvantages of using the Ionic framework to build the robust hybrid apps:Use Cases: When to UseNot every approach is suitable for every app. In this section, we'll try to outline the best use cases of Ionic framework for app development. You can develop your mobile app with Ionic if you fall under any of the below-mentioned cases. Looking to launch your startup?Hybrid apps primarily gained its traction because of their low development time paired with their consumption of less resource. Often when you want to launch your new business idea into production, you'll need a great app to ensure your success.Ionic apps are very fast to develop and can go in production within weeks, depending on the urgency. This is why most starting entrepreneurs choose to side with hybrid apps.You are a developerDeveloping Ionic apps can open up new opportunities for both seasoned and starting developers alike. As the pioneer hybrid mobile app platform, Ionic apps consist of the majority of hybrid apps you can find on most app stores.Just in 2015 alone, more than 1.3 million Ionic apps have made their ways into these app stores. So, choosing to develop Ionic apps can have a positive impact on your development career.You want an app, for cheap!Often we receive numerous emails from our readers asking us advice on how they can build a new app for them real cheap. Although we always suggest you to opt-in for industry-grade apps, which are not-so-cheap, we know many of you will side with cheaper alternatives for specific reasons.Thanks to Ionic, now you're able to get real world apps at a much competitive budget. As they require less resource, developers, and time, Ionic apps are considerably cheaper than their native counterparts.Use Cases: When to go NativeAlthough impressive if judged by their approach, Ionic framework, like every other framework have their overheads and drawbacks in developing apps. Continue reading below to find out when not to use Ionic apps, but to side with native apps.You need Performance, for realWell, let us all face it, despite how convenient they are, hybrid apps can never live up to the performance standards of native apps.As native apps are created by using native technologies, they are perfectly compatible with the host system's architecture and components, thus making sure the performance always remains above the bar. If performance is something you don't want to sacrifice, develop your apps with native technologies.Your app requires complex navigationDespite their excessive effort, Ionic apps are not exactly suitable for creating an app or game that need very complex navigational and routing logic.As web technologies used by hybrid apps can not control these core system components as fluently as native apps, you should drop them for native applications.Conclusion:Ionic framework is the de-facto platform to build hybrid mobile applications. And as the demand for fast and low-cost mobile apps continue to rise, they're surely going to retain their position. However, you should consider the requirements and use cases of your app first before choosing any technology over the other.
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Development of mobile applications has seen a massive boost since the inception of smartphones. Today, every one of us uses smartphones for too many reasons, willingly or unwillingly. To cope up with ...Continue reading
Why Big Data and IoT Differs Yet is Compliant Across a Common Ground
By Tony JosephData may very well be the new oil for this century. The world generates data on an average of 2.5 quintillion bytes each day. That’s more than we can manage. However, leveraging these massive data troves could reveal fascinating insights that have the potential to transform whatever field it touches. This is where big data and IoT comes into the spotlight and so understanding the relation between them is crucial. Globally, IoT has moved up the ladder with IDC estimating $1.2 trillion spending by 2022. Big data is not behind with revenues forecasted to reach about $260 billion in 2022. Data remains fundamental to both. Big data involves collecting large volumes of data from sources like social media, devices, and sensors. IoT is procuring data from every device that surrounds us like home appliances. However, the underlying characteristics differ in both these technologies as they are two entirely different concepts. It would be better if we come to an understanding of these differences since our focus is on finding this out so as to apply them collectively in different fields to gain competitive advantage.Big Data and IoT are Two Entirely Different Concepts- IoT vs Big DataBig DataAs said, big data is all about huge volumes of data either structured or unstructured. The data is so large that it remains incapable of processing via conventional data processing software or techniques. It is characterized by three key determinants known as the 3Vs of big data - Volume, Velocity, and Variety.The volume deals with the large amounts of data procured, which are measured in larger units of data like terabytes, petabytes, and exabytes. Velocity determines the speed at which the gathered data must be processed to derive insights quickly and in real-time. Variety is about the nature of the data, whether structured or unstructured that include different file types.Together, these three characteristics - volume, velocity, and variety determine whether a stream of data could be labeled as big data. The need for higher computing power to process big data brings it in correlation with machine learning, natural language processing, business intelligence etc., which makes up the key components of its ecosystem.Currently, big