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Why Mobile App Development Need To Gear Up? – 360 Degree Technosoft

Why Mobile App Development Need To Gear Up? – 360 Degree Technosoft

June 24, 2017 Well, app development was never a lethargic process, and now with the advent of RMAD tools and low or no code app development, the process is like a house on fire. There would be wild thought running around your mind that with already 2.2 million mobile apps existent in the Apple store and 2.8 million apps in the Google play store why is there wave of the rush for Android and iPhone app development? The answer lies in the revenue hidden in this market. Let’s introduce you to the figures of app revenue that are driving more and more developers to gear up app development process. Back in the year 2015, the total revenue of this app development was 69.7 billion US dollars. Now, the projected app revenue for the year 2020 is expected to be 188.9 billion US dollars. The hype in revenue is due to in-app advertising and app stores. This is what driving the developers to develop apps even when there is a massive amount of competition. An individual spends on an average 5 hours, a massive time period of 5 hours, you see. If you are a business owner, you can have access to these 5 hours of users time and engage customers through it. Out of this 5 hours, half of the time is engaged in social media, messaging and entertainment apps. What you are left with is the rest half to attack. Several startups and iPhone and android app development companies do recognize this emerging trend and try to cope with the same but they take an extremely outstretched time...
Top cyber security role can’t be filled because of low salary, says Laois TD

Top cyber security role can’t be filled because of low salary, says Laois TD

Portarlington-based independent TD Cathal Berry says that the position of the National Cyber Security Centre (NCSC) has been vacant for more than a year because the salary isn’t sufficient to attract a suitable candidate. Deputy Berry, who is a TD for the Kildare South constituency that also includes Portarlington, Killenard and Ballybrittas, is a former Deputy Commander of the Army Ranger Wing, and has hit out the limitations of the NCSC following the cyber attack on the HSE and the Department of Health. “You’re looking at the head of IT security for Ireland being paid €89,000 so they couldn’t get someone to take a job,” he said in an interview with the Irish Times. “(The NCSC) is supposed to be kicking ass when it comes to all the other Government departments so you’d expect someone to have the appropriate status so they can interact with secretaries general across the Government service”. “Our capability is improving but it is still very limited,” he added in a statement.  “The capacity of the National Cyber Security Centre needs to improve on three fronts – premises, budget and staff. “It’s incredible that we still don’t have a dedicated premises yet and their budget of €5 million a year is not sufficient. 2Most importantly, from a talent perspective, we need to improve the amount of people there. “There is currently only 25 people on the staff and the appointment of the Director of the National Cyber Security Centre has been vacant for the last year.” Deputy Berry added that “the National Cyber Security Centre was intended to be a multi-agency entity with the support...
The Non-Technical Guide to Machine Learning & Artificial Intelligence

The Non-Technical Guide to Machine Learning & Artificial Intelligence

Shivon Zilis and James Cham, who invest in machine learning-related companies for Bloomberg Beta, recently created a machine intelligence market landscape. Below, you can find links to the 317+ companies in the landscape (and a few more), and play around with some apps that are applying machine learning in interesting ways. People to Know in Machine Learning and AI Chief Scientist of Baidu; Chairman and Co-Founder of Coursera; Stanford CS faculty. The godfather of deep learning. CEO of Journal. Former Data Engineering Lead at Mattermark. Google Senior Fellow at Google, Inc. Co-founder and leader of Google’s deep learning research and engineering team. Technical Fellow at Microsoft Research Deep Learning at Google Brain. Computer scientist and E. Fredkin University Professor at the Carnegie Mellon University. General Partner at Andreessen Horowitz. Founder at FastForwardLabs. Data Scientist in Residence at Accel. Tesla Motors, SpaceX, SolarCity, PayPal & OpenAI. The Principal Data Scientist at Booz Allen, PhD Astrophysicist. Co-Founder & CEO SkipFlag. Previously Principal Data Scientist at LinkedIn, Engineer at AOL. Chief Scientist at Lexalytics. Research scientist at OpenAI. Previously CS PhD student at Stanford. Former VP of Data Jawbone & LinkedIn data scientist. Leading Engineering at Quora. Netflix alumni. Professor of Computer Science, Stanford University, Director of Stanford AI Lab. Royal Society University Research Fellow. Associate Professor in Computer Science at London’s Global University. Associate Professor with the Gatsby Computational Neuroscience Unit. University Lecturer in Engineering Science at the University of Oxford. Associate Professor, UC Berkeley, EECS. Berkeley Artificial Intelligence Research (BAIR) laboratory. UC Berkeley Center for Human Compatible AI. Co-Founder Gradescope. Slack Data Engineering and Apache Crunch committer. Head of Search, Learning,...
Ruby on Rails – The Modular Way

Ruby on Rails – The Modular Way

In this article, I want to share with you a different way to build Ruby on Rails applications. I call it the Modular Way, and the main idea behind that name is to separate your application into small and reusable modules thanks to Rails engines. If you’ve been working with Ruby on Rails, you know how easy it is to create a basic application thanks to the ‘conventions over configuration’ concept. After a while however, it’s usually not enough anymore. The quick and simple application that was created to get an MVP out ASAP is not up to the task and requires changes. People then start to think about ways to optimize their application. But this might not actually be needed. Let’s say the application, whatever it is, is doing well in its niche. It’s not the new Facebook or Twitter but revenue is there and people like the product. The good news is that the concept is good and could be reused in other industries, however not every industry has the same needs. How about we separate the code into smaller components? We would be able to plug or unplug any feature with this solution. We could then use those components in different applications. The tricky part is how we end up separating the source code. The best way to do this is to encapsulate each feature in its own module. That probably sounds quite abstract. Let’s dive in and learn more about modular applications. 1. Monolithic Applications A monolithic application, like the name says it all, is an application built in one block. Basically, like a monolith....
Setup Macbook M1 for Web and React Native development – DEV Community

Setup Macbook M1 for Web and React Native development – DEV Community

I recently upgraded from Macbook Air 2017 to Macbook Pro with an M1 chip. My four year old Macbook Air was giving up. The performance to run heavy tasks like using the iOS simulator when developing and working on React Native apps was declining. I had long given up using the Android emulator and have been using a real Android device for testing. December 2020 was the time I decided its time to upgrade. I had a long internal discussion with myself for almost a month that whether should I upgrade to M1 or stick with Intel-based chips and spend them bucks. Don’t get me wrong here, M1 is not cheap either as I did go for a RAM upgrade to max limits which is currently 16GB in the base model. The kind of performance I was expecting after going through some online reviews and research, has been worth it so far (it is fast, no doubt). I received it two weeks back at the time of writing this post and since then I have installed all the necessary tools and utilities that help me work on Web development and React Native apps. My local environment currently includes: Other apps: Rosetta 2 Rosetta 2 is the lifeline that allows you to run apps designed for Intel-based chips that use x86 architecture on ARM-based chips (in this case M1). This solution is provided by Apple in form of an emulator and doesn’t come pre-installed. You have to install it manually. Fire up the Terminal application that comes pre-installed on the Big Sur and let your first command to execute be:...
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