Artificial Intelligence Healthcare Metrics Speed 
Dynatrace
FEBRUARY 28, 2024
Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. It’s one of our biggest modernization efforts, and it’s saving us money while providing better, quicker, and faster healthcare to our veterans.”
Dynatrace
NOVEMBER 22, 2021
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. Not just logs, metrics and traces. 9 key DevOps metrics for success. 2021 DevOps Report.
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Dynatrace
DECEMBER 6, 2022
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. It also cultivates the talent and creativity necessary to keep innovating on a regular basis.
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. The deviating metric is response time. A huge advantage of this approach is speed. This is now the starting node in the tree.
O'Reilly
OCTOBER 18, 2022
Leading scientific publications assert that algorithms used in healthcare in the U.S. In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems.
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