Latest Blogs
Cloud Hosting
Saima Naz
Feb 18, 2025
The Role of Cloud-Managed Services in Saudi Arabia – Empowering Vision 2030
Read More...
AI Can Help Us Fight With The Pandemic
Human beings have fought against infectious diseases throughout history. Although we have developed several effective medicines, new viruses continue to threaten us. The COVID-19 pandemic has created a sense of urgency to improve existing approaches to infectious diseases’ prevention and treatment. Fortunately, the AI and data science approaches available today can help us fight infectious diseases in a better way.
The novel coronavirus has spread from its epicenter in China to infect 414,179 people and has caused no less than 18,440 deaths in at least 160 countries over a three-month period from January 2020 to date. According to the Report on the Situation of the World Health Organization (WHO), these estimates are as of 25 March. Accompanying the horrific loss of life caused by the outbreak is the impact on the world economy which has reeled from the pandemic’s consequences.
As research specifics unfold, the data set is rising exponentially, beyond the capacity of human intelligence to handle the pandemic. Artificial Intelligence (AI) is specialized in detecting patterns from big data, and this article will help us understand how it has become one of the ace players of humanity in coping with this crisis. Using China as a particular example-study, the success of China with AI as a crisis management tool shows its effectiveness, and justifies the financial commitment that technology has had to develop in the past few years.
Developments in AI applications like natural language processing, speech recognition, data analytics, machine learning, deep learning and others like chatbots and facial recognition have been used not only for diagnosis, but also for contact tracing and development of vaccines. AI has certainly helped control the COVID-19 pandemic and succeeded mitigate the worst effects.
AI has been implemented so far in a variety of ways and the following are only some of the cases in which the technology has been used as a tool to solve the pandemic:
AI algorithms will help with the search through news reports and online content from around the globe, even before it reaches epidemic proportions, helping experts identify anomalies. The corona outbreak itself is a perfect example of AI being applied by researchers to analyze flight traveler data to determine where the novel coronavirus would occur next.
Successful implementation of predictive models will be a major step forward in the struggle to eradicate some of the most infectious diseases from the world. Big data analytics can help decentralize the process and allow timely analysis of widespread data sets produced in real-time by the Internet of Things (IoT) and mobile devices.
Instant diagnosis ensures that response measures like quarantine can be easily implemented to prevent further spread of the infection. An obstacle to rapid diagnosis is the relative lack of clinical expertise due to the sheer number of cases required to interpret the diagnostic results.
In the COVID-19 crisis, AI has improved its diagnostic time through technologies such as that built by LinkingMed, a Beijing-based oncology data platform and medical data analysis company. Pneumonia, a common complication of COVID-19 infection, can now be diagnosed with accuracy as high as 92 percent and a recall rate of 97 percent on test data sets from an analysis of a CT scan in less than sixty seconds.
An open-source AI model made this possible by analyzing CT images and not only did it identify lesions but also measured in terms of quantity, volume and proportion. This platform, novel in China, was driven by Paddle Paddle, an open-source deep learning platform to Baidu.
The number of COVID-19 cases has demonstrated that they will overwhelm healthcare systems and response measures. AI has leveraged its natural language processing capability to develop a multi-lingual virtual healthcare agent that can address COVID-19-related questions, offer accurate information and specific guidelines, prescribe safety strategies, track and control symptoms, and advise individuals about whether they require medical testing or self-isolation.
Thermal cameras have been used for detection of people with fever for some time now. The technical downside is the need for a human operator. Cameras with multi-sensory AI-based technology have already been used in airports, hospitals, nursing homes, etc.
The technology recognizes people with fever automatically and records their movements, identifies their faces and detects whether the person wears a face mask.
As AI rapidly becomes the staple, health care is certainly a field where it can play a significant role in keeping us healthy and safe. And AI Healthcare will continue to provide solutions to any of the arising epidemic.
Saima Naz
Apr 1, 2020
Microsoft Edge or Chrome in Disguise?
Statcounter research states that, ‘As of December 2019, Chrome had 69% of the world’s web browser market, compared to 4.6 for Edge and 3.6% for Internet Explorer.’
Microsoft has released an updated ‘Edge’ browser, released on January 15, which is actually the tech giant’s third attempt at building a browser that offers a better browsing experience while opting the strategy, ‘if you can’t beat them, join them.’
