Remove Artificial Intelligence Remove eBook Remove Google Remove Speed
article thumbnail

Tech Transforms podcast: How federal agencies can maximize the value of “data as the new oil”

Dynatrace

But Williamson does not particularly like the term, “artificial intelligence (AI)”. Within the context of using AI in government, he prefers “augmented intelligence” to underscore the importance of an ongoing partnership between humans and machines. And friction is a speed problem.” Because rigor creates friction.

article thumbnail

Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

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. The need for speed has never been more urgent in today’s hyper-digital age. 2021 DevOps Report.

AWS 223
article thumbnail

Dynatrace Perform 2022: Themes to watch at Dynatrace’s annual conference

Dynatrace

In contrast, a modern observability platform uses artificial intelligence (AI) to gather information in real-time and automatically pinpoint root causes in context. Only observability can transform multicloud data into actionable intelligence. 5 challenges to achieving observability at scale – eBook.

article thumbnail

The top four log analytics and log management best practices

Dynatrace

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).