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ACT01 - Midnight Madness Midnight Madness provides a sneak peek into re:Invent, complete with fun, drinks, and snacks. There will be a chicken wing eating contest, marching bands, conga lines, street performers, and much, much more - don't miss it! Activity
ACT02 - Tatonka Join us at Midnight Madness to discover and witness re:Invent's famous chicken wing eating extravaganza - Tatonka. Reserve your seat in advance. Tatonka
ACT05 - Ping Pong Tournament #1 The AWS Ping Pong Tournament returns to re:Invent, with games on Wednesday and Thursday. Activity
ACT06 - Ping Pong Tournament #2 The AWS Ping Pong Tournament returns to re:Invent, with games on Wednesday and Thursday. Activity
ACT07 - Bingo Night (Venetian) Back by popular demand, Bingo Night returns to re:Invent across two venues. Activity
ACT08 - Bingo Night (Aria) Back by popular demand, Bingo Night returns to re:Invent across two venues. Activity
ACT09 - Board Game Night Relax with fellow attendees over snacks and a game or two of whatever you're into. We'll have all the classics and much more. Activity
ACT10 - Arts & Crafts Looking for something creative and relaxing to help you unwind? Grab a beverage to sip on while painting your own masterpiece. Reserve your seat in advance. Activity
ACT11 - Movie Night (Venetian) Grab some popcorn and get ready to watch cult classics and best-loved films of the '80s! Doors open at 7:00 PM. Activity
ACT12 - Movie Night (Aria) Grab some popcorn and get ready to watch cult classics and best-loved films of the '80s! Doors open at 7:00 PM. Activity
ACT13 - Broomball For those of you who always wanted to play Quidditch in school, broomball is for you. We'll explain everything just bring yourself! Activity
ACT14 - Dodgeball Remember the 5 Ds of dodgeball: “Dodge, duck, dip, dive, and dodge.” If you can live by those wise words, you’ll fit right in at our annual dodgeball showdown! Activity
ACT15 - Choir! Choir! Choir! Ready to sing your heart out alongside your fellow attendees? Reserve your spot to join the choir! Activity
ADM201-L - Leadership session: Digital marketing and ad technology In 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 collection, 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. Session Dmitri Tchikatilov Calvin French-Owen Scott N Brown Zak Stengel Srini Varadarajan
ADM203 - Reimagining advertising analytics & identity resolution at scale 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. Session Dmitri Tchikatilov Sasikala Singamaneni Eric Whitney Christopher Hansen
ADM301 - Best practices for identity resolution with Amazon Neptune In this chalk talk, 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. Chalk Talk Taylor Riggan Nitin Poddar
ADM302 - End-to-end machine learning using 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. We explain productionizing models and deployment, which we then back up with real-life examples. Session Dmitri Tchikatilov François Guerraz Janko Kovacevic
ADM303 - Implementing 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. Chalk Talk Dylan Tong James Jory
ADM401 - Analyzing Amazon DSP data in an AWS data lake 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. Builders Session David Beck
ADM402 - Testing techniques for measuring personalization 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. Builders Session James Jory
AIM201-S - Hot paths to anomaly detection with TIBCO data science, streaming on AWS Sensor data on the event stream can be voluminous. In NAND manufacturing, there are millions of columns of data that represent many measured and virtual metrics. These sensor data can arrive with considerable velocity. In this session, learn about developing cross-sectional and longitudinal analyses for anomaly detection and yield optimization using deep learning methods, as well as super-fast subsequence signature search on accumulated time-series data and methods for handling very wide data in Apache Spark on Amazon EMR. The trained models are developed in TIBCO Data Science and Amazon SageMaker and applied to event streams using services such as Amazon Kinesis to identify hot paths to anomaly detection. This presentation is brought to you by TIBCO Software, an APN Partner. Session Michael OConnell Steve Hillion
AIM202-S - Artificial intelligence in Healthcare SENTRI is an intelligent automation application platform built leveraging native AWS components to facilitate case processing in the Healthcare industry. PwC built an engine that can take in an adverse healthcare/level of service (HC/LS) event case, extract key information, provide an initial interpretation of severity, and triage the case for review. PwC performed analysis using a user-centric experience, which allowed the case processor to easily verify outputs and helped build trust and confidence in the machine’s interpretation. In this session, learn how a PwC customer has been successfully using this system for over nine months. It used to take two hours to process a case. Now, it takes three seconds. This presentation is brought to you by PwC, an APN Partner. Session Matthew Rich
