article thumbnail

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is FinOps?

article thumbnail

To understand the risks posed by AI, follow the money

O'Reilly

Even Einstein was not immune, claiming, “There is not the slightest indication that nuclear energy will ever be obtainable,” just ten years before Enrico Fermi completed construction of the first fission reactor in Chicago. Shortly thereafter, the consensus switched to fears of an imminent nuclear holocaust. But it is far from alone.

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

What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130
article thumbnail

Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

article thumbnail

Eye of the Beholder

O'Reilly

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. If you have any doubts about the virtually inexhaustible power of our biases, please read Thinking, Fast and Slow by Nobel laureate Daniel Kahneman. That’s because AI algorithms are trained on data.