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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Those hours spent troubleshooting can be spent innovating,” Smith continued. That’s why teams need a modern observability approach with artificial intelligence at its core.

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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 267
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Achieving business resilience with modern observability, AI, and automation

Dynatrace

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

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IT automation central to navigating cloud complexity and data explosion

Dynatrace

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 177
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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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IT automation central to navigating cloud complexity and data explosion

Dynatrace

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147