The first attempt, Internet Explorer, was launched in 1995 and ultimately became the most successful browser in the world. The company’s second browser, Edge, launched in July 2015, was Microsoft’s attempt to replace Internet Explorer and regain browser supremacy. That version of Edge did not work. It was only available for Windows 10, was unreliable, overloaded with functionality that few users desired, and severely lacked items which users actually wanted.
The third and the most recent attempt is, ‘Microsoft New Edge’ in which, instead of creating the proprietary code browser, Microsoft opted to use open-source Chromium source code to build the new Edge, which was originally developed by Google and is now underpinning Google Chrome and other browsers. Seasoned Chrome users will quickly feel comfortable with it — and it also allows extensions to be installed straight from Chrome’s own web store. Unlike the initial Edge browser, the Chromium-based Edge works with Windows 7, Windows 8.1 and macOS.
We have handpicked the minute differences between the two, to help you understand them better.
In the new Edge, the user interface is quite similar to what you’d expect while using Chrome. They both have rounded corners and the effects of shadow falling. As for the bookmarks bar, both Chrome and Edge just display the bars on new tabs.
Edge offers three options for you to choose from for your new tab. The Centered theme displays your most often visited pages, Inspirational presents a different picture daily, and Informational presents you with a personalized news feed. Chrome has only one focused theme option.
Edge appears to be faster in several tests, by just using 70-80% of the RAM which Chrome makes use of. So, in case your system doesn’t have a huge amount of RAM, Edge can offer you smoother and faster browsing. Edge also taxes less on the computer, making freeze-ups less regular.
Both Edge and Chrome provide access to more-functional extensions. Since both are designed on Chromium, most of the Google Chrome Store extensions function on Edge too. You must click on the three dots to use them, and choose Extensions. Then move the slider to On, next to “allow extensions from other stores.”
In the Microsoft Store, there are plugins specifically designed to work with Edge, but going out of the browser seems like an unnecessary step to add this, while you can do it all in one place with Google’s extensions.
While Google Chrome lets you sync your browser history and extensions between device-to-device, Microsoft Edge doesn’t. And if you think it’s important that your browsers work the same on various devices, Chrome’s a better choice.
Using Microsoft Edge’s Progressive Web App (PWA) support, you can convert almost any website into a standalone app. Creating a PWA provides you a desktop shortcut that connects to the site which you can see in a browser without the address bar and other features. This feature is not available on Chrome.
Collections is something which sets Edge ahead of Chrome for many of us. Collections allow the user to accumulate information from a number of sources and to bring it in one place to refer to again. It is useful in situations like planning trips, writing research papers, or comparison shopping. Collections are not live on the new version at the time of this writing, but you can use it by installing the Canary version.
One amazing feature of Microsoft Edge is that it reads to you on your mobile as well as your desktop screens. The new Microsoft Edge reads on both your desktop and your mobile phone. To do so, Chrome needs an extension to the desktop and mobile versions. More languages and voices can also be downloaded in your Windows Settings.
Edge has an immersive reading experience which eliminates all unnecessary distractions from the page, leaving only the text and other relevant content. You can also adjust background color. Chrome once had a reader feature, but now you have to install a plugin in order to enjoy both read aloud and reader view.
Edge provides you three different degrees of tracking security: Basic, Balanced and Strict. Balanced is the standard, allowing you to have some customization that you won’t get in Strict mode. In Basic, you will get a lot of customization but less privacy. For Strict mode, certain websites may not be working properly.
It is quite simple to find out which trackers are blocked on the websites you visit on your Microsoft Edge browser. You can:
In Microsoft Edge, you can configure which site-by-site permissions you wish to offer. In Chrome, however, you can either block or allow for all the sites.
Like any other browser, Edge and Chrome both have private browsing tabs. You’ll see it listed as InPrivate on the Edge browser while Chrome refers to it as an Incognito tab. Such browser windows do not save any activity when it is used for internet browsing.
Overall, Edge enjoys an edge over Chrome in that running it requires fewer resources. Also, if you’ve previously sworn off Microsoft browsers, it may be worth a try.