data has acquired renewed importance particularly in businesses and industries that rely on data. Companies like IBM, SAP, Microsoft etc. have increased their spending on big data analytics and management. Moreover, with the proliferation of data globally, big data is swiftly penetrating into diverse applications such as healthcare, industry, enterprises, research & development, education, retail, e-commerce, and many more.Big Data Analytics: The Revolution Has Just Begun A talk from Dr. Will Hakes of Link Analytics, giving an extensive, high-level talk on the way big data analytics is changing- and will continue to change- the business intelligence landscape. [Source : SAS]IoTImagine a world where your home appliance plugs into the internet. Your home could automatically respond to your presence such as a Hi-Fi system that plays your favorite music while you are at the living room or lighting systems that automatically switch on or off and optimize energy usage to save on your monthly utility bills. This is exactly what constitutes the Internet of Things.IoT extends connectivity from digital devices to non-internet physical devices that we use in our everyday life such as the appliances in our homes, automobiles, and other objects. All of them remain plugged to the internet enabling seamless interconnectivity to collect and exchange data for real-time performance metrics as well as remote monitoring and control.Sensors are the primary means by which devices and objects gather information from their surroundings. When connected to an Internet of Things platform, the data from all these devices are integrated and subjected to analytics. Once done, this can reveal readily useful information like patterns, potential issues and even put forth recommendations aimed at improving their performance.A more concrete example of IoT at work is in an IoT enabled car. The data collected from various sensors positioned at crucial components inside the car can help integrate the control and communications of the entire unit. For instance, the IoT platform can continuously assess road traffic conditions and suggest the driver change routes or adopt driving practices that heighten safety depending on the weather. Being a breakthrough technology with the potential to disrupt everything, IoT finds use particularly in agriculture, energy conservation, transportation, healthcare, manufacturing etc.Differences in Data Stream Management and ProcessingBig data involves collecting huge volumes of data. However, it does not subject these data streams to any kind of processing at once for extracting meaningful insights or patterns for making real-time decisions. Analysis occurs at a later stage and there is a delay or gap between when the data is procured and when it gets processed.IoT, on the other hand, is all about collecting and processing data streams at the same time. The data gathered gets processed instantly in real-time for optimizing the performance as well as correcting any malfunctions or identifying problems early on. In IoT, the data streams are constantly managed real time for accurate data-driven decisions and analysis.Since the collected data is analyzed only after a certain interval, big data solutions find use primarily in areas such as capacity planning, predictive maintenance, etc. Whereas IoT is all about time, as the simultaneous collection and processing of data find application in real-time scenarios like vehicle dynamics or traffic management to optimize their operational capabilities as well as detect issues.Big Data is Human Generated, Whereas IoT is Machine GeneratedBig data is about data generated solely due to human activity across different interfaces. For instance, our social media usage of scrolling through news feeds, subscribing to various channels and the messages we send and receive will leave out data trails that are collected by these platforms over time to build up a picture of our behavior and detect patterns in usage so as to personalize their services.Besides social media, human-generated data used in big data projects comes from other sources like emails, browsing activity etc. Amassed over longer periods, these data remain helpful in detecting patterns in human behavior with certainty, which remains helpful for planning and fixing long-term solutions.IoT relies extensively on machine-generated data from sensors attached to everyday objects like home appliances and personal digital devices. An IoT platform collects and analyzes these data real-time to optimize operations and detect potential problems simultaneously. A typical example is smart traffic lights that can switch traffic across the lanes real-time depending on the number of vehicles on the road or any congestions in vehicular traffic.Summing UpAs we have seen above, both big data and the Internet of Things shares several differences that make them two dissimilar concepts. Big data is more into collecting and accumulating huge data for analysis afterward, whereas IoT is about simultaneously collecting and processing data to make real-time decisions. In spite of their differences, it is not correct to say that the two never complement one another. In fact, both these technologies seem better off when combined together.Being perfectly compatible, big data can leverage the power of IoT to make sense of the data collected in real-time. The reverse is also true as IoT can benefit from the massive data troves gathered in big data projects to optimize, detect and even predict issues, so as to prevent them from occurring. Merging these two together is one step to being proactive with data, to shift processes and operations entirely into a data-driven approach.
