Manufacturing & Industrial Attendee - Guide 2021 - re:Invent
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Manufacturing &
Industrial Attendee
Guide 2021
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Welcome!
On behalf of the AWS for Industrial Team, welcome to
re:Invent 2021! This year’s conference is packed with
content for the manufacturing, energy, mining, agriculture,
transportation and utilities industries. From accelerating
engineering design and optimizing operations, to
reinventing supply chains, learn how AWS helps leading
industrial companies transform their business with the
most comprehensive set of cloud services and solutions, an
extensive partner network, and the highest standards for
privacy and data security.
You can start planning at any time by registering for the
event, logging in to your account, visiting the session
catalog, and marking sessions of interest.
We look forward to seeing you in person, November 29–
December 3 in Las Vegas!
Sanat Joshi
WW Business Development Head
Automotive and Manufacturing Industries
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Breakout Sessions
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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PNU306 AUT201 AUT304
Centrica: Balancing the grid AWS for autonomous driving Developing a platform for
with innovative technology with Aurora Innovation software-defined vehicles
AWS provides an edge-to-cloud-based integrated Join this session to learn how Continental is
A carbon-neutral world demands a new approach development environment that is both open and
to energy. Learn about Centrica’s drive to reach net accelerating the speed of innovation in automotive
agile to host hyperscale-natured autonomous tool software with AWS. With the Continental
zero by 2045, their use of distributed energy chains for autonomous vehicle (AV) development
resources (DERs) to meet these objectives, and how Automotive Edge Platform enabled by AWS IoT
needs. Aurora Innovation will explain how they Greengrass, Continental offers OEMs a unified
Centrica is using AWS technology with their differentiated their offering with AWS
energy-optimization software to build the future engineering platform to develop, integrate, and
infrastructure to run millions of driving simulations deploy software seamlessly from the cloud to the
energy grid. per day, and more. vehicle.
Mary Wilson (AWS), Alexandra Coleman (Centrica) Stefano Marzani (AWS), Tim Kelton Haydn Peterswald (AWS), Martin Stamm (Continental)
(Aurora Innovation)
CPG202
Improving product experience
and manufacturing
How can consumer packaged goods (CPG)
companies use data, analytics, and progressive
technology to build brand loyalty? Tyson Foods
discusses automating traditional human inspection
with AWS Panorama.
David Ahuja (AWS), Jeremy Gerard (Tyson Foods),
Justin Honaman (AWS)
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IOT201 IOT205 IOT206
Predicting equipment Driving industrial digital Scaling sustainability
health with IoT in transformation with AWS solutions with IoT
power and utilities IoT SiteWise Organizations are building IoT solutions to support
a wide range of sustainability initiatives. Learn how
The power and utility industry is undergoing the AWS IoT SiteWise is a managed service that companies are deploying secure IoT solutions on
most significant transformation to its operating simplifies collecting, organizing, and analyzing AWS that integrate machine learning to enable a
and business models since the modern utility industrial equipment data. Learn how to build IoT more sustainable future. Enlighted (a Siemens
structure was developed in the early 20th century. solutions using AWS IoT SiteWise, AWS AI/ML company) will talk about how they build
Learn how AWS provides secure, scalable, and cost- services, and AWS Partner solutions to drive sustainable IoT solutions with AWS.
effective solutions that support the current industrial digital transformation and improve key
infrastructure and the grid model of the future. business processes.
Madhuri Susarla (AWS) Sanjay Chopra (AWS), Thomas Cummins (Bill and Mark Relph (AWS), Sandy Coleman (Enlighted
Melinda Gates Foundation) [Siemens])
IOT207-L
Closing the loop: Innovating
with IoT on AWS
By using IoT technology as a gateway to big data
analytics, image analytics, application modernization,
and AI/ML, companies are powering numerous
innovations. Learn how AWS is helping its customers
send data to the cloud and send actionable insights
back to the device to effectively close the loop and
deliver business value.
