Home Blog Technology trends through the perspective of developers

Technology trends through the perspective of developers

 2023/04/25   Microsoft Power Platform   577 visit(s)  3 min to read




Numerous companies are currently undergoing a digital transformation in order to boost their competitiveness and efficiency. To achieve this, it's important for them to stay updated on the latest trends. Innovative digital technologies have the ability to revolutionize the way businesses operate, including how they engage with employees and customers.

Low-Code/No-Code – saving developers time and companies money

Companies are increasingly interested in using Low-Code and No-Code platforms to deploy software solutions quickly and cost-effectively. Low-Code platforms cater to developers looking to save time and costs, while No-Code platforms are designed for business users who can create tailored solutions using drag-and-drop interfaces. According to Gartner, a provider of research and consulting services for businesses in the IT sector, the global Low-Code market is expected to reach $26.9 billion in 2023, a 19.6% increase from 2022.

Super apps or multifunctional apps

Gartner predicts that more than half of the world's population will use super-apps daily by 2027, which is a trend that can be attributed to the desire to solve as many problems as possible for customers as quickly as possible. Super-apps, originally developed in Asia, combine different technologies in a single interface to allow people to pay bills, shop, and book accommodations all in one app. While most super-apps are currently mobile-based, the concept can also be applied to desktop applications such as Microsoft Teams or Slack. The goal is to combine and replace multiple applications with one, for the benefit of the customer or employee.

Artificial Intelligence (AI) and Machine Learning (ML)

The utilization of AI in the business sector is on the rise, with voice assistants being one of its most popular applications. These chatbots enable companies to communicate with customers in a prompt manner while also drastically cutting down on operational expenses. As AI and ML technology continue to expand their possibilities, chatbots are expected to be utilized in a variety of novel ways. Chatbots have been incorporated into numerous areas of business, ranging from websites to communication platforms and mobile applications, to enhance customer support and streamline internal communication and task automation. As machine learning and artificial intelligence technology advance, chatbots will become capable of handling increasingly complex tasks and effectively assisting humans.

Internet of Things (IoT)

The Internet of Things (IoT) is a term used to describe all networks of intelligent devices that are connected to the Internet. Statistics show that the number of IoT devices across the globe is expected to reach 38.6 billion by 2025, with that number estimated to increase to approximately 50 billion by 2030. McKinsey, a global management consulting firm that serves leading businesses, predicts that the global IoT market will grow to $12.5 trillion by 2030. Rogowski elaborates that the IoT allows for the collection and analysis of data in a manner that optimizes various processes. As the popularity of Web 3.0 (the next-generation decentralized Internet) grows, the significance of IoT technology will increase. Web 3.0 will combine IoT and ML technologies, providing users with a more personalized experience.

Computing Power

The modern digital age requires significant computing power to efficiently collect and process vast amounts of information. The technologies discussed earlier cannot fully develop without adequate computing power. Access to the appropriate infrastructure is necessary to ensure that the right computing power is available. Going forward, it is essential to work on adapting current infrastructure to meet the growing demands of cutting-edge technology. Increased computing power will enable the development of advanced software and applications and facilitate faster processing of larger data sets. This will drive innovation and create new opportunities in fields such as artificial intelligence, machine learning, and big data analytics.

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