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ACT01 - Tatonka Challenge Another quirky Amazon tradition continues—the fifth annual AWS re:Invent Tatonka Challenge. Here, you’ll embark on a quest of epic proportions: Eating your way to honor through mass consumption of buffalo chicken wings (or celery for our plant-loving friends). This year, we’ll host the Tatonka Challenge at Midnight Madness as we attempt to break our 2017 Guinness World Record of the largest chicken wing eating competition. Come join us, and be a part of history! Wing eating will begin at the start of Midnight Madness.   Activity
ADT201-L - Leadership Session: Digital Advertising - Customer Learning & the Road Ahead In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack. Session Karl Bunch
Dave Pickles
Alex Collmer
Patrick Wentling
ADT202 - Use Amazon Rekognition to Power Video Creative Asset Production In this session, hear from an AWS customer about how they leveraged Amazon Rekognition deep learning-based image and video analysis to power a data-driven decision system for creative asset production. Learn how this customer was able to leverage the raw data provided by Amazon Rekognition combined with performance data to discover actionable insights. See a demonstration of the solution, and hear about media- and advertising-specific use cases. Learn from the customer's experiences implementing their architecture, the challenges, and the pleasant surprises along the way. Session Karl Bunch
James Kupernik
Joline McGoldrick
ADT205 - Go Global with Cloud-Native Architecture: Deploy AdTech Services Across Four Continents Plista, a Germany-based advertising solution provider, discusses how they use a cloud-native architecture, container-first approach to speed up development, increase agility, reduce latency, localize storage, and foster innovation and ownership in their organization. They demonstrate how a cloud blueprint is used to easily roll out their services to new global markets. With this architecture, Plista processes 1.7 billion requests per day, across four continents. They also discuss how they're adapting for GDPR compliance and redesigning parts of their platform to leverage new AWS services. Chalk Talk Philipp Hoffman
Torben Brodt
ADT301 - Create a Serverless Web Event Pipeline Collecting events at web scale can be daunting, frustrating, and a distraction from building technology that adds value to your company's core offerings for your customers. In this session, learn how to design and deploy serverless pipelines for collecting events at web scale, such as advertising pixels, site visits, site interaction, and e-commerce. We work together to build a serverless collection pipeline utilizing Amazon Route 53, Amazon CloudFront, AWS Lambda@Edge, Amazon Kinesis Data Firehose, Elasticsearch, Amazon S3, AWS Glue, and Amazon Redshift. At the end of this session, you will understand ways you can deploy a serverless pipeline in your architectures. Builders Session Karl Bunch
ADT302 - Democratize Data Preparation for Analytics & Machine Learning: A Hands-On Lab Machine learning (ML) outcomes are only as good as the data they are built upon. Preparing data for ML is time consuming and cumbersome; “data wrangling” for analytics can consume over 80% of project effort. ML Wrangling Assistant, based on Trifacta running on AWS, streamlines ML applications so teams can focus on the work that matters—creating accurate predictions that improve products, services, and organizational efficiency. In this lab, we cover one of two data preparation use cases. Marketing Analytics analyzes web ads by cleaning and transforming ecommerce transactions in a relational table combined to a clickstream semi-structured log file. Cross-Sell Analytics explores, structures, standardizes, and combines multiple file types (CSV, JSON, Excel) to create a single, consistent view of customers. Final outputs are the categorical features and attributes to train, test, and validate the data sets required by Amazon SageMaker to perform ML modeling. Builders Session Madhu Raman
Jose Noriega
ADT303 - ML for Real-Time Self-Service Trend Detection & Root Cause Analysis: A Hands-On Lab Business intelligence (BI) has been a manual, static process. Analysts and engineers must anticipate the right questions, monitor the right metrics, create dashboards, apply calculations, verify and validate results, and repeat the process—which means slow, reactive insights and dangerous blind spots across business operations. In this session, get hands-on with a range of datasets across use cases like product and customer experience analytics from ecommerce, web analytics, telco, ad tech, gaming, ride sharing, and IoT manufacturing. Learn how a new class of self-learning AI/ML tools is enabling autonomous analytics with trend and root cause detection services in real time. Anodot's SaaS analytics platform offers a simple self-service model with no data science expertise required, powered by AWS, Amazon Kinesis, and Amazon Redshift. Builders Session Madhu Raman