Michael MacKenzie (AWS), Cherie Wong (AWS),
Mike Tzamaloukas (AWS), David Gitlin (Carrier)
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CMP209 COP218-L DAT213-L
Harnessing the power of edge Cloud operations: Securely Modernize your data
computing to innovate manage and govern anywhere infrastructure at warp speed
Learn how AWS customers are using near real-time Learn how the AWS operations model can help you Organizations are reinventing their businesses with
access to AWS infrastructure via AWS Wavelength build securely and successfully in the cloud— data, and the first step is data infrastructure
and AWS Local Zones to launch new applications in whether in on-premises, cloud, edge, or hybrid modernization. Learn how HBO Max picked the
fields ranging from real-time gaming, video environments. Learn how organizations have right database for each unique data requirement
streaming, and augmented and virtual reality to successfully used the cloud operations model to for modernization, and how eHealth’s migration
autonomous vehicles, robotic manufacturing and speed up innovation. from Oracle Database to Amazon Aurora was the
assembly, and machine learning inference at the key to their data center exit journey.
edge.
George Elissaios (AWS) Bill Vass (AWS), Nandini Ramani (AWS), Jeff Carter (AWS), Arturo Hinojosa (AWS),
Jahmy J. Hindman (John Deere) Rob Ford (HBO Max), John Chau (eHealth)
DOP321-S ENT208 ENT215
Intentional and empathetic Inside Johnson & Johnson’s Transforming agriculture at
observability cloud transformation John Deere with SAP on AWS
Modernizing enterprise resource planning (ERP) Get an inside look at Deere’s smart industrial
Does it feel like your team is always hunting for the systems is a key pillar in Johnson & Johnson’s transformation, including use of the AWS IoT Core
right dashboard during an incident? Learn what continued cloud transformation. Learn about their platform and ongoing migration of SAP ECC to
goes into great dashboards and how minimal migration journey, using infrastructure as code to AWS. Discover key successes and lessons learned
investment can drive improvements for operations, increase SAP operational efficiency, and future across people, insights, and technology as Deere
security, and recovery time. This presentation is plans to extend the ERP core to AWS services for leads the shift to smarter, safer, more sustainable,
brought to you by Datadog, an AWS Partner. advanced use cases such as voice-enabled and efficient farming.
manufacturing and fraud detection.
Jeff Nickoloff (Datadog) Rowena Yeo (Johnson & Johnson), Siva Ganesh (AWS), Bidwan Baruah (John Deere)
Dan Sheeran (AWS)
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EUC305-S QTC303 ROB201
Engineering for social impact The path to a fault-tolerant Optimizing robotics and
through the power of HPC quantum computer autonomous systems with
Learn about a path for building a fault-tolerant AWS and Amazon
Intel and AWS are collaborating on a new high
performance computing (HPC) program to support quantum computer. This session provides an
As interest and use for autonomous robots surges,
users who are aiming to find solutions to the overview of the AWS Center for Quantum
emerging technology is driving increased efficiency,
world’s most urgent social and environmental Computing’s advancements and explains quantum
reliability, and safety of robotics and automated
challenges. Gain insight into the computing error correction and efficient hardware
systems. Learn how Amazon uses the latest AWS
initiative in this presentation, brought to you by implementations, both critical requirements for
technology for developing AI-enabled robots at
Intel, an AWS Partner. making quantum computing possible at scale.
scale and uses generative design to optimize
robotics before deploying to production.
Rebecca Weekly (Intel) Nadia Carlsten (AWS), Oskar Painter (AWS) Eric Anderson (AWS), Christine Osik (AWS)
ROB302 STP204
How cloud-based simulation Engineering for IPO with
is advancing robotics space scalable architectures
exploration When the time comes for your startup to go public,
Learn how to use AWS RoboMaker to automate you need an infrastructure that’s ready to function
running horizontally scalable, physics-based effectively and to accommodate an influx of users,
simulations to test a wide-array of scenarios, such data, and demand. Embrace must-learn lessons for
as autonomous navigation, in challenging terrains. any startup on how to establish architecture and
AWS customer Lunar Outpost joins to discuss governance for scale and to prepare the
building their cloud-enhanced lunar rover to help engineering landscape for IPO or acquisition.
ensure its survival on the moon.
Jeremy Wallace (AWS), Justin Cyrus (Lunar Outpost) Cullen Dejean (AWS), Vinay Wagh (Databricks)
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MFG202 MFG203
Industry 4.0 transformation AWS innovation
with AWS for industrial within Amazon
AWS helps accelerate engineering design, optimize Take a virtual tour of an Amazon Fulfillment Center
industrial operations, and reinvent supply chains. to see how miles of conveyors, advanced
Discover how AWS helps leading industrial automation, robotics, artificial intelligence, and
companies transform their businesses. AWS AWS come together to get Amazon Prime
customer, Koch Ag & Energy Services (KAES), customers their packages in as fast as one day, and
discusses how they reduced downtime and see how to use that same AWS technology to
maintenance costs with anomaly detection and transform your operations.
