Artificial Intelligence Healthcare Metrics 
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
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.”
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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.
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. As a result, digital transformation requires modernization and change management so employees can embrace digitization.
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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests.
VoltDB
OCTOBER 30, 2024
Rather than waiting for equipment to fail, preventive maintenance, via things like real-time decisioning , schedules tasks based on time intervals or usage metrics, enhancing productivity and cost-effectiveness and preventing costly downtime. This approach works well for equipment with variable usage.
O'Reilly
NOVEMBER 19, 2024
While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. People who work in regulated environments (think: public sector, finance, healthcare, etc.)
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