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Bring light to the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Users can manage models through dynamic dashboards that track compliance status across defined policies and regulations. Ready to explore more?

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What is a DataOps Engineer?

DataKitchen

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Read out Free E-book: The DataOps Cookbook.

Testing 152
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Web Analytics 2.0 Book: In Stores Now!!

Occam's Razor

I am absolutely thrilled that my book Web Analytics 2.0 The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. Request for help.

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Knowledge

Occam's Razor

Book Articles. The "Action Dashboard" (An Alternative To Crappy Dashboards). Five Rules for High Impact Web Analytics Dashboards. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Book Articles. Book: In Stores Now!! Web Analytics Books!

KPI 124
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Web Analytics: An Hour A Day

Occam's Razor

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Adapted from the book Effective Data Science Infrastructure. This approach is not novel. Foundational Infrastructure Layers.

IT 351
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Suck Less | A Plea For User-Centric Design: Powered By You!

Occam's Razor

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. They are all things I love and have repeatedly asked you to care for. and get stuff fixed. Testing Kills/Delays Good Ideas. It is very expensive.

Testing 86