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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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Healthcare Domain Testing (With Example Test Cases)

DZone

The healthcare industry is one of the largest in the world, and it is intimately linked to human life and has a significant impact on individual lives. Healthcare refers to the diagnosis and treatment of disease, illness, and other physical and mental disabilities in people. What Is Healthcare Domain Testing? Introduction.

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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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Importance of Testing Virtual Care and Remote Medicine Apps

DZone

The healthcare industry is growing expeditiously as healthcare practitioners are looking for ways to improve patient care and give them easy access to care options while reducing the overall cost of maintaining the infrastructure.

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Which Programming Language Is Most Popular for UI Test Automation in 2019?

DZone

More than half of the top ten companies in software, financial services, and healthcare verticals have enhanced their UI test automation suites with Applitools' visual validation. You may also like: 10 Programming Languages You Should Know in 2019. What Our Data Is Saying.

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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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AI Advancement for API and Microservices

DZone

Recent AI advancements in API technology involve enhancing natural language processing capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration across diverse sectors like healthcare, finance, and e-commerce to create more intelligent, adaptable, and tailored API solutions.