AWS services like Amazon Monitron and Amazon
Lookout for Equipment.
Michel Putnik (AWS), Dave Kroenig (KAES), Douglas Bellin (AWS), Cedric Ross
Martin Miller (KAES) (Amazon Fulfillment)
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Interactive Sessions
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Industrial OT security best Industrial IoT basics: A practical guide to building an
practices at Amazon Connecting a PLC to the cloud industrial data lake on AWS
Dive deep into AWS OT security best practices for Learn how to build an industrial asset monitoring An industrial data lake is foundational to help
building an industrial hybrid cloud environment. solution by connecting a programmable logic manage and store structured and unstructured
Smart factory technologies are rapidly evolving controller (PLC) to AWS using an OPC-UA data, enabling industrial organizations to unlock
and allowing industrial companies to deliver connector with AWS IoT Greengrass. Model and operational insights. This chalk talk walks through
solutions that drive business outcomes and address visualize the PLC data on AWS IoT SiteWise and the steps to building an industrial data lake on
the cybersecurity risks over the life cycle of the AWS IoT SiteWise Monitor and discover ways to use AWS with a sample reference architecture from an
solution. the data. existing AWS industrial customer.
Steve Blackwell (AWS), Shane Thoney (Amazon Emilia Brzozowska (AWS), Piyush Batwal (AWS), Michael Brown (AWS), Andrea Kirkland (Terex)
Fulfillment) Michael Brown (AWS), Emad Mankbadi (AWS), Jan
Metzner (AWS), Rajesh Gomatam (AWS)
MFG302 MFG303 MFG304
Modernizing MES in Industrial condition monitoring Building Arm’s cloud-native
the cloud and automated quality inspection engineering platform
Traditional manufacturing execution systems Bring your laptop to this hands-on workshop to get Learn how Arm, a global semiconductor IP
(MESs) are historically based on rigid, legacy direct experience applying AI/ML to industrial company, is taking a cloud-native approach to
technology-based systems or even more operations use cases. Learn how to use a sample satisfy their engineering requirements and realize
challenging on-paper-based inputs. This chalk talk product quality image dataset to build and train an the full value of the cloud. Discussion on the design
dives deep into best practices for migrating and ML model and use a sample compressor dataset to objective, challenges (like workload migration and
building a hybrid, cloud-hosted microservice-based monitor the condition of equipment and build a governance), workarounds, lessons learned, and
MES application. predictive maintenance program. future plans beyond the current deployment.
Jan Metzner (AWS) Steve Blackwell (AWS), Jan Metzner (AWS) Ludvig Nordstrom (AWS), Allan Carter (AWS),
Zhifeng Yun (Arm)
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PNU301 PNU303 PNU304
Electric load forecasting on AWS Real-time wind farm health: AWS Quick Start: Meter reads to
AWS IoT and Greenko case study insights in ML minutes
Load forecasting plays a key role across a utility, Greenko, one of the leading renewable energy In this hands-on workshop, learn how AWS Quick
from supply chain and market participation to grid companies in India, shares the architecture created Start Utility Meter Data Analytics on AWS deploys a
planning and customer engagement. The accuracy using AWS IoT services to stream near-real-time best-practice architecture and prepackaged
of these forecasts is of critical importance, so learn turbine data to the cloud, hydrating an IoT data processing pipeline to prepare meter data and train
how to enable highly accurate and easy-to- lake and powering live dashboards for real-time ML models for forecasting and anomaly detection
implement customer-level and feeder-level load situational awareness. and see how easily the platform can be adapted to
forecasting. your business needs.
Abhineet Parchure (AWS), Pedram Jahangiri (AWS) Avneet Singh (AWS) Sascha Janssen (AWS)
PNU305
How volt-VAR optimization on
AWS can cut utility emissions
Learn how volt-VAR optimization (VVO) on AWS
can help utilities lower their carbon footprint today
and meet business goals. VVO is extremely
effective, as illustrated by Ameren Illinois’s report
to the Illinois Commerce Commission, which
targets a VVO solution to deliver 422 gigawatt-
hours of annual energy savings by 2025.
