AWS re:Invent 2020 – Advertising and Marketing Industry Guide

We have an exciting re:Invent 2020 planned for the advertising and marketing industry. For starters, re:Invent is a free, three-week virtual conference this year—and anyone in the industry can register to learn from over 500 breakout sessions, keynotes, and live content. This year’s conference also features more advertising and marketing industry sessions than any prior year, including stories from AWS customers in marketing technology, advertising technology, agency, media, and in-house marketing teams.

• First, register for re:Invent
• Check out the full 2020 Advertising and Marketing Industry re:Invent attendee guide (PDF)
• Start planning your schedule now in the session catalog.
• Prioritize advertising and marketing industry sessions by filtering with the “ADM” session ID, or by using the “advertising and marketing” industry filter.

Advertising and Marketing Industry at re:Invent 2020

In these sessions tailored for the advertising and marketing technology industry, you’ll learn directly from AWS customers and our own industry experts on how to innovate faster, operate cost-effectively, and run key advertising and marketing technology workloads at petabyte scale and millisecond latency. You’ll hear customer anecdotes, best practices, and details on industry use cases such as identity resolution, contextual analysis, machine learning, real-time bidding, and low-latency profile storage. Expect to come away with a playbook for innovation beyond the limits of on-premises infrastructure, as well as practical examples of how to improve agility and cost efficiency for workloads running at scales that would otherwise break the internet.

Advertising and Marketing breakout sessions

Learn more and bookmark each Advertising and Marketing session:

ADM201 — Contextual targeting and ad tech migration best practices, featuring Integral Ad Science
Hear how Integral Ad Science (IAS) migrated to AWS to process 100 billion events per day for its ad verification workloads—including brand safety, fraud detection, viewability measurements, and contextual advertising—supporting multiple regions and languages.

Speakers: Tony Lucia, Chief Technology Officer, and Danny Rathjens, Senior Director Technical Operations, Integral Ad Science

ADM202 — How Salesforce CDP unifies consumer data at exabyte scale
Get an inside look at how Salesforce builds on AWS to process exabytes of data, resolve known and anonymized IDs into highly accurate user profiles, and deliver audience segments across activation channels. Learn how one of the largest software companies in the world thinks about systems architecture, network topology, security, and elastic computing in order to achieve performance, cost efficiency, and reliable performance for its data platforms.

Speaker: Muralidhar Krishnaprasad (MK), Senior Vice President, Engineering, Salesforce Marketing Cloud

ADM301 — Running ultra-high throughput ad tech workloads on Aerospike, featuring The Trade Desk
See how The Trade Desk implements Aerospike on AWS to support millions of queries per second at the edge for real-time bidding and peak loads of 20 million writes per second in its cold storage of user profiles. Learn best practices for configuring Aerospike on AWS for ad tech.

Speaker: Matt Cochran, Director of Engineering, The Trade Desk

ADM302 — Distributed machine learning for digital video and TV ad serving, featuring FreeWheel, A Comcast Company
Discover how FreeWheel, a Comcast Company, uses Amazon SageMaker to predict advertising inventory for digital video and linear TV months in advance for billions of ad serving records per day.

Speaker: Lei Wu, Head of Machine Learning, FreeWheel, A Comcast Company

ADM303 — Processing 250 billion ad events a day with Amazon EKS and serverless, featuring Nielsen Marketing Cloud
Learn how Nielsen Marketing Cloud built a stateless, serverless big data pipeline processing 250 billion events per day for its data management platform.

Speakers: Opher Dubrovsky, Big Data Lead, and Yaar Reuveni, VP R&D, Nielsen Marketing Cloud

ADM304 — Building the post-cookie identity graph for marketing, featuring Cox Automotive
See a production example of how Cox Automotive combined data from millions of car shoppers across 40,000 auto dealers and brands to create an identity graph with Amazon Neptune, and learn how to bring together customer datasets, anonymized web events, ad data, purchase logs, and other data.

Speaker: Carlos Rendon, Principal Technical Architect, Cox Automotive

AWS on Air (live) sessions

Real-Time, On-Demand Predictive Audience Segmentation through Machine Learning, featuring Publicis Media
Join this AWS on Air session to learn how Publicis Media uses Amazon EMR and SparkML to build a machine learning pipeline that scores attributes and generates recommendations for audience segmentation and media planning. Learn how the company ingests petabytes of advertising data, built its Decision Sciences Framework for propensity scoring, and enables planners to query the platform.

Featured speaker: Patrick Houlihan, PhD, SVP Decisioning, Publicis Media

Dynamic, Contextually Relevant, Brand Integrations for OTT with Amazon SageMaker and Server-Side Ad Insertion—featuring TripleLift
Learn how TripleLift creates dynamic, targeted, in-media brand integrations for connected TV and OTT using Amazon SageMaker and Amazon Rekognition to identify contextually relevant moments and surface areas within video content.

Featured speakers: Sam Shapiro, Product Engineering Manager, Advanced Advertising, TripleLift; and Luis Bracamontes, Machine Learning Engineer, TripleLift

Advertising and Marketing attendee guide

Download the full Advertising and Marketing Attendee Guide to get further information on industry sessions, activities, and “how to re:Invent.”