Jose Noriega
ADT401 - Real-Time Web Analytics with Amazon Kinesis Data Analytics Knowing what users are doing on your websites in real time provides insights you can act on without waiting for delayed batch processing of clickstream data. Watching the immediate impact on user behavior after new releases, detecting and responding to anomalies, situational awareness, and evaluating trends are all benefits of real-time website analytics. In this workshop, we build a cost-optimized platform to capture web beacon traffic, analyze it for interesting metrics, and display it on a customized dashboard. We start by deploying the Web Analytics Solution Accelerator, then once the core is complete, we extend their solution to capture new and interesting metrics, process those with Amazon Kinesis Analytics, and display new graphs on their custom dashboard. Participants come away with a fully functional system for capturing, analyzing, and displaying valuable website metrics in real time. Workshop Luke Youngblood
Chris Marshall
Mark LaRosa
AFT01 - Camp re:Invent Trivia Challenge Relive your summer camp days while playing a trivia game at Camp re:Invent. This is not just any trivia game. Join us for the Camp re:Invent Trivia Challenge, and compete against AWS VP, Jeff Barr. After Hours
AFT02 - Board Game Night and Tweetup Come join us for Board Game Night and Tweetup with the Social Media team. Play games and post to social media about your experiences during the Tweetup. After Hours
AIM202-L - Leadership Session: Machine Learning Amazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. Amazon Go, Amazon Alexa, and Amazon Prime Air are also examples. In this session, learn more about the latest machine learning services from AWS, and hear from customers who are partnering with AWS for innovative AI. Session Swami Sivasubramanian
AIM203-S - Patient-Focused Data Science: Machine Learning for Complex Diseases Curious about how Amazon machine learning (ML) services can enable healthcare organizations to find the insights they need to survive and thrive? Join us to learn how Takeda researchers built and trained their own disease-specific ML models, including deep-learning models using Deloitte ConvergeHEALTH running on AWS to simulate and quantify the overall disease burden and identify potential risks. This session is brought to you by AWS partner, Deloitte Consulting LLP. Session Dan Housman
Valerie Strezsak
Jennifer Drahos
AIM204-S - Smarter Event-Driven Edge with Amazon SageMaker & Project Flogo A single device can produce thousands of events every second. In traditional implementations, all data is transmitted back to a server or gateway for scoring by a machine learning (ML) model. This data is also stored in a data repository for later use by data scientists. In this session, we explore data science techniques for dealing with time series data leveraging Amazon SageMaker. We also look at modeling applications using deterministic rules with streaming pipelines for data prep, and model inferencing using deep learning frameworks directly onto edge devices or onto AWS Lambda using Project Flogo, an open-source event-driven framework. This session is brought to you by AWS partner, TIBCO Software Inc. Session Matt Ellis
Abram Van Der Geest
AIM205 - New AI/ML Solutions with AWS DeepLens & Amazon SageMaker with ConocoPhillips ConocoPhillips is exploring the combination of machine vision and machine learning. Four proof of concepts were developed using AWS DeepLens, Amazon SageMaker, Amazon S3, and more. These projects address the security, safety, and inventory associated with upstream field operations. In this session, we describe our successes, challenges, and lessons learned. We also share our ideas for future product improvements. Chalk Talk Mahendra Bairagi
Corey Vessar
Karla Wasinger
Blake Kobel
AIM206-R1 - [REPEAT 1] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Sunil Mallya
Mike Miller
AIM206-R10 - [REPEAT 10] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Justin De Castri
AIM206-R11 - [REPEAT 11] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Justin De Castri
AIM206-R12 - [REPEAT 12] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Sunil Mallya
AIM206-R13 - [REPEAT 13] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Brian Townsend
AIM206-R14 - [REPEAT 14] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Brian Townsend
AIM206-R15 - [REPEAT 15] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Bradley Kenstler
AIM206-R16 - [REPEAT 16] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Justin De Castri
AIM206-R17 - [REPEAT 17] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Sunil Mallya
AIM206-R18 - [REPEAT 18] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Todd Escalona
AIM206-R19 - [REPEAT 19] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Brian Townsend
AIM206-R2 - [REPEAT 2] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Jason Holgerson
AIM206-R20 - [REPEAT 20] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Bradley Kenstler