Abhineet Parchure (AWS)
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AUT301 AUT302 AUT303
Toyota Racing uses deep learning Serverless architectures Intelligent vehicle fleet data
to predict race outcomes for autonomous fleets collection using CMS
Deep dive into the architecture and machine Learn how Torc built a real-time vehicle telemetry Connected Mobility Solution (CMS) on AWS is an
learning techniques that Toyota Racing dashboard to monitor its autonomous trucking test efficient and scalable way to collect telemetry data
Development (TRD) uses to identify up-and-coming fleet using Amazon Location Service for real-time from fleet vehicles. Learn to connect streaming
stock car racers and predict race outcomes. fleet tracking and geofencing. Hear Torc’s future analytics using AWS IoT Core, AWS Lambda, and
Amazon Redshift, Amazon SageMaker, and Apache plans for AWS IoT Greengrass v2 at the edge along Amazon Kinesis Data Analytics; and connect a fleet
Airflow are featured in this talk for builders and with video streaming for displaying data from visualization dashboard with metrics and analytics
enthusiasts. onboard cameras. tuned for electric fleets.
Steven Miller (AWS), Derek Jones (Toyota Racing Amit Sinha (AWS) Scott Francis (AWS)
Development USA)
AUT305 AUT306 AUT307
Developing automated driving AV data lake reference Supercharge applications with
systems on AWS architecture insights from vehicle signals
Explore the nature of automated driving system Learn how to build an autonomous vehicle (AV) Learn how to access and process vehicle signals
(ADS) data using the Audi Autonomous Driving data lake and see how to design and build an end- using in-vehicle APIs provided by BlackBerry IVY.
Dataset (A2D2) from the Registry of Open Data on to-end scene detection pipeline using Spark on Share the result of your processing with
AWS. Discover how to build Robot Operating Amazon EMR. See how leaders use Webviz running applications and services in the vehicle, at scale
System (ROS)-centric data-services solutions using on Amazon ECS for deep video inspection, review and in a way that is repeatable across a community
modular AWS services and about generalizable large-scale image extraction from ROS bag files, of developers.
recursive divide-and-conquer data-parallel and label data.
processing patterns.
Ajay Vohra (AWS) Junjie Tang (AWS), Kevin Soucy (AWS) Michael Garcia (AWS), Sue Ludwig (BlackBerry),
Geordie Ferguson (BlackBerry)
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AIM313 AIM410
AIM303
Implement predictive maintenance Machine learning at the edge
Improve your operations with
for industrial equipment with Amazon SageMaker
computer vision at the edge
Walk through a full end-to-end predictive Explore building computer vision (CV) applications
AWS Panorama is a machine learning appliance and maintenance model using Amazon Lookout for at the edge for predictive maintenance, industrial
software development kit (SDK) to bring computer Equipment, an industrial equipment-monitoring IoT, and more. Learn how to operate and monitor
vision (CV) to on-premises cameras to make service that detects abnormal equipment behavior. multiple models across a fleet of devices, and build
predictions locally with high accuracy and low Learn the steps for defining a good application, and train CV models with Amazon SageMaker and
latency. Learn how you can automate tasks to structuring historical data, building a model, how to package, deploy, and manage them with
improve your operations across a variety of getting real-time results and visualizations, and SageMaker Edge Manager.
industries, such as retail, hospitality, and industrial. scaling from one model to 1,000+ models.
Brant Swidler (AWS), Alicia Trent (AWS) Sireesha Muppala (AWS), Sean Morgan (AWS)
Imran Moin (AWS), Amit Mukherjee (AWS)
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IOT307 IOT310 IOT317
Race to generate IoT- Implementing a Zero Trust Building digital twins using
connected wind energy security model with AWS IoT AWS services
Enter a friendly competition where teams race to Get hands-on experience using multiple AWS IoT In this chalk talk, learn how you can integrate data
safely generate clean wind energy. In this services to safely and securely deploy commercial from different data stores and systems, how to
workshop, you learn how to connect a virtual wind and industrial IoT devices at scale, even when you derive insights from this data using AI/ML, and how
turbine to AWS by working through the different can’t physically control the devices. Work through you can run simulations on different scenarios.
needs of an engineer, operations person, and data a scenario where you are in charge of deploying
analyst. devices outside your corporate perimeter with an
architecture that leverages Zero Trust principles to
help ensure the security of your devices and data.
