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Did you know that the global educational technology (ed-tech) market is projected to grow to over $434 billion by 2030? This exponential growth is largely driven by emerging technologies like Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR). These innovative tools are not just fancy additions to classrooms but they are completely reshaping how we think about education.
Businesses are always trying to get better and stay ahead of their competition. There are many tools out there to help make business processes easier like workflow automation software, project management platforms and data analytics solutions. But artificial intelligence (AI) stands out, especially with AI-driven chatbots.
Education is evolving, and perhaps no shift is as significant as the rise of personalized learning driven by Artificial Intelligence (AI). Traditional classrooms are giving way to flexible student-centered models and we are witnessing a true educational revolution. According to market reports, The global EdTech industry is valued at $115.80 billion in 2022 and is projected to skyrocket to $433.17 billion by 2030 with an annual growth rate of 18.3%. This massive growth underscores how AI has become a cornerstone in transforming education into something more adaptable and individualized.
Businesses interact with their customers using AI Chatbots or Conversational AI. They are offering unique capabilities that cater to the different levels of customer interaction. But what are these technologies, and how do they differ?
In this article, we'll learn about AI chatbots vs. conversational AI, their benefits, use cases, key differences, and how they shape the future of customer interaction.
Today, we're diving into Git rebase, a tool that, once mastered, can help us manage branches in a clean and efficient manner, ensuring our commit history remains tidy and linear. We’ll discuss how to use Git rebase effectively, including practical tips and common pitfalls.
Artificial intelligence is rapidly transforming how developers approach coding tasks, and Cursor AI is one of the tools that aims to improve the way we code by offering powerful AI integrations. One of Cursor AI's standout features is its ability to customize and apply AI rules to different coding environments, enhancing the precision and efficiency of your code generation process.
What if the digital product you've built and invested time into is unknowingly excluding millions of potential users? In our rush to create sleek, feature-rich websites and apps, we may be building barriers instead of bridges? We often tend to overlook digital accessibility but it has a deep impact.
You may face a wake-up call when it comes to digital accessibility and conducting its audit. Perhaps we should realize that creating truly inclusive digital products isn't just a nice-to-have feature but it's essential.
Did you know that developers spend an average of 17.3 hours per week debugging code? That's nearly half of a typical work week! But what if we told you there's a tool that could dramatically reduce this time and boost your overall productivity? Cursor AI is the new Integrated Development Environment (IDE) that's revolutionizing the way we code and debug.
Did you know that Google's monorepo contains over 2 billion lines of code across 9 million source files? This staggering scale highlights the immense challenges developers face when working with large codebases.
Git, the distributed version control system created by Linus Torvalds, has become the de facto standard for managing source code. Its powerful branching and merging capabilities make it an excellent choice for handling code repositories. However, as we'll see, Git faces some challenges when dealing with extremely large repositories.
Today we will learn about how developers can easily manage the monorepo codebase in git using git’s sparse index feature.
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