ADVERTISING & MARKETING INDUSTRY ATTENDEE GUIDE 2019 · Let’s get started. This guide is designed to help attendees of AWS re:Invent 2019 plan their experience and identify breakout

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ADVERTISING & MARKETING INDUSTRY ATTENDEE GUIDE2019

© 2019 | Amazon Web Services. All rights reserved.

Hello,

On behalf of the AWS Advertising & Marketing Industry team, welcome to re:Invent 2019! This year’s conference is going to be our biggest yet, with 60,000+ attendees, more than 2,500 technical sessions and a dedicated track for the advertising & marketing industry.

To get the most out of re:Invent, we encourage you to take advantage of the resources outlined in this document, including our “How to re:Invent” video series. Keep in mind that reserved seating goes live on October 15. You can start planning your schedule at any time by logging into your account, visiting the session catalog, and marking sessions of interest. The full schedule including dates, times, and locations on October 1.

Although re:Invent is a big conference, the strength of the Advertising & Marketing community makes it feel much smaller.

We look forward to seeing you in Vegas!

Dmitri TchikatilovHead of Worldwide Business Development, Advertising & Marketing Industry

Welcome!


Introduction

https://reinvent.awsevents.com/howto/?trk=direct,direct

https://reinvent.awsevents.com/learn/session_catalog/


Let’s get started.This guide is designed to help attendees of AWS re:Invent 2019 plan their experience and identify breakout sessions and events of interest. It is intended to complement the re:Invent app, which will help attendees navigate the conference on-site.

Click on the links in presentation mode to navigate this guide.

Make a Plan »

Overview »

Related Sessions »

Keynotes »

Useful info »

Play »

Contact us »

Advertising & Marketing Sessions »

Introduction



Overview

M A K E A P L A N K E Y N O T E S P L A Y U S E F U LI N F O C O N T A C T U SO V E R V I E W


R E L A T E D S E S S I O N S

A D V E R T I S I N G & M A R K E T I N G

S E S S I O N S

WhatAWS re:Invent is a learning conference hosted by Amazon Web Services (AWS) for the global cloud computing community. The event features keynote announcements, training, and certification opportunities. At the conference, you’ll have access to more than nearly 3000 technical sessions, a partner expo, after-hours events, and so much more.

WhenDecember 2 – 6, 2019 . Onsite registration desk opens on Sunday, December 1, at 9AM.

WhereWe are taking over Las Vegas--with events at the ARIA, Bellagio, MGM Grand, Mirage, and The Venetian.

Who60,000+ attendees from around the world and from a diverse range of industries.

HowRegister here, book your travel and hotel here, check out our justification letter (if you need one), and watch the How to re:Invent videos here.

About re:Invent

https://www.portal.reinvent.awsevents.com/portal/newreg.ww?trk=direct,direct

https://reinvent.awsevents.com/info/flights_hotels/

https://reinvent.awsevents.com/info/justification_letter/

https://reinvent.awsevents.com/howto/?trk=direct,direct

M A K E A P L A N K E Y N O T E S P L A Y U S E F U LI N F O C O N T A C T U SO V E R V I E W




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What’s new in 2019?

Deeper technical content and more hands-on learning opportunities.

For the first time, attendees will be able to reserve seats using both the re:Invent registration app and the re:Invent mobile app.

A bigger and better Partner Expo, with over 2,500 breakout sessions.

More unique events: broomball, the Tatonka Challenge, fitness activities, and the re:Play party!

