article thumbnail

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.

article thumbnail

10 Books that Data Analyst Should Read

FineReport

Then these books, I think you must read. The author is known as “the prophet of the big data era”, this book is the first of its kind in the study of big data systems. Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. From Google. About thinking.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 361
article thumbnail

Do You Need a DataOps Dojo?

DataKitchen

For example, some teams may recognize services revenue in the quarter booked, and others may amortize the revenue over the contract period. 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
article thumbnail

AI Has an Uber Problem

O'Reilly on Data

Reid Hoffman called this pattern “ blitzscaling ,” claiming in the subtitle of his book with that name that it is “The Lightning-Fast Path to Building Massively Valuable Companies.” The risk of these deals is, again, that a few centrally chosen winners will quickly emerge, meaning there’s a shorter and less robust period of experimentation.

Marketing 152
article thumbnail

How to Set AI Goals

O'Reilly on Data

My book, AI for People and Business , introduces a framework that highlights the fact that both people and businesses can benefit from AI in unique and different ways. In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time.

article thumbnail

The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

As the dust has settled, many tech leaders have found that changes they were forced to make to their work strategies, leadership styles, and team structures have turned out to be team-transforming epiphanies that will endure going forward. I started booking lots of meetings. Employee crowdsourcing can yield breakthrough ideas.