Remove Data Processing Remove Measurement Remove Testing
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US Air Force seeks generative AI test pilots

CIO Business Intelligence

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119
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CrowdStrike incident has CIOs rethinking their cloud strategies

CIO Business Intelligence

All patches should first be tested on a test server,” Jain said further emphasizing that despite CrowdStrike’s reputation, the incident revealed a failure of trust due to untested patches causing a cascading effect. Enhanced due diligence, rigorous testing of updates, and phased rollouts are now critical.

Strategy 143
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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 304
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

The process helps businesses and decision-makers measure the success of their strategies toward achieving company goals. How does Company A measure the success of each individual effort so that it can isolate strengths and weaknesses? Key performance indicators enable businesses to measure their own ability to set and achieve goals.

KPI 221
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Eight Top DataOps Trends for 2022

DataKitchen

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245
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3 steps to eliminate shadow AI

CIO Business Intelligence

These same decision-makers identify a host of challenges in implementing generative AI, so chances are that a significant portion of use is “unsanctioned.” If the code isn’t appropriately tested and validated, the software in which it’s embedded may be unstable or error-prone, presenting long-term maintenance issues and costs.