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Data may very well be the new oil for this century. The world generates data on an average of 2.5 quintillion bytes each day. That’s more than we can manage. However, leveraging these massive da...Continue reading
The Logic Behind a 16 Digit Credit Card Number
By Aamir AnsariA credit card or a debit card has a unique 16 digit number that everyone is aware of. But, do you know these numbers are not a just random string of numbers rather it reveals a lot more information than you think.Ever wondered what does numbers on credit card actually represents? How that 16 digits identify the bank and the account from which your money needs to be paid to the billing party? A sample credit cardLet’s dive into these 16 digits that we just see a string of random numbers and is often wondering what numbers on credit card mean.Understanding numbers on Credit CardMajor Identity Identifier (MII): The first digit of the card represents the category of industry which issued your credit card. This is known as “Major Industry Identifier” short for MII.Following is the list of Major Identity Identifier MII:ISO And Other Industries,Airlines,Airlines And Other Industries,Travels And Entertainment American Express Or Food Club,Banking And Finance VISA,Banking And Finance Mastercard,Banking And Merchandising,Petroleum,Telecommunications And Other Industries,National AssignmentIssuer Identification Number (IIN): The first six digits of the credit card number are known as the Issuer Identification Number short for IIN and this is to identify the institution that issued the card.The series followed by VISA cards starts from 4xx while that of Mastercard starts from 51–55 as the prefix.Account Number associated with Credit Card: Taking away the first 6 identifier digits, the following 6 to 9 digits constitutes unique bank account number. Now, this is not exactly the bank account number of a customer but the account number assigned to your credit account.Check Digit: And lastly, one last digit known as the “check digit” which is generated in such a way as to satisfy a certain condition.Here is the logic behind the condition that must be satisfied:Step 1: Let’s consider the card number as 1802909582961827Step 2: As of now, just consider first 15 digits i.e., 180290958296182|7Step 3: Now beginning from the left, start with the first number, take every second number and multiply it by 2 as shown here:Starting from the first i.e., 1 and taking every second number, we will get the following numbers: 1 0 9 9 8 9 1 21 * 2 = 20 * 2 = 09 * 2 = 189 * 2 = 188 * 2 = 169 * 2 = 181 * 2 = 22 * 2 = 4Step 4: Sum up the digits if the multiplication results in a 2 digit number. i.e., 18 => 1 + 8 = 9This will give us all the result in a single digit number.So, we get : 2,0,9,9,7,9,2,4Step 5: Now, Sum up all the single digits and all the digits left in the card number.i.e., 2+0+9+9+7+9+2+4 + 8+2+0+5+2+6+8 = 73Add the sum together. Now, what must be added to the sum obtained so that it is divisible by 10? In this case, it is 7So, 73+ 7 = 80 which is divisible by 10.This last digit so obtained is called as Checksum digit.That’s the logic behind credit/debit card numbers.How many digits in a Credit Card Number?Now, the number of digits in a credit card number varies with the issuing authority.Following is the list of some issuing authorities along with their card length: Issuing Authority with Card Length (Description)VISA and VISA Electron: 13 or 16 digitsMastercard: 16 digitsDiscover: 16 digitsAmerican Express: 15 digitsDiners Club Card: 14 digits (including International and Blanche)Maestro Cards: 12 to 19 (multi-national debit card)Laser: 16 to 19 (Ireland)Switch: 16, 18 or 19 (United Kingdom)Solo: 16, 18 or 19 (United Kingdom)JCB: 15 or 16 (Japan Credit Bureau: Japan)China UnionPay: 16 (People’s Republic of China: China)What checks will we perform on your number?We perform some checks on your number and explain what each part of it means.That being said, we’ll show you results for:Luhn algorithm checkMajor Industry IdentifierIssuer Identification NumberPersonal Account Number and ChecksumCard Verification Number : There is another number which is usually behind the card usually of 3 to 4 digits and is known by various names like CVVs, CVV2s called card verification value, and card security code (CSC). These are all calculated using the CVV algorithm.The codes have different names as per issuing authority: Code issued by issuing authorityThey are required by payment systems such as MasterCard and Visa to authenticate their credit or debit cards.There are several types of security codes:The first code is encoded on track 2 of the magnetic stripe of the card and used for card present transactions called CVC1 or CVV1,The second code is often sought by merchants for card occurring by fax, mail, or Internet telephone, it is called CVV2 or CVC2.The card security code is typically the last three or four digits printed.The logic behind CVV generation:To generate or calculate the 3-digit CVV, the algorithm requires is:Primary Account Number (PAN), a 4-digit Expiration Date, a pair of DES keys (CVKs), and a 3-digit Service Code. This algorithm is only known to the bank and not for any person or organization.Tips to keep your Card and PIN safe:Sign your card as soon as you receive it.Safeguard your card as though it was a cash.Memorize your PIN. Never write it down.Do not forget to receive your card back from the salesclerk or waiter when you use it.Torn the receipts that contain the full account number if you do not need to keep them.Make sure to review your account statements as soon as you receive them so that you are confirmed that all the transactions are yours.Make a list of your credit card numbers and customer service phone numbers and store it in a safe place, probably encrypted software or some hard safe place.This way it will be easier for you to call to cancel the cards if your purse or wallet is lost or stolen.To verify any credit card or debit card click here.What NEXT?In the next part of this series, we will see the implementation of the code that will generate valid credit/debit card numbers along with their Issuing Authority and Account Number.Hope you have found this post useful. Please don’t forget to like and share with your friends because sharing is caring. :)
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Python Programming: Choosing between Flask and Django
