Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Healthcare. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Not just logs, metrics and traces. 9 key DevOps metrics for success. Dynatrace is making the value of AI real. And how to to achieve 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. As a result, digital transformation requires modernization and change management so employees can embrace digitization.

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. This process continues until the system identifies a root cause.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

O'Reilly

FEBRUARY 20, 2024

The problem that AI introduces is the scale at which automated systems can cause harm. That’s certainly true for technical employees who will be developing applications that use AI systems through an API. One aspect of this change will be verifying that the output of an AI system is correct.

Education 72

Education Healthcare Media Systems 72

O'Reilly

OCTOBER 18, 2022

A recently passed law in New York City requires audits for bias in AI-based hiring systems. AI systems fail frequently, and bias is often to blame. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications? Data can be wrong.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116