Online resources

FAQ

GETTING AROUND

OVERVIEW OF RE:INVENT CONTENT

SESSION CATALOG

SCHEDULE

RESERVED SEATING & MOBILE APP

BOOKING MEETING SPACE

HOMEPAGE

https://reinvent.awsevents.com/info/bookable_meeting_space/

https://reinvent.awsevents.com/

https://www.portal.reinvent.awsevents.com/connect/search.ww?trk=null

https://reinvent.awsevents.com/info/faq/?trk=null

https://reinvent.awsevents.com/schedule/?trk=direct,direct

https://reinvent.awsevents.com/around/?trk=direct,direct

https://pages.awscloud.com/How-To-reInvent-Episode-6_1000-AWS.html?&trk=el_a131L000005OZXpQAO&trkCampaign=October_1000-AWS&sc_channel=el&sc_campaign=pac_2018_exlinks_OTT_reinvent_serieshp&sc_outcome=Product_Adoption_Campaigns&sc_geo=NAMER&sc_country=mult

https://reinvent.awsevents.com/learn/?trk=null

https://reinvent.awsevents.com/info/faq/?trk=null

https://reinvent.awsevents.com/campus/

https://reinvent.awsevents.com/learn/?trk=null


https://reinvent.awsevents.com/agenda/?trk=null

https://pages.awscloud.com/How-To-reInvent-Episode-6_1000-AWS.html?&trk=el_a131L000005OZXpQAO&trkCampaign=October_1000-AWS&sc_channel=el&sc_campaign=pac_2018_exlinks_OTT_reinvent_serieshp&sc_outcome=Product_Adoption_Campaigns&sc_geo=NAMER&sc_country=mult

https://reinvent.awsevents.com/info/bookable-meeting-space/?trk=null

https://reinvent.awsevents.com/info/bookable-meeting-space/?trk=null


Make a Plan

M A K E A P L A NO V E R V I E W


K E Y N O T E S P L A Y U S E F U LI N F O C O N T A C T U SR E L A T E D

S E S S I O N S


S E S S I O N S

We are pleased to announce over 2,500 sessionsat re:Invent, as well as 7 breakout sessions focused on the Advertising & Marketing Industry. We have highlighted them in the following sections and have provided a guide to finding any session of interest in the event catalog and adding it to your schedule.

Visit the event catalog and make sure you are logged in.

Scroll down the left-hand navigation bar, find Topic or Industry, and check any topics or industries of interest.

Favorite appealing sessions as “I’m interested in this” or click on the arrow at right to pursue different scheduling options.

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Design your own experience How to use the session catalog

2.

3.





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Step OneStep one, search topics you are interested in and start favoriting sessions you think you might be interested in attending.

Step TwoRemember to ensure you have roughly 80% of your favorites be breakout sessions!

Step ThreeGet crazy! Once you have your core topics explored and sessions favorited, explore by other topics! You never know what you might discover!

Explore the session catalogHierarchy Of A Plan




S E S S I O N S


S E S S I O N S

Sessionsre:Invent breakout sessions are lecture style and 60 minutes long. These sessions will take place throughout the re:Invent campus and cover all topics at all levels (200–400). Sessions are delivered by AWS experts, customers, and partners, and they typically include 10–15 minutes at the end for Q&A.

WorkshopWorkshops are two-hour, hands-on sessions where you work in teams to solve problems using AWS. Workshops organize attendees into small groups and provide scenarios to encourage interaction, giving you the opportunity to learn from and teach each other. Each workshop starts with a 10–15-minute lecture by the main speaker, and the rest of the time is spent working as a group. Come prepared with your laptop and willingness to learn! AWS will provide credits.

Builders SessionBuilders Sessions are 60-minute small groups sessions with up to five customers and one AWS expert, who is there to help, answer questions, and provide guidance. You will use your laptop to experiment and build with the AWS expert after a short demonstration. There is reserved seating for builders sessions.

Chalk TalksChalk talks are a highly interactive content format with a smaller audience. They begin with a 10–15-minute lecture delivered by an AWS expert, followed by a 45–50-minute Q&A session with the audience. The goal is to foster a technical discussion around real-world architecture challenges. Chalk talks are one hour and are presented by AWS experts. They have expert level content.

