Marketing Analytics and Data Science 2019 - San Francisco, CA - April 10th, 2019

Creating a data team as well as a platform on which to build solutions to deliver to your business is a challenge. Even when you successfully complete this first part, and now you have all the data and machine learning at your fingertips, deploying those solutions into a legacy marketing team presents a host of other challenges. Join us to hear lessons learned in how to effectively integrate technology, build teams and deliver insights

SimplyData - Santa Monica, CA - November 29th, 2018

Title: Building a successful data organization


When building a data team from scratch or inheriting an existing team, there are plenty of questions to ask when thinking about how to successfully deliver on our mission to the company. Should data engineering be part of the data organization or does it sit better with the engineering team? Data scientist is a job title that means a lot of different things to different companies, what does it mean to us? Are we aligned around platforms or functions? What's our strategy around data governance and compliance? And that's just to name a few.

This talk will present some insights from prior experience on structuring data teams, both at startups and larger legacy organizations, covering examples that have been both successful and not so successful, and lessons learned in each case.

Big Data Innovation Summit - Las Vegas, NV - July 17, 2018

Title: Lessons learned in shifting a legacy culture towards data, testing, and personalization


Over the last couple of years, Tribune Interactive has made a major shift from being a company of analysts working with vendor tools and Excel to adopting more modern big data best practices. In this talk, we'll cover some of the learnings we've had around driving adoption of data usage and tools in teams that have not been particularly data-driven in the past, moving from a tabular to designed data view in dashboarding and data presentation, and challenges in getting stakeholders to understand what a model is and how to use it.

Big Data and AI for Media - New York City, NY - March 22, 2018

Title: Data-driven products for subscriber acquisition


Tribune Interactive uses data to inform all steps in the product development cycle, including a combination of data analytics and data science at varying levels of complexity to inform possible directions of design. Machine learning algorithms are built and integrated into existing systems leaving users in control instead of ceding the decision making to an algorithm. Alejandro will talk about how tronc is building automation into the process of product development, including subscriber acquisition on their websites.

Panelist: Data Science Applications in Media and Entertainment