Bruno Vitali (AWS) Ryan Dsouza (AWS) Raj Devnath (AWS), Shyam Kariat (AWS)
IOT401
Instrumenting Industry
4.0 with AWS IoT services
AWS IoT services are designed to simplify the
alignment of operational technology (OT) and
information technology (IT) to modernize industrial
processes. Learn how AWS IoT SiteWise is
accelerating adoption of cloud-native industrial
solutions, and watch OT and IT experts team up
with AWS instructors to deliver an edge solution.
Julia Hu (AWS), Seibou Gounteni (AWS)
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DAT327 GPS203
ANT207
Smart CraneBot Build a serverless, event-driven Building spatial computing
architecture with AWS services experiences on AWS
Learn how to automate industrial robotic cranes to Many manufacturing, retail, gaming, and financial Augmented, virtual, and extended realities,
perform various common tasks at a manufacturing services organizations need critical real-time data collectively known as spatial computing, have
facility, like moving items, picking goods, and aggregation. Learn about an architectural pattern functional uses beyond gaming. Get a better
lifting objects. The robotic crane is powered by for a serverless data-aggregation pipeline on the understanding of how these recombinant
Raspberry Pi and connected via AWS IoT services, AWS Cloud with fully managed services, including technologies are changing industries and how your
with Amazon SageMaker and AWS IoT SiteWise. Amazon DynamoDB, AWS Lambda, Amazon team can build a spatial computing experience on
Kinesis, and AWS CloudFormation. AWS, complete with a 3D asset pipeline and
delivery to edge devices.
Lucas Rettenmeier (AWS), Sean Shriver (AWS)
Dimitri Restaino (AWS), Ninad Shringarpure (AWS), Chris Burns (AWS), Roajer Gilbert (AWS)
Juan Lamadrid (AWS)
GPS313 ROB202 ROB301
Building a manufacturing data Building cloud-connected Patterns for building cloud-
and analytics platform on AWS robots enabled robots
Learn how to build a cloud-connected dancing AWS Robotics provides a specialized set of tools
AWS Partners will learn how to establish a single
robot using the NVIDIA JetBot development kit and solutions that makes it easier and faster for
repository of real-time and historical industrial
running Robot Operating System (ROS), and design robotics developers to build and operate cloud-
data to enable innovation and automated
dance routines in the cloud with AWS RoboMaker enhanced autonomous robots. Learn how to
workflows through AWS for industrial solutions for
Simulation. Bring your dancing shoes for the manage and deploy software at the edge, build an
advanced analytics, machine learning, and artificial
workshop finale featuring a dance party with your MLOps pipeline, and ingest and stream live video
intelligence.
fellow participants and robots! for robot surveillance and interaction.
Kimate Richards (AWS), Massimiliano Angelino (AWS) Pulkit Kapur (AWS), Jon Slominski (AWS)
Nishant Sainni (AWS), Adam Frowein (AWS)
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ROB303 ROB304 ROB401
How to optimize multi-robot Using AWS RoboMaker to run Closing in on sim2real: How
fleet performance your robotics simulations synthetic data can improve
Review architectures that enable interoperability of Using AWS RoboMaker for robotics simulation can robot performance
different types of robots. Learn best practices for greatly reduce the time and expense of developing, Improve your robot performance and learn how to
optimizing a robotics fleet with AWS robotics, IoT, testing, and training a new robot. Learn how to generate and use realistic 3D synthetic images to
and ML services. build and run simulations at scale on AWS train a computer vision model for a robot. Review
RoboMaker using the simulator of your choice, with how to set up an MLOps pipeline using synthetic
guidance on how to run and automate a variety of data and discuss solutions for simulated-to-real
simulation tests. (sim2real) transfer.
Ibi Horvath (AWS), Ray Zhu (AWS) Vamshi Konduri (AWS), Matt Hansen (AWS) Bhavana Chandrashekhar (AWS), Vamshi Konduri
(AWS)
SEC302-S
ROB402
Securing your company’s
Building AI-enabled robots for
next big bang
pick-and-place operations
Learn how Resilience, a biotech manufacturing
As companies scale autonomous operations, company experiencing big bang levels of growth,
robotic arms must be able to operate in highly used security principles, DevSecOps, and
dynamic environments. Get hands-on experience technology to explosively grow their business while
building, testing, and training AI-enabled robotic staying safe. This presentation is brought to you by
arms. Also, learn how to test and train ML models Datadog, an AWS Partner.
in simulation and then deploy software to robotic
arms.