Know your sessions typesTypes of Breakout Sessions




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S E S S I O N S

ADM - Advertising and Marketing ENT - Enterprise OIG - Oil & Gas

AIM - Artificial Intelligence & Machine Learning EUC - End User Computing & Business Apps OPN - Open Source

ALX - Alexa FSI - Financial Services PNU - Power & UtilitiesANT - Analytics GAM - Games/Game Tech RET - RetailAPI - Application Integration GPS - Global Partner Summit ROB - Robotics

ARC - Architecture HLC - Healthcare SEC - Security, Compliance, and Identity

ARV - AR/VR IOT - IoT STG - StorageAUT - Automotive LFS - Life Sciences STP - StartupBLC - Blockchain MDS - Media Solutions SVS - ServerlessCMP - Compute MFG - Manufacturing TLC - Telecommunications

CMY - AWS Community MGT - Management Tools & Governance TRH - Travel & Hospitality

CON - Containers MKT - Marketplace WIN - Windows & .NetDAT - Databases MOB - Mobile WPS - Public SectorDOP - DevOps NET - Networking WPT - We Power Tech

PRO TIP: Think about topics that are currently mission critical to your team and topics you’re interesting in learning more about.

Pick your topicsThe Hierarchy Of Making A Plan




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PRO TIP: Breakout sessions should make up the bulk of your plan. They have the most seats too!

PRO TIP: Chalk Talks and Workshops are smaller and can accommodate fewer people per sessions. Builders Sessions are the smallest. These are the your bonus sessions!

BUILDERS SESSION

WORKSHOPS

CHALK TALKS

SESSIONS

Know your sessions typesThe Hierarchy Of Making A Plan




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Hacks & JamsML SummitDeepRacerPaid BootcampsCertification ExamsSpotlight LabsHands on Labs*Builders Fair*Demo Theaters*

More ways to learnHierarchy Of A Plan

*these activities do not require reserved seating




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Monday Tuesday Wednesday Thursday Friday

10:00AM –6:00PM • ARIA, Bellagio, Mirage, MGM, Venetian

Breakout Sessions 11:30AM –6:00PM • ARIA, Bellagio, Mirage, MGM, Venetian



Breakout Sessions 8:00AM –12:30PM • Mirage, Venetian

Late Night Sessions, Workshops, Chalk Talks 7:00PM –9:00PM • ARIA & Venetian



PRO TIP: The maximum number of 60 minute sessions you could attend across the week is 24!

Know your timingHierarchy Of A Plan




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PRO TIP: Plan at least an hour to get from one venue to another across campus. This includes walking, waiting

PRO TIP: New this year, the session scheduler will not let you book back to back sessions in different venues with only 30 minutes

Know the campusHierarchy Of A Plan




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Re:Invent is an industry event and there’s lots to do outside of breakout sessions. Don’t forget to leave room on your calendar for:

• Meetings with your account team and other AWS experts.

• Daily debriefs with your team. Divide and conquer but don’t forget to find time to reconvene your team and debrief on the daily learnings. Breakfast is a great time for this!

• Time to explore our partner expo, including the AWS Village and hundreds of AWS partners there

to help you learn more about how their solution can benefit your business.

• Meetings with your professional network. Let people know you’ll be at re:Invent through LinkedIn and ensure you’re taking advantage of the entire cloud computing industry being in the same city!

• Fun! Don’t forget there are a lot of fun things to do at re:Invent. Check out the Play page to learn more and expect your evenings to fill up on site!

Everything ElseHierarchy Of A Plan




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If the max number of sessions you can attend in the week is 24 and you think you want to attend 14, you should have a robust list of preferred sessions, and wish list sessions and all of your back ups.

You should have a lot of pre-selected back ups during the time windows you are trying to fill. That will enable you to quickly pivot should the session you wanted to get into fills up. By favoriting them, you can check back post-re:Invent for the slides if you don’t get to see it live.

Check for repeats! Repeats are a critical component to how we build our session catalog each year and we strive to offer repeats on our most popular sessions. If you have a session you are really committed to attending, make sure you favorite all of the scheduled repeats so that you can mix and match to get in.

