Remove Consulting Remove Experimentation Remove Metrics
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs). The skillset and the background of people building the applications were realigned: People who were at home with data and experimentation got involved! How do we do so?

Testing 168
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Mobile content consumption, behavior along key metrics (time, bounces etc.) And again, a custom set of metrics.

Metrics 143
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The DataOps Vendor Landscape, 2021

DataKitchen

A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

Testing 300
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AI Product Management After Deployment

O'Reilly on Data

Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics. But in practice, it is common for model I/O validation steps to be added later, when scaling an AI product.

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Part of it fueled by some Consultants. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. You are never smart enough not to have a Practitioner Consultant on your side (constantly help you kick it up a notch). Part of it fueled by Vendors. Likely not.

Analytics 119
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Knowledge

Occam's Razor

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Consultants, Analysts: Present Impactful Analysis, Insightful Reports.

KPI 125
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Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

Consulting. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools. 5: 80% of your external consulting spend is focused super-hard analysis problems. #4: An Analysis Ninjas' work does.