Adi Singh (AWS) Andrew Krug (Datadog), Nathan Case (Datadog)
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© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Keynotes
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Adam Selipsky Keynote
Adam Selipsky is the CEO of Amazon Web Services (AWS),
the world’s most comprehensive and broadly adopted cloud
platform. Having previously led AWS Marketing, Sales, and
Support for 11 years, from 2005–2016, Selipsky helped launch
and grow AWS from a startup into a multi-billion dollar
business. Prior to rejoining AWS in 2021, Selipsky was most
recently President and CEO of Tableau Software. He led
Tableau through its acquisition by Salesforce, in what was the
third-largest software industry acquisition at the time. Selipsky
has also held various leadership roles at RealNetworks, and
before that, was a Principal at strategy consulting firm Mercer
Management Consulting. He has an AB in government from
Harvard University and an MBA from Harvard Business School.
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Dr. Werner Vogels Keynote Peter DeSantis Keynote Machine Learning Keynote Global Partner Summit Keynote
Dr. Werner Vogels is Chief Technology Peter DeSantis is the Senior Vice President Swami Sivasubramanian is Vice President at Join us for the Global Partner Summit keynote,
Officer at Amazon.com, where he is of AWS Global Infrastructure and Customer AWS in charge of all Amazon AI and presented by Doug Yeum, Head of AWS Partner
responsible for driving the company’s Support. In this role, he leads the AWS machine learning services. His team’s Organization, Sandy Carter, Vice President,
customer-centric technology vision. As teams responsible for designing the data mission is “to put machine learning Worldwide Public Sector Partners and
one of the forces behind Amazon’s centers, servers, and network that underpin capabilities in the hands of every developer Programs, and Stephen Orban, General
approach to cloud computing, he is our AWS services and for deploying and and data scientist.” Swami and the AWS AI Manager of AWS Marketplace and Control
passionate about helping young operating this infrastructure worldwide as and ML organization work on all aspects of Services. You’ll learn about cloud-powered
businesses reach global scale and well as for the customer-facing machine learning, from ML frameworks innovation and the opportunity it creates for
transforming enterprises into fast- organizations providing support for our (TensorFlow, Apache MXNet, and PyTorch) AWS Partners, as well as how AWS Partners use
moving digital organizations. Vogels AWS products. and infrastructure, to Amazon SageMaker the AWS Cloud to build innovative solutions and
joined Amazon in 2004 from Cornell (an end-to-end service for building, services, differentiate their businesses, and
University, where he was a distributed Live stream sponsored by: training, and deploying ML models in the enable customers in virtually every industry to
systems researcher. cloud and at the edge), and finally AI transform their businesses.
services that make it easier for app
developers to incorporate ML into their Live stream sponsored by:
apps with no ML experience required.
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Leadership sessions
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Leadership sessions*
All Builders Welcome AWS Executive Panel
LaDavia Drane Francessca Vasquez
Director, Inclusion, Diversity & Equity Vice President, Technology
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Leadership sessions*
AWS Marketplace AWS Public Sector AWS Public Sector Partners AWS Storage AI/ML
Stephen Orban Max Peterson Sandy Carter Mai-Lan Tomsen-Bukovec Bratin Saha
General Manager, AWS Marketplace Vice President, Worldwide Public Sector Vice President, Worldwide Public Sector Vice President, Worldwide Public Sector Vice President, Machine Learning
Partners and Programs Partners and Programs
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Leadership sessions*
Analytics Architecture Business Applications Cloud Operations Compute
Rahul Pathak Brian Taptich Peter Hill Bill Vass David Brown
Vice President, Analytics Vice President, AWS Worldwide Vice President, Business Applications Vice President, Engineering – Storage, Vice President, Amazon EC2
Specialist Organization Automation, Streaming & Management
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Leadership sessions*
Containers Databases Developer Edge Enterprise and Migration
Deepak Singh Jeff Carter Ken Exner Bill Vass Todd Weatherby
Vice President, Compute Services Vice President, Relational Databases Director, AWS Developer Tools Vice President, Engineering – Storage, Vice President, Professional Services
Automation, Streaming & Management
Live stream sponsored by:
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Leadership sessions*
IoT Networking & Content Delivery Security, Compliance, and Identity Serverless Training & Certification
Michael MacKenzie David Brown Stephen Schmidt David Richardson Maureen Lonergan
General Manager, AWS IoT Vice President, Amazon EC2 Vice President and Chief Information Vice President, Serverless Director of AWS Training and Certification
Security Officer
Live stream sponsored by:
*Sessions are subject to change © 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Learn
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Choose the learning methods that work for you
Breakout sessions Workshops Chalk talks Builders’ sessions
Available from intermediate (200) Workshops are two-hour hands-on sessions Chalk talks are a highly interactive These are 60-minute small group sessions
through expert levels (400), so you can where you work in teams to solve problems content format with a small audience. with up to six attendees per table, and one
grow your skills, no matter where you using AWS services. Workshops organize Each begins with a short lecture (10–15 AWS expert, who is there to answer
are in your career. Select from any track, attendees into small groups and provide minutes) delivered by an AWS expert, questions and provide guidance. It’s just you,
level, or available session type to tailor scenarios to encourage interaction, giving followed by a 45- or 50-minute Q&A your laptop, and the AWS expert.
