The Morning Paper Issue 7 - Experimentation, Optimisation and Learning

| by Adrian Colyer Follow 5 Followers on Feb 05, 2018 NOTICE: - Applied AI conference for Developers Apr 9-11, 2018, San Francisco. Join us!

About the Author

Adrian Colyer is Venture Partner at Accel Partners, London Author of 'The Morning Paper'. He previously held CTO roles at SpringSource, VMware, and Pivotal.


I’m sure you’ve come across the term “Cloud Native” to describe an approach to IT which assumes and embraces the characteristics of cloud platforms. While cloud-native has been stealing all the attention recently, there’s another shift that’s just as important: the move towards becoming a “Data Native” organisation.  

For this edition of The Morning Paper Quarterly Review I’ve chosen a set of papers that illustrate what the data natives are up to: how they embed experimentation, optimisation, and learning into everything they do. If you thought continual delivery was the end game, for data natives this is just the necessary pre-requisite.

You’ll learn some of the hard-won lessons from running thousands of experiments a year across Bing, MSN, Skype, Office, and Xbox, as well as from firms like Amazon, LinkedIn, and Microsoft.  If you are involved in product design, particularly on web-based applications, there is a tremendous amount of value in this issue.

Free download

Please choose

To receive this eMag please answer the following questions:

Would you also like to receive...

Implementing the Right Experimentation Solution
To build and deliver products that customers love, product teams at leading enterprises such as Uber, Netflix and Airbnb are focusing on experimentation as a critical business process. This white paper explores the key questions product teams must ask before choosing to build or buy an experimentation platform, the most common requirements that enterprise teams have for experimentation, and how to avoid key mistakes.
Sponsored by Optimizely
Yes, please bundle this white paper with the book.
Note: By checking the box you grant InfoQ permission to share your contact info with this sponsor.

The Morning Paper Issue 7 - Experimentation, Optimisation and Learning include:

  • A dirty dozen: twelve common metric interpretation pitfalls in online controlled experiments
  • Seven rules of thumb for website experimenters
  • The evolution of continuous experimentation in software product development
  • Google Vizier: A service for black-box optimization
  • TFX: A TensorFlow-based production scale machine learning platform is facilitating the spread of knowledge and innovation in enterprise software development. InfoQ content is currently published in English, Chinese, Japanese and Brazilian Portuguese. With a readership base of over 1,400,000 unique visitors per month reading content from 100 locally-based editors across the globe, we continue to build localized communities.

Login to InfoQ to interact with what matters most to you.

Recover your password...


Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.


More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.


Stay up-to-date

Set up your notifications and don't miss out on content that matters to you