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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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What is digital transformation? How to transform your business strategy

Dynatrace

The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. Typically, organizations digitally transform because they need to innovate and become more agile.

Strategy 194
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Four observability trends IT leaders should have on the radar in 2023

Dynatrace

Just as the world began to emerge from the immediate effects of an unprecedented global healthcare crisis, it faced yet another emergency. However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS.

AWS 228
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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Therefore, DevOps staff can innovate and create new solutions to human problems, rather than simply keeping the lights on.

DevOps 196
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Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Test automation with AI: The need to embrace innovation.

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Generative AI in the Enterprise

O'Reilly

We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much. from the healthcare industry, and 3.7% from education.