“The utmost thing is the user experience, to have the most useful experience.”
Designers swear by the benefits of a modest UX design. And to come up with an app experience that engage users and drive conversions, they follow the latest principles of UX designing. But despite that, we find them musing over the low retention rate of the app due to unimpressive user experience.
Big data is inundating businesses, persistently. The idea to collect, analyze, and act up on a set of data is harnessing businesses to make informed decisions and have a strategic plan for time ahead.
Moreover, big data has been the driving force for most of the trending technologies today. Machine Learning, Deep Learning (subsets of Artificial Intelligence), Internet of Things (IoT), Hadoop, NoSQL etc. are strongly backed by big data for processing the results.
A Search Box is one of the most powerful, yet an underestimated element of a mobile app. While it’s a simple textbox with an input field and submit button, it needs to be presented well to its users, for the fact that it’s used very often (especially in apps that are content-heavy).
App download number is a delusive metric, as it does not reflect whether the application’s objective or key value proposition is being met or not. To figure out whether your app is achieving what it was built for (more revenue, user engagement or brand building), you need to go beyond counting app store downloads. The following post describes 15 metrics that matter the most for any sort of mobile application, why they are important and how to track them.
Ideas are easy. It's the execution of ideas that really separates the sheep from the goats. ~ Sue Grafton
No matter how great an idea is, it is nothing more than a hallucination, if not executed well. And that is why, choosing a right partner for giving life to your idea is extremely important.
Millennials, Gen X, and even the baby boomers are dependent upon the smartphones for their daily tasks. And as the number of mobile users rise, reaching them through apps have become one of the most followed trend amongst businesses.
Can you imagine a mobile app automating and controlling a number of tasks for the users, without being explicitly programmed for it. Well, that might sound fanatic, but it’s a practicable model today. Thanks to Machine Learning!
Machine Learning (ML) is subset of Artificial Intelligence (AI) that analyses a set of data, builds an analytical model, and then predicts accordingly. By implementing ML to mobile apps, businesses can ensure better experience to the existing and anticipated users.
Machine Learning (ML) has turned out to be one of the profound applications of Artificial Intelligence (AI). From Virtual Assistants to traffic predictions, ML is refining the way some of the conventional tasks are performed. With ML holding its strength in pattern recognition and cognitive learning, it has found its significance in intelligent application development.
“Over 2.3 billion users across the world are using smartphones. There are 4 billion mobile apps and 325 million connected wearable devices used worldwide.”
This steep rise in adoption of mobile platforms and smart devices has broaden up ways for physicians, hospitals, and other healthcare associations to deliver real time care and information to the users.
Devops is a paradigm shift in the software development sphere as it focuses on intense collaboration between development and operations team, with customer empathy and infrastructure automation at its core. It is being practiced by a numerous software development companies across the globe to increase productivity, reduce costs, and build products with more customer focused approach.
However, For many of the organizations, jumping head first into DevOps have been observed to be daunting.