Remove Analytics Remove Efficiency Remove Healthcare Remove Strategy
article thumbnail

Four observability trends IT leaders should have on the radar in 2023

Dynatrace

Just as the world began to emerge from the immediate effects of an unprecedented global healthcare crisis, it faced yet another emergency. Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. Observability trend no.

article thumbnail

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

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. AIOps tools can help you streamline operations.

AWS 233
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

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. Like all AI applications, whether in manufacturing, healthcare, finance, or other industries, AIOps is not about reducing the human factor’s importance.

DevOps 202
article thumbnail

Oops…We Did It Again: Tasktop Named a Leader by GigaOm in Value Stream Management

Tasktop

The real-time value stream analytics provide immediate and quantifiable improvements to the process of delivering software from end-to-end to continuously meet business outcomes sooner and better. These sessions help you to use Flow Metrics to improve your value stream efficiency and cost of deployment to maximize business ROI.

article thumbnail

What Is Hyperautomation?

O'Reilly

We’ll see it in healthcare. Data integration and regulatory compliance are particularly tough in healthcare and medicine, but don’t kid yourself: if you’re working with data, you will face integration problems, and if you’re working with personal data, you need to think about compliance. We’ll see it in customer service.

Games 114
article thumbnail

Generative AI in the Enterprise

O'Reilly

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. It’s time to start learning about generative AI, thinking about how it can improve your company’s business, and planning a strategy. from the healthcare industry, and 3.7% from education.