Saima Naz
Mar 30, 2020
Basic SEO Tips to Rank Your Content on Top
If you’re relatively new to the search marketing world, you might have heard in marketing meetings the word “SEO content” being tossed around.
Thousands of people search for content like yours every day. You can help them find you by becoming an SEO content expert. 80% of traffic on a website begins with a search query, according to HubSpot. This is why optimization of the search engine (SEO) for your content has become so essential.
Because when you write content for the right people in the correct way, your content will climb higher on search engines.
Content SEO refers to producing content that makes search engines rank the web pages higher. Content SEO is essential as your website is viewed by search engines such as Google, and the words you use on your blog decide whether or not your content can appear on their results pages.
Therefore, let us guide you with content SEO basics. Let’s get started!
Find out which keywords and phrases people are searching for (and also what you can be good at), and make a chart for yourself. Keep record of how many times you use the keywords in your content, and use the appropriate tools to determine where you rank with your target keywords. Without any second thoughts, our favorite is SEMrush.
Although it is always a smart idea to use your target keyword in the blog, peppering the copy with forced keywords won’t help push the dial much. Use your keyword in the title, in the first 300 words, and then in the first H1 or H2.
Also, having the keyword in your copy will never be difficult. Ideally, the keyword in your writing should feel natural.
SEO content shooting to the top of SERPs has a few things to do with it, including this major feature: it’s amazingly readable. Once your audience clicks on your link, they want to linger and read every single element on the page. And that makes the website look amazing for Google as the audience stay and read it. Readability leads to longer stay times with a variety of attributes added in:
• Clarity
• Organization
• Logic
• Simplicity
Your content has to express all types of information in a comprehensible manner to be readable. And, as more people understand your content, more people will stay longer which will boost your rankings in Google.
Google is not a marketing agency. You have to focus on what the target customers want. When you realize what they want, then you will create content that pulls them in.
Listening to your target customer’s input, it informs the content you create to draw more of them. If you’re writing, you can always strive to give your readers some sort of interest.
According to research, blogs featuring relevant images gain 94 per cent more views than articles without images. That’s because, simply, we’re designed to note and respond to images more than content.
Nevertheless, the impact of integrating well-designed, high-quality images into the content, is much greater than putting in a few irrelevant, overused stock images. The content with the right images will look more organized, professional and trustworthy, and it’s a great idea to invest in them for better SEO.
As a writer, you are not expected to be able to migrate a site or enable HTTPS across a whole domain. Yet understanding a basic SEO linking will make you a better SEO writer.
So first of all, it will help you build a strategy by understanding how Google crawls pages and hands out the link authority. After all, content writing is not just about writing a single blog post — it’s about writing a lot of them (and linking them up).
Also, if you have a fair idea of how your content is structured, you will help make it a little more effective— which ensures that a backlink to one of your posts will give the maximum benefit to your site.
Today, content or blog is undoubtedly the most effective digital marketing tool. Content SEO is the most competitive and by far the most successful way to drive sustainable traffic to your website. These steps can help you create credible and competitive SEO content over time and you will be able to rank higher on google or any other search engines.
Saima Naz
Mar 25, 2020
Best Python Libraries for Machine Learning
Machines are getting smarter day by day. They can automatically find repeated patterns with basic data observations, and make informed decisions without any human interference.
Machine learning’s exponential growth is largely driven by various open-source tools which make it much easier for Python developers to familiarize themselves with this language and adapt accordingly. For a long while now, Python has become a charmer to data scientists.
In the early years, people used to execute Machine Learning activities by coding all the algorithms and mathematical and statistical method manually. This made the process slow, frustrating and time consuming. But in the modern days, different python libraries, frameworks, and modules have made it very simple and efficient compared to the older days. Today, Python is one of the most successful programming languages for this role and it has surpassed much of the industry’s languages, one explanation is its extensive collection of libraries.
Python owns a wide collection of data types and data structures. But nevertheless, it wasn’t designed for Machine Learning per say. Numpy is a library that handles data, particularly one that helps us to manage large multidimensional arrays along with a huge collection of mathematical operations.
Numpy is not only a library known for its multidimensional data processing capabilities. It is also recognized for its execution speed and ability to vectorise. It offers the functionality of MATLAB style and thus needs some preparation before you can get confident. It is also a core dependence for other commonly used libraries, such as pandas, matplotlib, etc.
