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The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert. Ninety-four percent of surveyed health system senior executives said the nursing shortage is critical.

Imagine harnessing the power of ChatGPT's human-like responses right from your Java code! It'd be like adding a supercharger to your already powerful engine. This step-by-step, hands-on guide (with full example code at the end) will show you exactly how to integrate, interact, and leverage this union so you can build smarter applications. Before you know it, you'll have Java and ChatGPT playing nice to deliver a user experience that's nothing short of mind-blowing.

Is the generative AI honeymoon over already? After months of buzz around its transformative possibilities, excitement is now starting to be tampered by a growing concern on trust and data privacy. Just in the last few weeks, there have been several lawsuits launched against AI companies, including a well publicized charge of copyright infringement.

Many businesses are facing new challenges in the wake of a looming recession caused by many factors, along with challenges carried over from previous years since the pandemic. As supply and demand shifts, prices of goods and services increase, causing inflation to rise. In response, the Federal Reserve attempts to control inflation through interest rate hikes, which lead to tightened credit conditions.

Generative AI has already had a massive impact on business and society, igniting innovation while delivering ROI and real economic value. According to research by QuantumBlack, AI by McKinsey, titled “The economic potential of generative AI”, generative AI use cases have the potential to add $2.6T to $4.4T annually to the global economy. This potential spans more than 60 use cases across all industries.

If your business has a lot of complex workflows, you’re likely relying on a number of tools and manual processes to get things done. And if you’re seeing that processes are slow, inefficient, or require a lot of manual work, business process modeling tools can help. Business process modeling tools are specifically designed to help you model and optimize your business processes.

If you’re not using artificial intelligence (AI) in your organization right now, you’re behind. But the reality is that beyond inputting some ideas into a large language model like ChatGPT, AI just isn’t that simple to operationalize across your business (although the benefits are real).

In today’s interconnected and dynamic world of microservices, ensuring optimal traffic management and protection against malicious attacks are critical. Rate limiting, a popular mechanism for controlling request flow, gets more effortless with the introduction of Global Rate Limiting in Kong Mesh. In this blog post, we’ll explore this exciting new feature and its benefits in detail.

We are thrilled to announce that we have reached a significant milestone in our journey to provide the best possible developer experience to our Kong user community. We have added a host of new functionality to decK, our declarative management tool for Kong Gateway. These new functions enhance API lifecycle automation (APIOps) capabilities and provide a smoother path to federated API management. These features are now available to everyone and can be found in decK 1.24.0.