article thumbnail

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. Combining causal AI and generative AI will eventually give rise to the next phase of GPT-powered innovation.

article thumbnail

Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Taking training sessions online this year lets us provide more instructor-led sessions over more days and times than ever before.

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

Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

These are some of the questions that Willie Hicks, Dynatrace’s Federal CTO, and I unpacked with Patrick Johnson, director of the Workforce Innovation Directorate in the Department of Defense’s (DoD) Office of the CIO. Can embracing AI really make life easier? There is a lot of concern about AI taking jobs away from humans.

article thumbnail

Generative AI poised to have impact by automating software development, report says

Dynatrace

Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. Continuous integration (CI) is a software development practice that streamlines the process of creating software within an organization.

Software 168
article thumbnail

Responsible AI must-haves for unified observability and security

Dynatrace

It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI systems, and their data, can be biased, either intentionally or unintentionally, reflecting the biases of their creators or the data on which they are trained. AI system bias. Trusted data.

article thumbnail

Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. The idea was inspired by an innovation day project of our lab in Klagenfurt. There are many use cases for using this API. Python 3.7.3.

article thumbnail

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 204