Data Quality Experimentation Testing 
CIO Business Intelligence
JANUARY 7, 2025
Driving a curious, collaborative, and experimental culture is important to driving change management programs, but theres evidence of a backlash as DEI initiatives have been under attack , and several large enterprises ended remote work over the past two years.
DataKitchen
APRIL 13, 2021
Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Genie — Distributed big data orchestration service by Netflix.
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CIO Business Intelligence
DECEMBER 17, 2024
While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Prioritize data quality and security. Find a change champion and get business users involved from the beginning to build, pilot, test, and evaluate models. In 2025, thats going to change.
Rocket-Powered Data Science
FEBRUARY 15, 2023
encouraging and rewarding) a culture of experimentation across the organization. Clean it, annotate it, catalog it, and bring it into the data family (connect the dots and see what happens). Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes.
O'Reilly on Data
OCTOBER 13, 2020
In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.
O'Reilly on Data
MARCH 31, 2020
The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. This has serious implications for software testing, versioning, deployment, and other core development processes.
CIO Business Intelligence
APRIL 25, 2024
Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”
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