All about Soft-verse developments and necessities along with industry-led insights and trends.
Many websites are not designed with accessibility in mind, making it difficult for people with disabilities to use them. As a result, web designers and developers need to prioritize accessibility when building websites.
Smart data is the process of filtering and analyzing big data to extract meaningful and actionable insights. It involves using advanced analytics tools and techniques to identify patterns and trends, and leveraging these insights to make informed decisions for your business.
The latest mobile OS versions come with new features, updated design guidelines, and improved security measures, which can significantly enhance the user experience.
Microservices is a software design approach that decomposes a monolithic application into a set of loosely coupled and independently deployable services. These services are small, focused, and perform specific business functions.
Progressive Web Apps are web applications that have the look and feel of a native mobile app but are built using web technologies such as HTML, CSS, and JavaScript. PWAs can be accessed via a web browser and can be installed on a user’s device, just like a native app.
In the world of design, user experience (UX) is king. The success of a product or service is largely dependent on how users interact with it. To create a positive user experience, designers must prioritize consistency across all touchpoints.
The Internet of Things (IoT) has revolutionized the way we live and work, connecting devices and appliances to the internet to enable communication and automation.
The big data industry is constantly evolving and businesses need to stay updated with the latest trends and predictions. We’ll take a look at the most significant big data trends for 2023 and beyond, and what these developments could mean for businesses that are looking to stay ahead of the curve.
Technical support is a critical component of customer satisfaction, and it plays a crucial role in ensuring that customer needs are met. However, measuring customer satisfaction can be challenging, particularly in the technical support space.
Artificial intelligence (AI) and machine learning (ML) have taken the tech world by storm, and the trend is only set to continue. The integration of AI and ML into mobile apps has opened up a world of new possibilities, but it also comes with its fair share of challenges.
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