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Home AI in Healthcare

AI-Powered Infrastructure for Data-Intensive Applications

Adam Smith – Tech Writer & Blogger by Adam Smith – Tech Writer & Blogger
May 28, 2025
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The Future of Healthcare: How Digital Technologies are Revolutionizing the Industry

The global healthcare industry faces ongoing challenges, ranging from workforce shortages to cybersecurity threats. To respond to those issues, healthcare leaders are investing in innovative digital technologies like artificial intelligence (AI) to drive efficiencies, increase productivity and support patient engagement.

The Importance of a Reliable Network

Everything is moving to some sort of cloud application these days. Whether it’s supporting AI note-taking for doctors or keeping track of Internet of Things (IoT) devices, you need to be able to monitor what’s happening. That is what will allow everyone to maintain a secure connection as they use important applications. It will also ensure data is moving where it needs to go to support those applications.

Keeping Data Flowing Across the Network

Technologies like AI, predictive analytics and real-time operability offer great promise in enhancing operational and clinical workflows. But many healthcare organizations struggle to fully leverage and scale these solutions because of outdated network infrastructure. To make these kinds of solutions work the way you want them to, you need to find a way to ensure the right data is not only getting to the cloud, but that the data is in a form that you can do math on. That’s what gets you the kind of AI-driven insights to help improve operations.

The Role of IT Networking Staff

Traditionally, IT networking staff were responsible for simply managing network operations. Now, they need to be able to manage client-to-cloud to provide vital applications, including AI-powered technologies, with the data they need, as well as to keep them up and running. To start relying on these next-generation tools, you need to be able to automate what network professionals do on a daily basis.

Providing a Critical Foundation for Success

AI-native networking technology — networking systems built for AI and by AI — can effectively and efficiently provide that automation. AI can’t be an afterthought when you want to keep business-critical applications securely connected to the internet. Without AI-native networking technology, most IT teams are always in reaction mode, dealing with the latest crisis. But once you move to an AI-native networking platform, you can automate key tasks. You can deploy and scale the technologies you need. You can more easily keep up with potential security threats. And you can move out of reactive mode so you can focus on other tasks in a proactive way.

Benefits of AI-Native Networking Technology

AI-native networking technology provides a strong backbone to help hospitals and health systems streamline care delivery, meet patient expectations and reduce vulnerability to cybersecurity threats. Without AI-native networking, you won’t be able to make sure information is flowing where it needs to be in order for these new applications to be useful. It’s what will allow you to manage network operations so you can optimize where you need to.

Conclusion

In conclusion, the healthcare industry is undergoing a significant transformation with the help of digital technologies like AI. However, to fully leverage these technologies, healthcare organizations need a reliable network that can support data-hungry solutions. AI-native networking technology is the key to providing a critical foundation for success, enabling hospitals and health systems to streamline care delivery, meet patient expectations, and reduce vulnerability to cybersecurity threats.

FAQs

  1. What are some of the challenges faced by the global healthcare industry?
    The global healthcare industry faces ongoing challenges, ranging from workforce shortages to cybersecurity threats.
  2. How can digital technologies like AI help the healthcare industry?
    Digital technologies like AI can help the healthcare industry drive efficiencies, increase productivity, and support patient engagement.
  3. What is AI-native networking technology?
    AI-native networking technology refers to networking systems built for AI and by AI, which can effectively and efficiently provide automation and support for data-hungry solutions.
  4. Why is a reliable network important for healthcare organizations?
    A reliable network is important for healthcare organizations because it enables them to support data-hungry solutions, streamline care delivery, meet patient expectations, and reduce vulnerability to cybersecurity threats.
  5. What can IT networking staff do to support the adoption of AI-powered technologies?
    IT networking staff can manage client-to-cloud to provide vital applications, including AI-powered technologies, with the data they need, as well as keep them up and running, and automate what network professionals do on a daily basis.
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Adam Smith – Tech Writer & Blogger

Adam Smith – Tech Writer & Blogger

Adam Smith is a passionate technology writer with a keen interest in emerging trends, gadgets, and software innovations. With over five years of experience in tech journalism, he has contributed insightful articles to leading tech blogs and online publications. His expertise covers a wide range of topics, including artificial intelligence, cybersecurity, mobile technology, and the latest advancements in consumer electronics. Adam excels in breaking down complex technical concepts into engaging and easy-to-understand content for a diverse audience. Beyond writing, he enjoys testing new gadgets, reviewing software, and staying up to date with the ever-evolving tech industry. His goal is to inform and inspire readers with in-depth analysis and practical insights into the digital world.

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