As the count of GPT-based customized bots reached approximately 3 million, OpenAI promptly identified this growing trend. On January 11, 2023, the GPT Store was introduced, showcasing OpenAI's commitment to continuous innovation in establishing itself as a leading AI platform. This unique app store categorizes GPTs based on their functions, such as writing and productivity. Looking ahead, the company aims to implement a leaderboard highlighting the best-performing models, further solidifying its position in the dynamic field of artificial intelligence.

What is RPA? RPA is one of many technological efforts aimed at emancipating human minds from boring, tedious tasks. However, unlike AI or machine learning, RPA is easier to develop and apply in real life. To understand more about RPA as well as when you should and shouldn't develop RPA, let's read this article.

In the unfolding landscape, the year 2024 is poised to witness the deployment of Web3 applications in diverse industries such as gaming, real estate, and consumer-centric tools. Embracing the inherent advantages of blockchain—decentralization, heightened consumer privacy, and seamless native payments—these applications are poised to redefine user experiences. Ketan Rahangdale, the visionary CEO of Unitea, a mobile and web-based social music community platform, anticipates that by 2024, Web3 applications will permeate industries, fostering a new era of innovation. In this article, we delve into the insights of industry experts as we unveil the top 7 Web3 trends that are set to shape the digital landscape in the coming year.

"Digitalise to survive" swiftly becomes the movement of our era, portraying digital transformation as the "inevitable reimagining of business" in the coming years. This article dives into the implications of digital transformation for organizations across various industries and sectors, illustrating how it fosters efficiencies, productivity, and an enhanced customer experience.

Imagine a realm where transactions occur instantly, with security and transparency at the forefront. In this world, verifying ownership of digital assets is effortless, and financial services are readily accessible to everyone, eliminating the need for intermediaries. Welcome to the groundbreaking domain of blockchain technology!

Blockchain has gradually emerged in various fields, including finance, medical care, logistics/trade, manufacturing, real estate, games/entertainment, and government. The reason is that blockchain possesses unique characteristics such as being immovable, low cost, no centralized administrator, and transparent so that all participants can view transaction information, is an appropriate solution to the challenges faced by various industries.

The astonishingly rapid development and rollout of ChatGPT has been a reminder of the power of science and technology to change the world. Although ChatGPT based on new Generative AI technology seemed to have been created and grew up almost instantly, they actually drew upon decades of research going back to the 1960s. As the saying goes in the technology industry, it takes years to create an overnight success. So what else might be about to burst into prominence? Here emerging technologies for web development worth watching in 2024.

Recent McKinsey Global Survey data indicates that the field of generative AI is developing quickly. A significant number of these tools were only introduced a year or so ago, and according to a third of survey participants, at least one business function regularly employs generative AI. AI has drawn attention in recent years from corporate leadership as well as technical staff. More than 25% of respondents whose companies use AI already use generative AI tools, and nearly 25% of C-level executives surveyed personally use generative AI tools in their work. There have been rumors that the Board of Directors has this on its agenda. In addition, forty percent of participants indicated that they would augment their AI investment. The survey results show that it is still early days in managing the risks associated with AI, with less than half of respondents saying they have been able to reduce the risk they believe is most relevant: inaccuracy.

Every software development team undergoes testing for their products, yet delivered software invariably contains defects. Testers aim to identify and rectify defects before a product launches, but even with the most rigorous manual testing processes, defects persist and may reoccur. Test automation software emerges as the optimal solution to enhance the effectiveness, efficiency, and coverage of software testing. Automated testing tools execute pre-recorded, predefined actions, compare outcomes to expected behavior, and relay test results—success or failure—to test engineers. The beauty of test automation lies in its ability to be created once, easily replicated, and scalable for tasks unattainable through manual testing. Consequently, seasoned managers consider automated software testing an indispensable component of successful development projects. This article explores the following: Understanding test automation Advantages of employing AI (artificial intelligence) in test automation Considerations for Test Automation with AI Practical applications of AI in test automation A 2023 comparison of AI-based test automation tools By delving into this article, readers gain insights into automating tests with AI. It is a must-read for anyone seeking to automate tests and avert failures stemming from defects.

A business system is only effective when used extensively by all employees and when all functions are effectively utilized. Therefore, when implementing a business system, it must be designed with an emphasis on an intuitive user experience. Such UI/UX design is necessary to simplify complex tasks and enable employees to operate efficiently.