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Bringing an AI Product to Market

O'Reilly on Data

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Without clarity in metrics, it’s impossible to do meaningful experimentation.

Marketing 362
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Do You Need a DataOps Dojo?

DataKitchen

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Central DataOps process measurement function with reports. A COE typically has a full-time staff that focuses on delivering value for customers in an experimentation-driven, iterative, result-oriented, customer-focused way.

Metrics 243
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The early returns on gen AI for software development

CIO Business Intelligence

The maturity of any development organization can easily be measured in terms of the size and type of investment made in QA,” he says. Early results from a pilot program for gen AI development are encouraging, Tandon says, with developers reporting that gen AI streamlines code generation, debugging, and code consistency.

Software 129
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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), Measuring Incrementality: Controlled Experiments to the Rescue!

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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What is a DataOps Engineer?

DataKitchen

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. Measure success. Process measurement – construct dashboards on every aspect of the data lifecycle for unprecedented process transparency. Low error rates.

Testing 152
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The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. We are just starting to come back into the office, but in six months we’ll have a much better measure” of efficiencies gained. “I Employee crowdsourcing can yield breakthrough ideas.