Working on any software product is a complex process requiring expertise, a budget, competent management, and taking into account many various factors. Indeed, starting a project is one thing, and bringing it to successful release is quite another. The industry is rapidly developing, the competition in the App Store and Google Play is enormous, and only a few manage to at least bring the product to a successful release, leave alone consolidating their position in the market. To make the success likelier, it is important to know the main reasons why mobile app development projects fail and how to avoid failure. I will tell you about this in this article from the perspective of our perennial development experience. No Market Research It may seem you have found a bright idea that will earn you millions. You may also decide to take the easy route and create a clone of an existing popular app, for example, Tik Tok or Instagram. In all these cases, you risk spending time simply developing an unnecessary product unwanted on the market. That is why you cannot skip such an important stage as market research and competitive environment analysis. If the analysis results show at once that the project has no prospects in its current form, you will be able to save plenty of money and time. Moreover, you will manage to see what you have to change to make your app highly-demanded in the future. There are 5 simple ways to validate your mobile app idea: Want to start a project? Our team is ready to implement your ideas. Contact us now to discuss...
Data breach at an international student insurer, avoid stalkerware and the latest business email scam. Welcome to Cyber Security Today. It’s Wednesday May 19th. I’m Howard Solomon, contributing reporter on cybersecurity for ITWorldCanada.com. A Canadian-based insurance firm called guard.me has begun notifying policyholders of a data breach. The Markham, Ont., company specializes in covering international students not protected by government insurance. According to the Bleeping Computer news site, policyholders are being told the company spotted suspicious activity on its website on May 12th. Data accessed includes dates of birth and genders. The email and physical mail addresses, as well as phone numbers of some policyholders, were also copied. The data breach notification also says the company is now adding two-factor authentication to protect logins. Does your organization allow employees to use the Internet Explorer browser? Do you as an individual use it? If so, better make sure the browser is patched. Bitdefender says an exploit kit used by a number of cyber attackers now includes ways of getting at two unpatched vulnerabilities in Explorer to deposit malware. Victims get hit just by going to an unsuspecting but infected website. By the way, one of those patches dates back to 2018, the other to 2019. Why they haven’t been installed yet by some people is baffling. Stalkerware is a category of mobile apps that allow someone to monitor other people. Another word for it is spyware. Jealous lovers might secretly install stalkerware on a partner’s smartphone. They might tell the victim it’s an app for their own protection. Some spyware is marketed as a child or employee monitor. They come...
Published Sep 30, 2018 • Updated Mar 7, 2020 Last year I wrote a post introducing clean architecture and attempted to explain how its layered approach and separation of concerns can help overcome some common software design pitfalls enabling us to create testable, loosely-coupled code that is easier to maintain and extend. In this post, we’ll revisit Clean Architecture in the context of a somewhat more real-world example by using its principles to design and build an ASP.NET Core based Web API. Understanding these principles is critical for this guide and I won’t be covering the basics from scratch so if you’re new to Clean Architecture I recommend you check out my previous post or Uncle Bob’s to get up to speed. This guide also assumes knowledge of other topics like MVC, dependency injection and testing so if you run into something you’re not familiar with please take a moment to familiarize yourself with any new concepts. Get notified on new posts Straight from me, no spam, no bullshit. Frequent, helpful, email-only content. A Story of Layers and Dependencies At its absolute core, Clean Architecture is really about organizing our code into layers with a very explicit rule governing how those layers may interact. The overriding rule that makes this architecture work is The Dependency Rule. This rule says that source code dependencies can only point inwards. Nothing in an inner circle can know anything at all about something in an outer circle. With that in mind, to get started; I’ve fleshed out a project structure that should represent each of the logical layers in the diagram. Let’s break...
The normal flow of visiting a website is that you load a page & if you want to see new information you have to either reload the page to update it, or click a link to visit a different page. This a synchronous flow. New data is only presented when a new page is requested from the server. But… What if you don’t want this page reload? What if you want to fetch data from the backend, at any time you want, so that you can update any part of the current page? This is where AJAX comes in. AJAX stands for Asynchronous Javascript & XML. It’s a technique that’s independent of your web framework, but Rails specifically has good support for it as you’ll learn in this article. Keep in mind that adding AJAX into your app makes it more complex. Direct AJAX Request AJAX has two parts, the request, which you make from the browser using Javascript, and the response, which you handle from your Ruby app. You can make an AJAX request with plain Javascript. But because that requires a lot of boilerplate code we usually do this through a Javascript library like jQuery. Here’s what a jQuery request looks like: However, since Rails 5.1 jQuery is not available by default (but you can add it back). Note: You’ll get an InvalidAuthenticityToken error when you do a jQuery POST request, this means that you need to submit the csrf-token from the current page as a security measure. Using Rails.ajax does this for you automatically. There is a solution! Rails includes its own AJAX function: Remember, this...
“If 80 percent of our work is data preparation, then ensuring data quality is the important work of a machine learning team.” Andrew Ng The progress in machine learning progress owes a lot to teams downloading models and trying to do better on standard benchmark data sets. The bulk of the time is spent on improving the code, the model or the algorithms. “What I’m finding is that for a lot of problems, it’d be useful to shift our mindset toward not just improving the code but in a more systematic way of improving the data,” said Andrew Ng Last week, Andrew Ng drew the ML community’s attention towards MLOps, a field dealing with building and deploying machine learning models more systematically. Andrew Ng explained how machine learning development could accelerate if more emphasis is on being data-centric than model-centric. Traditional software is powered by code, whereas AI systems are built using both code (models + algorithms) and data. “When a system isn’t performing well, many teams instinctually try to improve the code. But for many practical applications, it’s more effective instead to focus on improving the data,” he said. Progress in machine learning, says Andrew Ng, has been driven by efforts to improve performance on benchmark datasets. The common practice amongst researchers is to hold the data fixed while trying to improve the code. But, when the dataset size is modest (<10,000 examples), Andrew Ng suggests ML teams will make faster progress, given the dataset is good. Improving code vs improving data quality (Source: Deeplearning.AI) It is commonly assumed that 80 percent of machine learning is data cleaning....
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