Now Build Your Dream Schedule(s)


Advertising & Marketing IndustrySession Recommendations



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S E S S I O N SM A K E A P L A NO V E R V I E W

Advertising & Marketing Leadership Session

FEATURING

Nielsen, The Trade Desk, Segment, AWSIn this session meant for executive leaders, you get to see the AWS vision for how companies stand out in the crowded, massively scaled advertising and marketing ecosystem. Industry leaders share stories about how they used AWS to enable breakthroughs in areas such as customer data platforms, identity resolution, audience targeting, programmatic advertising, personalization, and measurement. Then we turn to the future and share our playbook for artificial intelligence and real-time solutions for transforming big data into marketing outcomes.

LINK TO SESSION | BREAKOUT SESSION

FEATURED SPEAKERS:

Srini Varadarajan - Chief Technology Officer, Nielsen | Zak Stengel - SVP Engineering, The Trade Desk | Scott N Brown - GM of TV and Audio, Nielsen | Calvin French-Owen, Co-Founder, Segment

https://www.portal.reinvent.awsevents.com/connect/sessionDetail.ww?SESSION_ID=95723&csrftkn=XI6Z-DNN3-RIPA-4DZ4-KDFQ-LG4C-7181-ORV6



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Analytics, Identity Graphs & the CDPFOCUS ONAmazon Neptune & Big Data

Most companies in Advertising & Marketing run some kind of big data workload. But are they taking advantage of the latest cloud technology? In this session, learn how AWS customers can optimize data collection, analytics, and identity resolution using containers, serverless computing, and graph databases. Customers share detailed technical best practices for big data and advertising analytics at massive scale and low cost. Then we dive deep into an example of how to improve identity matching and audience targeting using Amazon Neptune and other AWS tools.


FEATURED SPEAKERS: Eric Whitney, Global CTO, AnnalectChris Hansen, CTO, IgnitionOneSasi Singamaneni, Engineering Manager, IgnitionOne

Machine Learning for Digital AdvertisingFOCUS ONTensorFlow, Spark and Amazon SageMaker

Learn how AWS customers are developing production-ready machine learning models to optimize auction dynamics and bid pricing—all within the millisecond latency requirements of programmatic ad buying. Forget “hello world” ML tutorials; instead we dive deep into an example of how to train models for terabyte-scale advertising data cost-effectively. Find out how to create environments for machine learning engineers so they can prototype and explore with TensorFlow before executing it in distributed systems using Spark and Amazon SageMaker.


FEATURED SPEAKERS:Janko Kovačević - Machine Learning Engineer, SmaatoFrançois Guerraz - Systems Architect, Smaato





S E S S I O N S



How to Build an Identity Graph

FOCUS ONBest practices for identity resolution with Amazon Neptune

Learn how to build a cloud-centric, graph-based identity resolution system that connects customer data across devices, channels, and touchpoints and helps enable better media buying and personalization. Learn about best practices and the mistakes to avoid for identity resolution data collection, processing, and preparation. We deep dive into architectural details for achieving high availability and low latency at scale using AWS services such as Amazon EMR, Amazon Neptune, Amazon EC2, and Amazon S3. We also discuss recommendations for using Neptune as a fully managed graph database service for identity resolution.

LINK TO SESSION | CHALK TALK

FEATURED SPEAKERS:Taylor Riggan, Solutions Architect, AWSNitin Poddar, Software Engineer, IgnitionOne

Personalization for Marketing TechnologyFOCUS ONImplementing Amazon Personalize across marketing channels

Amazon Personalize makes it easy to train machine learning models based on the behavioral data of your customers. However, putting these models into practice across marketing channels to deliver high-quality customer experiences still requires some lifting on your end. In this chalk talk, we discuss the best practices and strategies for implementing Amazon Personalize—including what we’ve seen work and what we’ve seen doesn’t—to create personalized customer experiences across multiple digital channels, including web, mobile, and messaging.