TensorFlow is an end-to-end python machine learning library to run numerical high-end computations. TensorFlow can accommodate deep image recognition neural networks, handwritten digit identification, recurrent neural networks, NLP (Natural Language Processing), term embedding and PDE (Partial Differential Equation).
TensorFlow Python offers excellent architecture support to allow fast computation deployments over a wide range of platforms, such as desktops, servers and mobile devices.
Abstraction is TensorFlow Python’s main appeal towards machine learning and AI projects. This feature allows developers to focus on the application’s comprehensive rationale rather than dealing with the tedious details of implementation algorithms. With such a library, python developers can now leverage AI and ML efficiently to create unique, responsive applications that respond to user inputs including facial or voice speech.
Theano is another fantastic computational framework for computing multidimensional arrays that comes in handy. Theano integrates closely with Numpy, which can handle data-intensive computations relative to a typical CPU.
While the library has similarities with Tensorflow, in terms of fitting into production environments, leaves much to be desired.
Theano is a popular python library used to efficiently describe, evaluate and optimize mathematical expressions concerning multi-dimensional arrays. It is done by optimizing CPU and GPU utilization. It is widely used to identify and detect different types of errors for unit-testing and self-verification. Theano is a very multifunctional library that has long been used in large-scale computationally intensive scientific projects but is easy and open enough for people to use it for their own projects.
Keras is a leading open-source Python library written to build neural networks and projects of machine learning. It can run on Deeplearning4j, MXNet, Microsoft Cognitive Toolkit (CNTK), TensorFlow or Theano. It provides nearly all standalone modules including optimizers, neural layers, functions for activation, schemes for initialization, cost functions, and regularization schemes. It makes adding new modules quick much like adding new functions and classes. Seeing that the model is already specified in the code, you do not need to provide separate config files for the model.
Keras makes designing and developing a neural network easy for beginners in machine learning. Keras Python also addresses convolution neural networks. It requires normalization algorithms, optimizer layers, and activation layers. Rather than being an end-to-end Python machine learning library, Keras works as a user-friendly, extensible interface that improves modularity and total expressiveness.
Pandas is an open-source Python package offering high-performance, easy-to-use data models and data analysis tools for the Python programming for the labeled data. Pandas stands for Python Data Analysis Library.
Pandas is a handy tool for munging or wrangling data. This is programmed to manipulate, read, compile, and visualize data quickly and efficiently.
Pandas take data into a CSV or TSV file or SQL database and create a Python object called a data frame with rows and columns. The data framework, say Excel or SPSS, is very similar to a table in statistical software.
Developed on top of NumPy, the SciPy library is a set of subpackages that help to solve the simplest statistical analysis-related problems. The SciPy library is used to process the array elements defined using the NumPy library, thus it is often used to compute mathematical equations that cannot be achieved using NumPy.
Scipy works alongside NumPy arrays to offer a framework that delivers numerous mathematical approaches such as numerical integration and optimization. It has a sub-package collection which can be used for vector quantization, Fourier transformation, integration, interpolation, etc.
Scipy presents a complete stack of Linear Algebra functions used for more complex computations such as clustering using the k-means algorithm, and so on. Moreover, it supports signal processing, data structures and numerical algorithms, creating sparse matrices, etc.
Saima Naz
Mar 20, 2020
10 WooCommerce Plugins to Go For in 2020
Plugins let you add new features and expand your business. It’s much easier to have a thriving online store when you are using the right tools. In this blog, we will share the best WooCommerce plugins that are used and loved by hundreds of effective ecommerce store owners.
WooCommerce is one of WordPress’s most common ecommerce plugins that you can use to build an online store. The plugin includes many of the necessary features to ease the process of creating an ecommerce website.
One of plugin’s key benefits is that you don’t need to have vast technological expertise to handle them. Installing and configuring a plugin for WooCommerce is an easy task you can do on your own. Now it’s incredibly important to choose the best plugin for your store, because badly coded plugins will cause trouble on your website.
Below, we have provided you with a comprehensive list of the best WooCommerce plugins you can add to your online store.
OptinMonster is one of the best WooCommerce plugins available on the market, and the most powerful lead generation software.
