Architecture Artificial Intelligence Healthcare 
Dynatrace
MARCH 14, 2022
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.
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
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Dynatrace
JANUARY 22, 2024
Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes.
Dynatrace
JANUARY 18, 2024
Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency.
Dynatrace
DECEMBER 15, 2022
Just as the world began to emerge from the immediate effects of an unprecedented global healthcare crisis, it faced yet another emergency. However, the growing awareness of the potential for bias in artificial intelligence will be a barrier to widespread automation in business operations, IT, development, and security.
Dynatrace
NOVEMBER 22, 2021
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.
Dynatrace
OCTOBER 17, 2022
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. Like all AI applications, whether in manufacturing, healthcare, finance, or other industries, AIOps is not about reducing the human factor’s importance.
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