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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156
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AI Product Management After Deployment

O'Reilly on Data

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.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

During periods of uncertainty, this helps us plan for – and be ready to respond to – different outcomes. Communicate the key performance indicators: Identify the key metrics that senior management will use to monitor the business on a daily, weekly, and monthly basis.

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How to Incorporate Long-Term Forecasts Into Your Tax Reporting Toolkit

Jet Global

How prepared are they, though, for the different sets of risks and opportunities associated with long-term uncertainties? It is also as of yet unclear how the latest recommendations made by the OECD will play out, especially given the current uncertainties in global trade. Preparing for uncertainty.