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While you’re reading this sentence, ChatGPT handles approximately 250 million weekly active users, averaging over 35 million daily queries. Yet here’s the stark reality: according to research studies and surveys, only a fraction of websites effectively optimize their content for AI search platforms. This isn’t just another digital marketing trend; it’s a seismic shift in how customers discover businesses.
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The healthcare industry generates an overwhelming amount of data every single day-roughly 137 terabytes!
This massive influx comes from a variety of sources, including medical devices, genetic studies, medical imaging, patient-generated health data, and historical EHR records. But the challenge is that this data isn’t neat or uniform. It’s a chaotic mix of structured EHR entries, unstructured physician notes, and complex imaging files, making it tough to store, process, and analyze. And clearly, traditional data handling and processing won’t be enough for this.
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.NET has been developers’ favorite for over 25 years, and it’s easy to see why. Even after decades of updates, you can still work with the same code and libraries without worrying about breaking your app by using an older version. This remarkable backward compatibility provides a stable foundation that allows applications to scale and evolve seamlessly, enabling developers to innovate confidently without requiring extensive rewrites.
With the arrival of the latest .NET framework update—.NET 9, it gets even better, offering new features that help you create high-quality, future-ready applications, all while staying grounded in what makes this framework so reliable. Let’s explore the .NET 9 community toolkit.
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Imagine a world where multiple intelligent agents seamlessly collaborate to automate business processes, analyze data in real time, and provide personalized customer experiences. From virtual assistants managing appointments to fraud detection systems analyzing financial transactions, the rise of AI agent frameworks is transforming industries by coordinating complex tasks with minimal human intervention. The orchestration of these agents has become essential, delivering new capabilities through precise task management and dynamic decision-making.
As artificial intelligence (AI) continues to revolutionize industries, the role of developers is undergoing a dramatic transformation. It’s no longer enough for developers to be masters of coding languages and algorithms—today’s corporate world demands much more. AI challenges are reshaping the way developers contribute, requiring them to broaden their skill sets beyond technical expertise.
“The cloud is democracy.” – Marc Benioff, CEO of Salesforce.
Rightly said, the statement above captures the true essence of why cloud platforms have undergone mainstream adoption-all in good spirits. They enable you (whether you own a startup or an enterprise) to test your strategies in no time and with relatively less money. AWS and Azure are the leading cloud service providers, among others including Google Cloud Platform, Alibaba Cloud, and IBM Cloud. In this piece, we’ll explore the leading two.
Is serverless computing truly the future of cloud technology, or just another passing trend? Initially hailed as a transformative technology, serverless computing promised to free businesses from the burdens of server maintenance, scaling issues, and infrastructure costs. As of 2023, the majority of organizations leveraging the AWS and Google Cloud had at least one serverless deployment (as per Datadog’s State of Serverless report).
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Need an app for multiple platforms without extra coding? Cross-platform application development could be the perfect solution for you. With the rapid increase in mobile phone usage and the proliferation of smart devices, these apps have become essential for achieving digital success.
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As per Statista, the container management market is projected to grow from USD 465.8 million in 2020 to approximately a billion USD in 2024. This rapid growth highlights the increasing importance of containerization in modern software development. Today, this market is dominated by leading platforms, Docker and Kubernetes, each playing a crucial role in how organizations deploy, scale, and manage applications.
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The demand for user-centric application software development is higher than ever, with the market poised to reach US$179.90 billion in 2024. While this demand presents a myriad of opportunities for businesses, meeting it traditionally is a time-consuming process requiring extensive coding and iterations. However, with advancements like generative AI, many tools like ChatGPT are transforming this scenario by automating significant portions of the development process.
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