AIM203-S - Take AI/ML from theory to practice with Intel technologies on AWS The challenges associated with scalability have been removed in the cloud. Today, organizations deploy tons of artificial intelligence/machine learning (AI/ML) workloads on AWS. Learn about how easy and cost-effective it is to build customized, intelligent data models leveraging the full power of Intel Xeon Scalable processors. Also, learn how you can rapidly train, deploy, and operationalize AI/ML and big data applications on AWS. This presentation is brought to you by Intel, an APN Partner. Session
AIM204-S - Discovering the value of a cloud data platform In this session, Discover Financial Services and Accenture discuss their work with moving Discover from an on-premises data infrastructure to the AWS Cloud, which offers advanced analytics. With an intelligent data strategy and fully optimized AWS Cloud data solution, Discover is transforming the customer experience and increasing shareholder value. Today, the bank leverages data from many sources—structured and unstructured, streaming and batch—and analyzes the data for insights. This strategy required a bold pivot from a legacy, on-premises architecture to a fully integrated data platform on the cloud. Learn how Discover is also successfully navigating the cultural changes of this type of transformation. This presentation is brought to you by Accenture, an APN Partner. Session Arunashish Majumdar Chad Duncan Michael Oppenheim
AIM205 - Starting the enterprise machine learning journey, featuring ProSieben Amazon has been investing in machine learning for more than 20 years, innovating in areas such as fulfillment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization. During this session, we take this expertise and show you how to identify business problems that can be solved with machine learning. We discuss considerations including selecting the right use case for a machine learning pilot, nurturing skills, and measuring the success of such pilots. We dive into success stories from the Amazon ML Solutions Lab, and you can hear from ProSieben about how it moved from idea to production with machine learning. Session Jason Gelman Priya Ponnapalli Kiran Kulkarni
AIM206-R - [REPEAT] Finding a needle in a haystack: Use AI to transform content management Finding digital content, from documents to media, can be frustrating and time-consuming. Across your employees or customers, this challenge can waste hours, derail projects, and create poor experiences. In this breakout session, learn how to use language and vision AI services to extract data, insights, and trends from all of your digital content, with a focus on how to more effectively manage your documents and find what you need. Session Udi Hershkovich Niranjan Hira Girish Arunagiri
AIM206-R1 - [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management Finding digital content, from documents to media, can be frustrating and time-consuming. Across your employees or customers, this challenge can waste hours, derail projects, and create poor experiences. In this breakout session, learn how to use language and vision AI services to extract data, insights, and trends from all of your digital content, with a focus on how to more effectively manage your documents and find what you need. Session Udi Hershkovich Niranjan Hira Girish Arunagiri
AIM207-R - [REPEAT] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Donnie Prakoso Brian Townsend
AIM207-R1 - [REPEAT 1] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop OLIVIER BERGERET Eduardo Calleja
AIM207-R2 - [REPEAT 2] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Sunil Mallya
AIM207-R3 - [REPEAT 3] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Tim O'Brien Todd Escalona
AIM207-R4 - [REPEAT 4] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Francois van Rensburg Muhyun Kim
AIM207-R5 - [REPEAT 5] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Ben Thurgood Sunil Mallya
AIM207-R6 - [REPEAT 6] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Donnie Prakoso Brian Townsend
AIM207-R7 - [REPEAT 7] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop OLIVIER BERGERET Eduardo Calleja
AIM207-R8 - [REPEAT 8] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Francois van Rensburg Muhyun Kim
AIM207-R9 - [REPEAT 9] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Eric Sun Tim O'Brien
AIM208-R - [REPEAT] Transform the way you search and interact with enterprise data using AI How can you get the most intuitive and specific answer to a search query when the answer may be hidden within various enterprise filing or information systems? This session teaches you how to use natural language processing, a machine learning technique, to build an enterprise search solution that will give you straightforward answers to questions like, “How much is the cash reward on the corporate credit card?” Learn how this can improve cross-team knowledge sharing, enhance sales and customer support services, and make it much easier for end customers to find the information they need. Session Vikram Anbazhagan Jean-Pierre Dodel
