article thumbnail

Causal AI use cases for modern observability that can transform any business

Dynatrace

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.

article thumbnail

Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

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.”

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

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 228
article thumbnail

What is digital transformation? How to transform your business strategy

Dynatrace

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 194
article thumbnail

Applying real-world AIOps use cases to your operations

Dynatrace

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.

DevOps 195
article thumbnail

Corporate Responsibility in the Age of AI

O'Reilly

In very real terms, living is more expensive if you’re poor: long commutes with less reliable transportation, poor access to healthcare, more expensive food, and even higher rents (slum apartments aren’t cheap) make it very difficult to escape poverty. Employers are also responsible for healthcare, at least in the US.

article thumbnail

What We Learned Auditing Sophisticated AI for Bias

O'Reilly

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.