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With this lack of visibility into their cloud environments, organizations are increasingly seeing cloud observability as a business-critical technology. Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Cloud modernization. Artificial intelligence.
It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.
trillion by 2027, up from $800 billion in 2021. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. surpassed $387 billion in 2022, more than double the figure of three years earlier. However, cloud complexity has made software delivery challenging.
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.
Put another way, the performance gap between what devices the wealthy carry and what budget shoppers carry grew more this year (252 points) than the year-over-year gains from process and architecture at the volume price point (174 points). That's where the good news ends. As we said in 2021, " 4G is a miracle, 5G is a mirage."
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