OptinMonster comes with highly advanced features like the Exit-intent technology, its iconic feature. It is an advanced behavioral technology that tracks the web visitors’ activity, which prompts them with a targeted campaign at the particular time when they are about to leave the website.
This feature can be used to reduce cart abandonment and improve sales in your WooCommerce store.
You need to focus on the SEO of your site if you want your website to be found in search results. If you are already using the famous Yoast SEO plugin, you might also want to check out WooCommerce SEO, the “glue” which holds WooCommerce and your SEO plugin together.
This marketing tool not only optimizes the website such as the free Yoast SEO plugin, but also takes it a step further and optimizes it for WooCommerce itself. This gives the marketing strategies the push necessary to take the competition forward.
You can share products as Rich Pins on Pinterest for better visibility and sharing of experiences. Exclude irrelevant details about the sitemap of your shop which may interfere with proper indexing and search rankings, and a lot more.
If you’re planning to maximize your SEO initiatives, consider investing in this WooCommerce SEO plugin.
WooRewards plugin allows you to make an online store reward system. You can give your customers more incentive to make transactions with this reward system while making them more loyal to your brand.
This is how it works: you pick how much money a customer wants to spend on earning points, how many points a customer requires to make a coupon, and how much value each coupon has. Your buyers will then get updates that provide them with all the information they need to begin using the new system of rewards. There is even a pro version which offers additional features, such as visualization of points and a loyalty level system.
Beeketing plugin for WooCommerce brings growing marketing and sales approaches into one package, giving WooCommerce business owners a full marketing automation suite. It is developed by Beeketing-a forum for ecommerce websites for marketing automation.
There is a lot of work involved in e-commerce marketing, so we like plugins that allow you to manage a number of tasks. For example, beeketing for WooCommerce is an all-in-one marketing platform which can automate product purchases, add stock indicators, provide discounts, optimize your web store, and more. The plugin is free but, for extra features, you can purchase extensions.
You will see a list of various apps within the plugin, each with a distinctive collection of features helping to raise conversion levels in the selling funnel at different stages.
To ensure a decent conversion rate your checkout page is extremely important. Therefore, the fields you’re showing on the checkout page will comply with the customer expectations. You can add, remove and rearrange fields on your checkout tab, using this plugin. The extension provides several fields including text input, checkbox, date picker, drop-down etc. When it is important for your store strategy, you can even shift the position of the core WooCommerce fields.
YITH WooCommerce Quick View lets you create a quick view option to products from WooCommerce. It is among the best plugins in WooCommerce to boost sales. A quick view helps the customers to see images of a product with a click or a mouse hover instantly.
This feature saves a lot of time of your customers by not having to load a new page for each product that heightens their interest. It improves customer engagement and helps improve sales at your store.
YITH WooCommerce Wishlist plugin enables you to save products to the wishlist. They can make the order later using the wish list or share their wish list with friends and family.
This is a great addition to your online store as people make their shopping lists and buy gifts during busy holiday seasons.
This basic plugin will significantly improve the buying process on your WooCommerce site. As we know, the WooCommerce plugin’s default order mechanism is very simple, but a few significant, modern requirements are lacking.
This plugin incorporates incredible features such as the ability to allow or disable additional columns, the reorder option on the order page, the potential to merge more than one order, the personalized order status, and more.
If you are the owner of an e-commerce store using Mailchimp, you will want to make absolutely sure that you use Mailchimp for WooCommerce.
For your Mailchimp account, you can synchronize the purchasing details of your WooCommerce customer and use it to deliver targeted campaigns, irrespective of how they buy from your online store or storefront.
Besides that, you can even send follow-up emails after purchase, suggest products, and even retrieve abandoned carts emails.
Whenever there is a new release or you want to announce something important, a good notification bar will make the process even simpler for all your visitors to make sure the announcement is noticeable.
Custom Notifications has been one of the best available notification bar plugins. It comes with a lot of great settings to make sure you can set up the notification according to the requirement. You can set the notification bar color scheme to seamlessly blend with your theme.
You’re going to have the settings to display the bar or hide it depending on a variety of different parameters. For instance, you can add different goals to your bar as well as use this bar as in the email opt-in feature if you prefer.
The plugin is a completely responsive interface that you can open up to 18 social media sites and more with those bars you will create.
Saima Naz
Mar 19, 2020