Dynatrace
DECEMBER 13, 2023
As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And industry watchers have begun to make their technology predictions for 2024. Data indicates these technology trends have taken hold. Technology prediction No. Technology prediction No.
Dynatrace
JANUARY 30, 2024
Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s It’s great to put new technology on the table,” said Johnson. You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Download now!
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Dynatrace
JANUARY 4, 2024
However, as AI systems become more complex and sophisticated, organizations are learning that they need to ensure the AI they use is responsible and trustworthy. It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI system bias.
Dynatrace
JANUARY 31, 2024
It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. RAG augments user prompts with relevant data retrieved from outside the LLM.
Dynatrace
JANUARY 17, 2024
An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI requires more compute and storage. AI performs frequent data transfers.
The Netflix TechBlog
NOVEMBER 13, 2023
In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.
The Morning Paper
FEBRUARY 4, 2020
POTS: Protective optimization technologies , Kulynych, Overdorf et al., Last time out we looked at fairness in the context of machine learning systems, coming to the realisation that you can’t define ‘fair’ solely from the perspective of an algorithm and the data it is trained on. arXiv 2019.
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