Dynatrace
SEPTEMBER 20, 2022
From banking and retail to healthcare and government, nearly all industries have experienced a dramatic shift to mobile computing over the last decade. This includes selecting the app to be instrumented, fine-tuning cost controls, and enabling users to opt-in to Session Replay recording. Mask sensitive data.
Dynatrace
JANUARY 18, 2024
For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency. More transparency means a better understanding of the technology being used, better troubleshooting, and more opportunities to fine-tune an organization’s tools.
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Percona
AUGUST 17, 2023
Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data. From migrations, database design, and architecture … to performance assessment and tuning … to proactive monitoring and management of your databases — you’re covered.
Tasktop
JANUARY 30, 2020
This measure is tuned to the investment necessary for success in a particular value stream – and it is also the metric needed for refining investments over time. Flow Distribution in Action. Case Study 1: Tailor your Value Stream to Deliver Business Results. Case Study 2: A Simple Change Leads to a Big Win. One organization, a large U.S.
The Morning Paper
JULY 7, 2019
ML-centric software also sees frequent revisions initiated by model changes, parameter tuning, and data updates, the combination of which can have a significant impact on system performance. In large scale systems with more than a single model, each model’s results will affect one another’s training and tuning processes.
Tasktop
MAY 24, 2021
Dr. Chris Strear shared a remarkable story about applying the theory of constraints in healthcare. Citing the Navy’s “leadership factory”, he encouraged attendees to focus on tuning a system for building leaders, to give them the responsibility and ownership to hone their skills and come back “stronger” from missions.
O'Reilly
NOVEMBER 28, 2023
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. from the healthcare industry, and 3.7% (We’ll say more about this later.) from education.
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