Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Healthcare. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

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.”

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

DECEMBER 6, 2022

This process reinvents existing processes, operations, customer services, and organizational culture. 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.

Strategy 191

Strategy Artificial Intelligence Innovation Healthcare 191

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

O'Reilly

FEBRUARY 20, 2024

This process is often called “critical thinking,” but it goes a lot deeper: it requires scrutinizing every fact and every logical inference, even the most self-evident and obvious. Employers are also responsible for healthcare, at least in the US. We don’t have the right metrics; stock price, either short- or long-term, isn’t right.

Education 72

Education Healthcare Media Systems 72

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.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116