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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ).

Marketing 362
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The most practical causal inference book I’ve read (is still a draft)

Data Science and Beyond

Now, I believe I’ve finally found a book with practical techniques that I can use on real problems: Causal Inference by Miguel Hernán and Jamie Robins. One of the things that sets Causal Inference apart from other books on the topic is the background of its authors. Hence, the book is full of practical examples.

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Do You Need a DataOps Dojo?

DataKitchen

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. For example, some teams may recognize services revenue in the quarter booked, and others may amortize the revenue over the contract period. Central DataOps process measurement function with reports.

Metrics 243
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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. There are fat books to teach you how to experiment ( or die! What does a robust experimentation program contain? It truly is the bee's knees.

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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 I started booking lots of meetings.

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Dark secrets of developer motivation

CIO Business Intelligence

Measure the right outputs. In his classic book Code Complete , Steve McConnell describes the WIMP (Why Isn’t Mark Programming) principle. It refers to the phenomenon of a coding leader (an Army colonel in the book’s example) wondering why the programmers don’t appear to be working. . Passion and space to innovate.

Software 131
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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 157