NextRoll

Almost a year since the original release, we are happy to announce the next major release of TrailDB, 0.6, which is packed with exciting new features.

We’re open sourcing trck – a state machine-based query language for TrailDB

We explore ideas from Thompson sampling, Bayesian Logistic Regression, and Bayesian Factorization Machines. These techniques allow our machine learning systems to efficiently navigate the explore/exploit tradeoff in sequential decision making.

By leveraging a cool new feature in the Linux kernel, you can query data stored in Amazon S3 directly and get results faster.

This blog post is the first in a series that chronicles the style guide’s journey, from its creation, to providing a mature UI framework for our teams, and eventually distilling a unique voice and tone for our products.

As we craft our next-generation product philosophy, AdRoll often leverages learnings from peers we admire. In this post, we explore a product framework inspired by Netflix. This framework includes five lessons: innovate incrementally, understand your customers, reallocate resources asymmetrically, respond fast to hiccups, and recognize that your product superpower is your people.

When it comes to increasing diversity in tech, AdRoll doesn’t have all the answers, but people are investing in potential solutions and having open conversations.

Today, we are open-sourcing TrailDB, a core library powering AdRoll. TrailDB makes it fast and fun to handle event data.

How AdRoll achieves peak performance thanks to our flexible RTB testing framework.

The AdRoll Data Science Engineering team is proud to announce the New AdRoll Data Analysis (NADA) platform that is fast, comprehensive, and operates at scale.