LINK TO SESSION | CHALK TALK

FEATURED SPEAKERS:James Jory, Sr. Partner Solutions Architect, AWS

https://www.portal.reinvent.awsevents.com/connect/sessionDetail.ww?SESSION_ID=97880




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Testing Techniques for Measuring PersonalizationFOCUS ONAmazon Personalize

In this hands-on lab, you sit down with an AWS solutions architect to learn how to integrate techniques such as A/B, multi-armed bandit, and interleaved recommendation testing to measure effectiveness of machine learning for personalization. You’ll come away knowing how to build an end-to-end solution for deploying recommendation models using Amazon Personalize that integrates with measurement techniques that can be applied to customer experience in e-commerce or other marketing channels.

LINK TO SESSION | BUILDERS SESSION

FEATURED SPEAKERS:James Jory, Sr. Partner Solutions Architect, AWS

Analyzing Amazon DSP data in an AWS Data LakeFOCUS ONS3, AWS Glue, Athena, QuickSight

Advertisers and agencies working with Amazon DSP are interested in analyzing available data points to understand segment and campaign performance. In this one-hour lab meant for companies working with Amazon DSP today, we show how to set up an AWS data lake based on reporting files from Amazon DSP in Amazon Simple Storage Service (Amazon S3) in order to analyze and visualize the data. We show you how to use AWS Glue Data Catalog to crawl and create a data source, use Amazon Athena for extraction, and display the data in Amazon QuickSight.

LINK TO SESSION | BUILDERS SESSION

FEATURED SPEAKERS: David Beck, Programmatic Consultant, Amazon Advertising





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Advertising & Marketing Track Overview

ADM201-LAdvertising & Marketing Industry Leadership Session

ADM203Reimagining advertising analytics & identity resolution at scale

ADM302End-to-end machine learning using Spark and Amazon SageMaker

ADM301Best practices for identity resolution with Amazon Neptune

ADM303Implementing Amazon Personalize across marketing channels

ADM402Testing techniques for measuring personalization

ADM401 Analyzing Amazon DSP data in an AWS data lake

Breakout Sessions

Chalk Talks & Builders Sessions









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Other recommended sessionsAdvertising & Marketing Industry

LOW LATENCY & EDGE COMPUTING »

MACHINE LEARNING & AMAZON SAGEMAKER »

MACHINE LEARNING & PERSONALIZATION »

CONTAINERS & KUBERNETES »

ANALYTICS & DATA LAKES »

COST-OPTIMIZATION FOR LOW-LATENCY & SCALE »

MARKETING TECHNOLOGY, ECOMMERCE, & MESSAGING »




S E S S I O N S



Analytics & Data Lakes

ANT201 Building workflows on AWS Lake Formation & AWS Glue

ANT206-L Leadership session: Trends with data lakes and analytics

ARC301-R Architecture patterns: Serverless stream processing at scale

ANT218 Data lakes and data integration with AWS Lake Formation

ANT202 Turbocharge your Spark performance with Amazon EMR

ANT315 Advanced stream processing best practices with Amazon Kinesis

ANT226 Lower costs on Amazon EMR: AWS Auto Scaling and Spot pricing

ANT308 Deep dive into running Apache Spark on Amazon EMR

STG203 What's new with Amazon S3 and Amazon S3 Glacier

STG359 Best practices for implementing a data lake on Amazon S3

ANT335-R How to build your data analytics stack at scale with Amazon Redshift

ANT224-R Using containers with Amazon EMR and Apache Spark
















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Containers & Kubernetes

CON213-L Leadership session: Containers

ANT224-R Using containers with Amazon EMR and Apache Spark

CON212-R Running Kubernetes at Amazon scale using Amazon EKS

ARC408-R Kubernetes at the edge

NET403-R Deep dive: Container networking at scale on Amazon EKS & Amazon EC2

CON412-R Performance-tuning tips and tricks for Apache Spark on Kubernetes

GPSTEC417-R Build a custom container with Amazon SageMaker

AIM326 Implement ML workflows with Kubernetes and Amazon SageMaker

AIM338 Machine learning with containers and Amazon SageMaker

AIM414 Containerizing deep learning workflows

CMP318-R Kubernetes on Spot Instances: Optimize for scale and cost

CMP416-R Scale Kubernetes for less using Spot Instances
















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Cost-Optimization for Scaled, Low-Latency Workloads