your re:Invent experience. you the opportunity to learn from and teach session with the audience.
each other.
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Choose the learning methods that work for you
Training and Certification AWS DeepRacer Jams and GameDays Expo
Learn directly from AWS experts and get Developers of all skill levels can compete in Test your skills in implementing AWS Learn from AWS experts and partners. The
practical experience with real-world cloud virtual races during re:Invent for a chance to solutions by solving real-world problems Expo at The Venetian will be host to AWS
scenarios. Skill up fast with a bootcamp, win prizes and glory! Tune in to AWS in a gamified, risk-free environment. Take Village, AWS Partner Network, AWS
show your expertise by earning an AWS DeepRacer TV throughout re:Invent to catch part in collaborative and interactive Marketplace, Builders’ Fair, Developer
Certification, and practice your craft with the championship action. learning exercises—and win prizes! Lounge, a demo theater, Jam Lounge,
one of our labs. Startup Central, and sponsor booths.
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Play
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Play
Midnight Madness Quirky re:Play party Restaurant receptions
Once again this year, we will be hosting Experience Amazon’s unique culture at one For our 10th annual re:Play party, we Join the conversation at our vibrant
an AWS-style pep rally to kick off the (or more!) of our Quirky events. Whether it’s have an amazing lineup, featuring all the restaurant receptions. Meet people from
week and welcome our most dedicated board games, bingo, or a sneak peek of one classic re:Play activities like dodgeball and across the tech world and connect on topics
fans. Midnight Madness provides a sneak of your favorite Amazon TV shows, we’ve office chair grand prix, and we have a very of interest to you at a range of wonderful
peek into re:Invent, complete with the got something for everyone. special musical headliner. Stay tuned for venues.
first product launch of re:Invent 2021. more information!
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Reserved seating
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Navigate to the
session catalog
After logging in to the event portal, click on
the side nav and click “Sessions”.
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Using catalog filters
When viewing the session catalog, there is a set of
filters available on the left sidebar of the sessions
catalog that shows a variety of filters you can use
while browsing. Filters include: price, day of the
week, difficulty level, session type, topic, AWS
service, and industry.
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Using catalog search
At the top of the session catalog, there is a
search bar where you can enter freeform text
to search the full catalog. The search box
searches through all of the displayed text
fields of a session, including session ID, title,
abstract, and level.
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Favoriting and
un-favoriting a session
When viewing the session catalog, any session
shown in the results has a star icon on it.
Clicking that star will mark it as a favorite. To
un-favorite it, simply click the star again.
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Reserving a session
For events with reserved seating, when a session
has available seats, the button on the session card
will say “Reserve seat”.
For sessions with a price greater than zero, the
button will say “Buy for ”. Clicking
purchase will open up the purchase form where
you can complete your transaction. Once the
transaction is complete, that session will show on
your reservations list.
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Waitlisting a session
When a session has no seats available,
because the capacity has already been met,
then the button will say “Join waitlist”. If you
join a waitlist for a session, and a seat
becomes available in that session, you may
automatically be placed in that session and
we will notify you via email.
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Viewing your favorites,
reservations, and
waitlisted sessions
Along the top of the catalog page, there are 3 tabs: 1)
All sessions, 2) My favorites, and 3) My reservations.
Clicking on “My favorites” will show you a list of only
sessions you have favorited. Clicking on “My
reservations” will show you a list of items you have
reserved or waitlisted.
