Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Healthcare. Software development. 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

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. 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.

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

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. Not just logs, metrics and traces. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. What is observability?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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. When software intelligence underpins processes, they enable operational efficiency, reduced cost, and product innovation.

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. The deviating metric is response time. CloudOps: Applying AIOps to multicloud operations. This is now the starting node in the tree.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

O'Reilly

FEBRUARY 20, 2024

And even with error rates as low as 1%, we’re easily talking about thousands of errors sprinkled randomly through software, press releases, hiring decisions, catalog entries—everything AI touches. Employers are also responsible for healthcare, at least in the US. This is hardly ideal, but it’s not likely to change in the near future.

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