Not too long ago, businesses tended to downplay the importance of integrating analytics into their operational strategies and embracing digital big data. The formidable challenges of hefty budgets and a need for more qualified digital transformation professionals were major barriers, deterring companies from fully engaging with the big data era.

From ancient times to infinity, there is that one industry among many others, that has not lost its significance and never will-which industry are we talking about here? Well, it’s the Agriculture Industry. Yes, the Agriculture sector, like farming, which has existed since the dawn of humanity, is no longer considered as traditional and conservative as it used to be.

You definitely must have heard about this one term fluttering in the air: ‘Flutter’. Flutter, a relatively new mobile app development framework, has been gaining a lot of popularity among mobile app developers in recent years. Don’t you agree? But why is that so? Are other frameworks not up to the mark? Or is it just the simplest and ever-evolving tech stack?

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

Why is data important, you ask? And, how does blockchain technology help organizations when sharing data? Well, in today's fast-paced world of technology, staying ahead of the game is crucial for businesses. To do that, you need a deep understanding of your product, market, and competition. And that's where data steps in - it's the crucial element that can make all the difference.

Too many cars, too few parking spots, and never enough time! Does that sound familiar? Well, this chaotic hustle-bustle gave rise to urban transportation apps like Uber. The mere mention of its name brings a sigh of relief to daily commuters like us, isn’t it? But wait a minute. Have you ever wondered how this magical app came to be? Do questions like- ‘How can I make an app like uber, and how much is the cost to build app like uber?’ ever crossed your mind?

The relentless rise of ChatGPT and other Large Language Models has brought a major breakthrough in the world of artificial intelligence. With key industry players like Meta, Google, Nvidia and Microsoft competing fiercely to dominate this space, it’s likely we’ve only seen the start of the innovation. Several big companies have made their AI Models and platforms available for the public to use and build on.

As the mobile app market continues to expand, the demand for robust and efficient testing solutions has never been greater. Traditional testing methods are proving inadequate in addressing the complexities and speed requirements of modern mobile applications. This blog explores how cloud mobile testing is transforming quality assurance (QA) in the mobile era, offering scalable, flexible, and cost-effective solutions that meet the demands of today’s fast-paced development environments.

Does your application function as expected across the many devices your customers use? People use the same application across a wide range of gadgets, including mobile phones, smart TVs and streaming devices, gaming consoles, and desktop web apps. It’s imperative that all versions of your application work consistently and as expected across various platforms.

Since it was created by Facebook in 2012 and made publicly available in 2015, GarphQL has changed everything about how we fetch data from servers for our front-end apps. Most front-end clients typically use REST APIs to retrieve data from the server, this includes mobile apps for platforms like Android, iOS, and Flutter, as well as JavaScript frameworks like React, Angular, Vue, and Next. A huge advantage of GraphQL is that it enables front-end clients to request only the API they require.