AIM206-R3 - [REPEAT 3] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Jason Holgerson
AIM206-R4 - [REPEAT 4] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Todd Escalona
AIM206-R5 - [REPEAT 5] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Todd Escalona
AIM206-R6 - [REPEAT 6] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop DeClercq Wentzel
AIM206-R7 - [REPEAT 7] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Muhyun Kim
AIM206-R8 - [REPEAT 8] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Muhyun Kim
AIM206-R9 - [REPEAT 9] Robocar Rally 2018 Get behind the keyboard for an immersive experience with autonomous cars at Robocar Rally 2018. In this workshop you will get hands-on-experience with machine learning and robo-racing cars. Developers with no prior machine learning or robotic experience will learn new skills and apply their knowledge in a fun and exciting way. You will join a pit crew where you will build, train, and race a robo-racing car! Start your engines, the race is on! Workshop Donnie Prakoso
AIM301-R - [REPEAT] Deep Learning for Developers: An Introduction, Featuring Samsung SDS Artificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. In this session, learn what deep learning is and how you can use it in your applications to unlock new and exciting capabilities for your customers and business. Also hear from Samsung SDS about how it developed a deep-learning model for cardiac arrhythmia detection using Apache MXNet, an open-source deep-learning framework. By the end of the session, you will understand how to leverage deep learning in your applications and get started with it. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour. Session Hagay Lupesko
Seungjai Min
AIM301-R1 - [REPEAT 1] Deep Learning for Developers: An Introduction, Featuring Samsung SDS Artificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. In this session, learn what deep learning is and how you can use it in your applications to unlock new and exciting capabilities for your customers and business. Also hear from Samsung SDS about how it developed a deep-learning model for cardiac arrhythmia detection using Apache MXNet, an open-source deep-learning framework. By the end of the session, you will understand how to leverage deep learning in your applications and get started with it. Session Nathaniel Slater
Seungjai Min
AIM302 - Machine Learning at the Edge Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity. Session Julien Simon
Brian Kursar
Nimish Amlathe
AIM303-R - [REPEAT] Create Smart and Interactive Apps with Intelligent Language Services on AWS Amazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us. Session Niranjan Hira
Vikram Anbazhagan
Dave Mace
AIM303-R1 - [REPEAT 1] Create Smart and Interactive Apps with Intelligent Language Services on AWS Amazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us. Session Niranjan Hira
Vikram Anbazhagan
Raj Raina
Narsimha Rao Polisetty
AIM303-R2 - [REPEAT 2] Create Smart and Interactive Apps with Intelligent Language Services on AWS Amazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us. Session David Pearson
Niranjan Hira
Vikram Anbazhagan
Davis Addy
AIM304 - Transform the Modern Contact Center Using Machine Learning and Analytics Analyzing customer service interactions across channels provides a complete 360-degree view of customers. By capturing all interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect and AWS machine learning services, such Amazon Lex, Amazon Transcribe, and Amazon Comprehend, to quickly process and analyze thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception. Session Paul Zhao
Niranjan Hira
Yasser El-Haggan
Byron Guernsey
AIM305-R - [REPEAT] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Sireesha Muppala
AIM305-R1 - [REPEAT 1] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Sireesha Muppala
AIM305-R2 - [REPEAT 2] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Gautam Srinivasan
AIM305-R3 - [REPEAT 3] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Sireesha Muppala
AIM305-R5 - [REPEAT 5] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Sireesha Muppala
AIM305-R6 - [REPEAT 6] Automatically Extract Metadata Using Computer Vision & Language AI Services Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution. Builders Session Sireesha Muppala
AIM306-R - [REPEAT] Build Custom Models for AWS DeepLens with Amazon SageMaker In this session, you will learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera and Amazon SageMaker. Builders Session Mahendra Bairagi
AIM306-R1 - [REPEAT 1] Build Custom Models for AWS DeepLens with Amazon SageMaker In this session, you will learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera and Amazon SageMaker. Builders Session Mahendra Bairagi
AIM306-R2 - [REPEAT 2] Build Custom Models for AWS DeepLens with Amazon SageMaker In this session, you will learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera and Amazon SageMaker. Builders Session Mahendra Bairagi
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