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Cancelling a reservation
or waitlist
When viewing a session, in any tab, if you have
reserved or waitlisted, you can cancel that
action by simply clicking the button again. It
will show a dropdown that says “Cancel
reservation” or ”Leave waitlist”.
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Viewing your calendar
In the main navbar on the left of the
session catalog, you will see a link that
says “My calendar”.
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Viewing your calendar
If you navigate to the calendar, you will see all of
your favorites, reserved seats, and waitlisted seats
on the corresponding days that those sessions are
scheduled.
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rights reserved. © 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Make a plan
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Building your agenda
SESSIONS 50%
PRO TIP:
Breakout sessions should make up the
Breakout sessions are lecture-
bulk of your plan. You can find
style and one hour long. Sessions
customers directly speaking about their
are delivered by AWS experts,
real-world experiences of using AWS
customers, and partners, and products and services in sessions!
they typically include 10–15
minutes at the end for Q&A.
25% CHALK TALKS
Chalk talks are one hour long and
contain expert-level content presented
by AWS experts. The goal is to foster a
technical discussion around real-world
architecture challenges
WORKSHOPS 15%
Workshops organize attendees into
small groups and provide scenarios
to encourage interaction, giving you
the opportunity to learn from and
teach each other.
10% BUILDERS’ SESSIONS
These are 60-minute small group sessions
with up to six attendees per table, and one
AWS expert, who is there to answer
questions and provide guidance.
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Building your agenda
PRO TIPS:
• Make sure to watch the leadership sessions that are most relevant to your areas of interest to get the most strategic updates.
• Be sure to not miss out on all the keynotes, as that’s where you’ll catch the biggest AWS launches.
• re:Invent always tries to feature many customers directly speaking about their real-world experiences of using AWS products
and services. You’ll find them in many breakout sessions, as well as keynotes.
• Think about topics that are currently mission critical to your team, and topics you’re interested in learning more about.
• Breakout sessions will be available to watch virtually, even if you are registered for in-person re:Invent.
• Make an extensive list of sessions to watch! Favorite lots of sessions so when reserved seating goes live, you have lots of options.
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Got free time on your schedule?
There are many learning opportunities across the re:Invent campus in Las Vegas that require no reservation.
Drop by the Expo, visit a content hub, or practice your craft in one of our labs.
Expo Content hubs Labs
Learn from AWS experts and partners. The Expo Breakout session repeats will take place all week Practice your craft in a live AWS sandbox
at The Venetian will be host to AWS Village, AWS in all re:Invent venues, along with overflow environment. Try any of our 100+ self-paced
Partner Network, AWS Marketplace, Builders’ sessions in our content hubs (centralized labs on your own, or reserve time with an AWS
Fair, Developer Lounge, a demo theater, Jam overflow rooms in every venue). We will also expert who can coach and guide you. Whether
Lounge, Startup Central, and sponsor booths. stream live content to the content hubs as the you’re just starting out or honing your technical
Come by and see all that the Expo has to offer! sessions fill up. skills, learn by doing with labs.
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Your re:Invent checklist
q Register for re:Invent / Book your hotel / Book your travel reservations / Upload your badge photo
q If attending in person, review the health measures in place for this year’s re:Invent
q Visit the re:Invent website to stay up to date on announcements
q Add all five keynotes to your agenda
Pro Tip: This is where you’ll catch the biggest AWS launches
q Add your favorite leadership sessions to your agenda
q Get ready for reserved seating: favorite the learning sessions of interest to you
q Familiarize yourself with sponsors in the Expo, along with the Expo map
q If you’re attending with a team, connect with your colleagues to plan how to conquer the many hours of content
Pro Tip: Don’t forget to find time to reconvene with your team and debrief on everyone’s learnings
q Check out the Play activities and add them to your agenda
q Watch all the How to re:Invent videos to prepare for the week
q Follow Amazon Web Services on Instagram, Facebook, LinkedIn, and Twitter
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Useful resources
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Useful resources
How to re:Invent Health measures FAQs
Everything you need to know about how to The health and safety of our customers, Get all the info you need on topics
re:Invent. Insider tips, planning advice, and partners, and employees remains our such as health and safety,
interviews with re:Invent experts. Stay tuned top priority. Review our updated COVID-19 registration, accessibility, and
for more episodes on the road to re:Invent! vaccination requirements for attending much more.
re:Invent in Las Vegas.
How to re:Invent Health measures FAQs
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.Thank you!
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