article thumbnail

Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer.

C++ 185
article thumbnail

RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. In this blog, Carolyn Ford recaps her discussion with Tracy Bannon about AI in the workplace.

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

A Brief Guide of xPU for AI Accelerators

ACM Sigarch

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. GPU can also be considered as a special SPU.

article thumbnail

Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes.

article thumbnail

10 tips for migrating from monolith to microservices

Dynatrace

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Likewise, refactoring and rewriting code takes a lot of time and effort.

article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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.