By Hemant DudejaA web developer always has an option to pick from a wide range of frameworks while they are using Python as a server-side programming language. He can opt to take advantage of the full-stack Python web frameworks to quicken the development of complex and comprehensive web applications by availing some robust tools and features. He can also use micro and lightweight Python web frameworks to develop simple web applications without embedding any extra time and effort.Python programmers prefer both Flask and Django. Since, Django is a full-stack web framework for Python, whereas Flask is a lightweight and extensible Python web framework. Django is developed based on a batteries-included approach. It enables programmers to accomplish simple web development tasks without using any third-party tools and libraries. Although, It lacks some robust features that are provided by Python.Hence, it is vital for web developers to understand the significant differences between Flask vs Django.Comparing Two Python Web Frameworks in 2018: Flask and DjangoType of Web FrameworkAs noted earlier, Django is developed based on a batteries-included approach. The batteries that are involved in Django make it easier for developers to achieve basic web development tasks like URL routing, user authentication, and database schema migration. It also accelerates the process of custom web application development as it provides an ORM system, built-in template engine, and bootstrapping tool. Flask, on the other hand, is a simple, and minimalist lightweight web framework. Although it does not have some of the built-in features that are provided by Django still, it helps developers to keep the essence of a web application extensible and straightforward.FlexibilityThe batteries that are included in Django help developers to create a variety of web applications without using any third-party tools and libraries. But the developers lack the options to make changes to the modules provided by Django. Hence, developers generally have to build web applications by availing the built-in features offered by Django. On the other hand, Flask is a small but extensible web framework enabling developers in developing web applications with flexibility using various web development tools and libraries. Many developers find it easier to learn Flask than Django due to its smooth and customizable architecture.Admin systemDjango has an admin system that comes with an ORM (Object Relational Mapper) database system and directory structure. Developers feel that it is an all-inclusive experience when it comes to developing with Django meaning that multiple projects have the same directory structure.Flask, on the other hand, does not have these features, If you want to have an admin system or use an ORM, you’ll need to install custom modules. The Flask framework leaves this it up to the developer. It gives them the option to use it with SQLAlchemy, MongoDB or something more simple like SQLite. This can be a preferable choice as with ORM you might sometimes waste development time if you are unable to modify the SQL query directly.Development speedDjango frameworks are known amongst developers for their fast development of complex web applications. Since it is fully featured; developers have all the tools that they require to implement and develop easily reliable, scalable, and maintainable web applications, in record time. On the other hand, Flask’s simplicity allows experienced developers to create smaller applications in short timeframes.Community One of the main advantages of the Django framework is that it has an active developer community which means that if you require help, or when it’s time to scale your app, you will have an easier job finding other developers to join in and start contributing, plus a wealth of useful content already in the public domain. The Flask community is currently not as big, and so information may be harder to come by.MaturityDjango is a very mature framework, having seen its first release in 2005 which means that it has gathered numerous extensions, plugins and third-party apps covering a wide range of needs. Flask in comparison, is much younger, having been introduced in 2010, so it doesn’t have quite the same variety of options available.Template EngineFlask is developed based on the Jinja2 template engine. It enables developers to stimulate the development of dynamic web applications by taking help of an integrated sandboxed environment and writing templates in an expressive language. Django, on the other hand, is with a built-in template engine that enables developers to define the web application’s user-facing layer without putting extra time and effort. It even allows developers to stimulate custom user interface development by writing templates in Django template language (DTL).Built-in Bootstrapping ToolDjango has a built-in bootstrapping tool called Django-admin. It enables developers to build web applications without any external input and to divide a single project into multiple numbers of applications. The developers can use Django-admin to develop new applications within the project itself. They can also use the apps to add more functionality to the web applications based on varied business requirements.Usage and Use CasesSeveral well-known websites utilize both Flask and Django. But the statistics posted on various sites depict that Django is more popular than Flask as the developers can take full advantage of the robust features provided by Django to deploy and build complicated web applications rapidly. At the same time, they use Flask to quicken the development of simple websites that use the fixed content. The developers still have the option to extend and Flask programming according to the project specifications.In ConclusionWe know that Django is a more complex framework than Flask so if you're learning web programming, it can be quite challenging to understand which pieces are liable for what functionality, and what is required to get the results that you aspire. However, once you get accustomed to Django, the extra work it does can be beneficial and can save a lot of time of setting up monotonous, boring components of a web application.Sometimes it is difficult to choose between these two frameworks, but the nice thing is that when you get into the more advanced functionality of these frameworks, such as templates, these two remain very similar in many aspects. Therefore, It's easy to switch from one to the other if you ever require.If you still doubt as to which framework is better to adopt: Flask or Django after reading this guide, I would recommend that you go ahead with Flask — you'll figure out how the pieces fit together more efficiently.
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A web developer always has an option to pick from a wide range of frameworks while they are using Python as a server-side programming language. He can opt to take advantage of the full-stack Python we...Continue reading