Remove 2019 Remove Measurement Remove Testing
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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 300
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US Air Force seeks generative AI test pilots

CIO Business Intelligence

Guardians are enlisted members of the US Space Force, a service created under the DAF umbrella in 2019. 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.

Testing 120
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250
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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Because ML models can react in very surprising ways to data they’ve never seen before, it’s safest to test all of your ML models with sensitivity analysis. [9] Residual analysis.

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What you need to know about product management for AI

O'Reilly on Data

This has serious implications for software testing, versioning, deployment, and other core development processes. Measurement, tracking, and logging is less of a priority in enterprise software. At measurement-obsessed companies, every part of their product experience is quantified and adjusted to optimize user experience.

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

Coupling a kaleidoscopic array of inspirational visual designs throughout the ages with stunning modern-day examples of visualization in action, author Manuel Lima connects the enduring concept of the human relationship with visuals and its application to data in a way that is exciting, engaging, and practical in equal measure.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.