Dynatrace
JANUARY 21, 2021
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. So where do you start?
Dynatrace
JANUARY 4, 2024
Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. That’s where causal AI can help.
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The Netflix TechBlog
MAY 21, 2019
Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Likewise it has very low requirements on the initial amount of training data.
Tasktop
DECEMBER 12, 2022
To start, the leaders decided to use Flow Time to benchmark the team’s performance. The new team structure also allowed for cross-training, such that the different functional groups began working as a cohesive team. This is a measure of work in progress (WIP) in the value stream. Now, business analysts could manage simple code changes.
Speed Curve
FEBRUARY 10, 2020
What are some good sites I can use for benchmarking? Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media. Identify sites you can use for your own competitive benchmarking. How fast should I be?
Dynatrace
SEPTEMBER 21, 2023
Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e).
Scalegrid
JANUARY 12, 2024
With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.
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