Software Engineering Insights

Research suggests that the average attention span of humans is less than 8 seconds. Hence, it becomes crucial for product companies to cut through the digital noise and craft experiences that are fresh, inspiring, and engaging for their users. 

Product designers must stay on top of the latest technological trends in UI/UX design such as minimalism, scrollytelling, neomorphism, etc. This way you can drive meaningful digital experiences while keeping your users hooked.

Let’s explore some of the most talked about UI/UX trends of 2024 in the blog today and deep dive into how you can make the most of them. Also, get a peek into what’s more to come in the future of design.

Imagine trying to solve a jigsaw puzzle without all the pieces. Won’t be possible, right? While you might be able to make some progress, you won’t be able to finish. Synthetic data is like having all the pieces of the AI puzzle with you -  right at your fingertips. It lets you build and fine-tune your models minus the real-world data limitations. Think of it as a flexible way to train your algorithms with vast amounts of artificial data that closely resembles the real one. Plus, it also helps you sidestep privacy challenges, security risks, and high costs that come with getting access to real-world data. 

Businesses today often come across the challenge of picking the most appropriate architectural approach for their applications. Although microservices are known for their scalability and flexibility, modular monolith is stepping up as a great option for organizations seeking to balance between manageability and complexity.

Algorithmic websites have become the driving force behind immersive and personalized shopping experiences. Imagine your last online shopping spree: the tailored recommendations, targeted ads, and seamless search results that you saw, weren’t just coincidences—they were the products of sophisticated algorithms at work. These algorithms are the brain behind how algorithmic websites work.

Wondering what are algorithmic websites? Simply put, these are websites that use complex algorithms to deliver personalized recommendations and content to users. 

Currently at 20.9 billion in 2024, the global AI in Healthcare market size is set to reach at 148.4 billion by 2029. Moreover, a report by McKinsey and Harvard researchers reveals that AI could save the healthcare industry up to $360 per year. These statistics clearly indicate that we will continue to see considerable transformations in the healthcare landscape with AI at the forefront, leading the change. 

Been around for decades, Chatbots have recently gained significant attention due to the advancements in the field of AI. With features like automated query resolution, appointment scheduling and much more, chatbots have accelerated the pace of change and have made healthcare more accessible.

With smart manufacturing & Industry 4.0 reinventing the landscape, the need for advanced and interconnected manufacturing systems is now even more essential than ever. At the centre of this evolution lies Manufacturing Execution Systems (MES), weaving emerging technologies such as Industrial Internet of Things (IIoT), artificial intelligence and cloud computing, into the intricate process of manufacturing.

With the changing consumer behaviour and desires, the lines between the industries such as retail, fashion, fintech and healthcare are slowly and steadily fading with technology. What we are seeing today is a universe where smartwatches are used for payments, smartphones are enabling everything from virtual shopping to virtual tours, credit cards are branded with in-store offers, and online pharmacies are delivering smart health devices right at the doorstep. 

One such technology that is changing the way we look at the future is - Wearables.

Globally, 1 in every 2 outsourced projects either fail outright or fail to meet the client’s requirements.

Most software development projects fail or lose momentum because organizations choose a software development company based on cost comparisons or skill sets in any specific technology. However, this approach can slowly lead to a growth gridlock and push you way behind your business goals.