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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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How AI and Data Science in 2024 Will Shape Tomorrow's World

DZone

Healthcare Revolution One of the most promising domains where future AI and Data Science are set to leave an indelible mark is healthcare. Imagine a healthcare system that anticipates individual health risks, recommends tailored preventative measures, and assists physicians in making more accurate diagnoses.

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Article: Transforming Legacy Healthcare Systems: A Journey to Cloud-Native Architecture

InfoQ

Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project but an ongoing journey.

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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 199
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What Is a Performance Engineer and How to Become One: Part 1

DZone

They help them to resolve issues, blockers, and everything that will help to improve application/system performance to meet SLAs, and challenges and advance business interests. and domains that are likely to be more in demand in fast-developing sectors like BFSI, healthcare, e-commerce, insurance, and many more.

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Dynatrace can provide a 274% return on investment over three years

Dynatrace

“The big difference in Dynatrace, and the selling point for me was the intelligence, root-cause analysis, and that Dynatrace is automatically analyzing the whole stack.” – Director of IT Operations, Healthcare Technology. There are times [when] Dynatrace catches issues before other systems do.

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Chaos Engineering and Machine Learning: Ensuring Resilience in AI-Driven Systems

DZone

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare and finance to autonomous vehicles and Algorithmic trading. However, ensuring their resilience and reliability is crucial as AI and ML systems become increasingly integral to our daily lives.