ANT308 Deep dive into running Apache Spark on Amazon EMR

CMP202-R1 Better, faster, cheaper compute: Cost-optimizing Amazon EC2

CMP318-R Kubernetes on Spot Instances: Optimize for scale and cost

CMP328-R Batch processing at scale for AV simulations and advertising

CMP304-R Amazon ML infrastructure: Cost & performance optimizations

ARC219-R AWS Cost Management tools for cost & usage optimization


ANT202-R Turbocharge your Spark performance with Amazon EMR

AIM306-R How to build high-performance machine learning solutions at low cost

CMP416-R Scale Kubernetes for less using Spot Instances

CMP403-R Running enterprise test/dev on Amazon EC2 Spot Instances
















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Low-latency & EdgeWorkloads

AIM416 Deploy an ML model on the cloud and at the edge

AIM422 Machine learning at the edge with Amazon SageMaker Neo

MDS401-R Achieve ultra-low latency for live video streaming

NET403-R Deep dive: Container networking at scale on Amazon EKS & Amazon EC2

ARC302-R1 Patterns for hosting ML models in low latency micro-services

ARC408-R Kubernetes at the edge

ARC346-R AWS ML at the edge: Building production-intended solutions

CMP302-R AWS Outposts: Extend the AWS experience to on-premises environments

CMP330-R Networking best practices for AWS Outposts

CMP337-R AWS Outposts: Build for low latency and local data processing

AIM416 Deploy an ML model on the cloud and at the edge


ARC346-R AWS ML at the edge: Building production-intended solutions

















S E S S I O N S



Machine Learning& Personalization

AIM323 Real-time personalization and recommendation using AI

AIM424 Accelerate experimentation with personalization models

AIM304 Build a content-recommendation engine with Amazon Personalize

AIM424 Accelerate experimentation with personalization models

MDS303-REvolution of personalization/recommendation for video workflows

RET310 Create higher-quality recommendations in your e-commerce platform

AIM417 Amazon SageMaker RL for recommender systems

TRH202 Personalizing customer experiences in Travel and Hospitality

AIM346-R Personalized user engagement with machine learning

AIM349 Build a hotel recommender with Amazon Personalize—no ML skills needed














S E S S I O N S



Machine Learning& Amazon SageMaker

AIM307 Amazon SageMaker deep dive: A modular solution for machine learning

AIM350 Identifying product mentions in customer reviews using ML

AIM341 Deep Learning on Graphs

ARC302-R Patterns for hosting ML models in low latency micro-services

AIM306-R How to build high-performance machine learning solutions at low cost

AIM410-R Deep learning applications using TensorFlow


AIM404 Amazon SageMaker RL: Solving business problems with RL and bandits

AIM326 Implement ML workflows with Kubernetes and Amazon SageMaker

AIM338 Machine learning with containers and Amazon SageMaker

AIM414 Containerizing deep learning workflows

AIM330 Build custom data labeling workflows with Amazon SageMaker

AIM348 Deploying and managing machine learning models at scale

AIM358 Prepare data for ML using Amazon SageMaker


















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Marketing Technology & Automation

ENT315 Improve message deliverability to ensure customer reach

EUC201 Multichannel customer engagement using Amazon Pinpoint

DAT205 How Verizon Media implemented push notification using Amazon DynamoDB

EUC336 Surprise and delight customers with location-based notifications

EUC206 Amazon Pinpoint: Where we’ve been and where we’re going

EUC322 Improve customer engagement by predicting user behavior

EUC207 Build high-volume email applications with Amazon SES

AIM350-R Identifying product mentions in customer reviews using ML

API301-R Securing data in serverless applications and messaging services

EUC328 Engage with your customers using SMS text messages

SVS340-R1 Building scalable ecommerce workflows with Step Functions

EUC309-R Build your own omnichannel e-commerce experience














P L A Y U S E F U LI N F O C O N T A C T U SM A K E A P L A NO V E R V I E W


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R E L A T E D S E S S I O N S K E Y N O T E S

OverviewKeynotes

Andy Jassy, CEO, AWS

Tuesday, December 38:00am – 11:00am

The Venetian, Level 2

Dr. Werner Vogels, CTO, Amazon

Thursday, December 58:30am – 10:30am


Global Partner Summit with Doug Yeum

Wednesday, December 48:30am – 10:30am


Monday Night Live with Peter DeSantis

Monday, December 27:30pm – 9:00pm



U S E F U LI N F O C O N T A C T U SM A K E A P L A N K E Y N O T E SR E L A T E D

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S E S S I O N SO V E R V I E W P L A Y

MIDNIGHT MADNESS TATONKASCAVENGER HUNTAIR BANDAND MORE!

Sunday, December 110:30PM – Midnight | Venetian

RE:PLAYThursday, December 58:00PM – Midnight | MGM Festival Lot

RESTAURANT RECEPTIONSTuesday, December 36:000PM – 8:00PM | ARIA • Mirage • Venetian

QUIRKY ACTIVITIESMOVIE NIGHTCHOIR!CHOIR!CHOIRSIP AND PAINTAND MORE!

Wednesday, December 46:00PM – 9:00PM | Venetian • ARIA

4K/8K RUNWednesday, December 46:30AM | Mirage

OverviewPlay


M A K E A P L A N K E Y N O T E SR E L A T E D S E S S I O N S


S E S S I O N SO V E R V I E W C O N T A C T U SP L A Y U S E F U L

I N F O

WorksheetYour re:Invent Checklist

o Registered for re:Invent

o Booked my hotel

o Booked travel reservations

o Uploaded my badge photo

o Connected with account team

o Favorited sessions

o Reserved seats to Advertising & Marketing sessions

o Reserved seats to other sessions I want

o Reviewed list of open boot camps

o Reviewed the Expo & Quad maps

o Downloaded the mobile app

o Familiar with the shuttle & walking routes

oWatched all How-to-re:Invent videos on YouTube

oMarked my calendar with critical dates

o Familiarize myself with sponsors in the Expo & Quad

o Check out the quirky programs (Bingo Night,

Choir!Choir!Choir!, Sip and Paint, Tatonka Challenge,

4k/8k Run, Ping Pong, etc.)

o Read the Know-Before-You-Go info

o Attended Know-Before-You-Go webinar

https://reinvent.awsevents.com/play/


M A K E A P L A N K E Y N O T E S P L A Y U S E F U LI N F O



S E S S I O N SC O N T A C T U SO V E R V I E W

AWS Advertising & Marketing Industry LeadersWant to Connect With an Expert?

If you’d like to arrange a meeting with AWS subject matter experts, please reach out to your account teams to coordinate. You can click on the photos to access team member LinkedIn profiles.

Dmitri TchikatilovHead of Worldwide Business Development, Advertising & Marketing Industry

Clark FredricksenHead of Worldwide Marketing, Advertising & Marketing Industry

Rajesh WunnavaHead of Solutions Business Development, Advertising & Marketing Industry

James JorySr Partner Solutions Architect,Digital Customer Experience Partner Competency

Orit AlulSolutions Architect

https://www.linkedin.com/in/dmitrich/

https://www.linkedin.com/in/clarkfredricksen/

https://www.linkedin.com/in/rwunnava/

https://www.linkedin.com/in/jamesjory/

https://www.linkedin.com/in/oritalul/


See you in Vegas!

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ADVERTISING & MARKETING INDUSTRY ATTENDEE GUIDE 2019 · Let’s get started. This guide is designed to help attendees of AWS re:Invent 2019 plan their experience and identify breakout