AIM208-R1 - [REPEAT 1] Transform the way you search and interact with enterprise data using AI How can you get the most intuitive and specific answer to a search query when the answer may be hidden within various enterprise filing or information systems? This session teaches you how to use natural language processing, a machine learning technique, to build an enterprise search solution that will give you straightforward answers to questions like, “How much is the cash reward on the corporate credit card?” Learn how this can improve cross-team knowledge sharing, enhance sales and customer support services, and make it much easier for end customers to find the information they need. Session Vikram Anbazhagan Jean-Pierre Dodel
AIM210 - Transforming Healthcare with AI Improving patient care, making treatment decisions, managing clinical trials, and more are all moving into a new age due to advancements in AI. In this session, we cover AI solutions specific to the Healthcare industry, from extracting relevant medical information from patient records and clinical trial reports to automating the clinical documentation process with automatic speech recognition. Hear directly from our customers and come away with answers on how to get started immediately. Session Paul Zhao Arun Ravi
AIM211 - AI document processing for business automation Millions of times per day, customers from the Finance, Healthcare, public, and other sectors rely on information that is locked in documents. Amazon Textract uses artificial intelligence to "read" such documents as a person would, to extract not only text but also tables, forms, and other structured data without configuration, training, or custom code. In this session, we demonstrate how you can use Amazon Textract to automate business processes with AI. You also hear directly from our customers about how they accelerated their own business processes with Amazon Textract. Session Kriti Bharti Jon Turow Siddharth Ram
AIM212 - ML in retail: Solutions that add intelligence to your business Machine learning is ranked the number-one “game changer” for the retail market segment by chief experience officers (CXOs), yet it’s only number eight on top spending priorities. So which scenarios are real? In this session, we dive into how AWS puts machine learning in the hands of every developer, without the need for deep machine learning experience. Learn about personalized product recommendations, inventory forecasting, new in-store experiences, and more. Learn from our experience at Amazon.com and hear from our customers today. Session Ben Thurgood Samir Araujo
AIM213-R - [REPEAT] Improve machine learning model quality in response to changes in data Machine learning models are typically trained and evaluated using historical data. But the real-world data may not look like the training data, especially as models age over time and the distribution of data changes. This gradual variance of the model from the real world is known as model drift, and it can have a big impact on prediction quality. This session explores techniques you can use to monitor prediction quality in production, as well as effective corrective actions such as auditing and iterative retraining.     Session Urvashi Chowdhary
AIM213-R1 - [REPEAT 1] Improve machine learning model quality in response to changes in data Machine learning models are typically trained and evaluated using historical data. But the real-world data may not look like the training data, especially as models age over time and the distribution of data changes. This gradual variance of the model from the real world is known as model drift, and it can have a big impact on prediction quality. This session explores techniques you can use to monitor prediction quality in production, as well as effective corrective actions such as auditing and iterative retraining. Session Urvashi Chowdhary
AIM218-L - Leadership session: Machine learning We are embarking on the golden age of machine learning. Many of the constraints that typically held back the application of machine learning in the real world are starting to disappear. AWS offers a significant breadth and depth of cloud services. In this leadership session, we explore the democratization of machine learning and how the growth of cloud services makes it easy for customers to move from idea to production with machine learning. Session Swami Sivasubramanian
AIM220-S - Farmers Insurance elevating customer experience with conversational AI As part of its digital transformation journey, Farmers, one of America’s largest insurers, envisioned digitizing its customer and agent service experience. Join Farmers for this insightful session, and learn how it leveraged conversational artificial intelligence (AI), chatbots, and other next-generation AWS technologies to offer a seamless, personalized, and contextualized experience for agents and customers. Learn how Farmers improved customer experience and optimized resources while encouraging self-service with cloud-based services, automation, and AI. Also, gain insights on how to design, architect, and build a scalable conversational AI solution that caters to growing business demands. This presentation is brought to you by Cognizant, an APN Partner. Session Arjun Chatterjee Joseph Stellin
AIM222-R - [REPEAT] Monetizing text-to-speech AI In this interactive session, we look at different options to monetize text-to-voice applications. We focus on Amazon Polly, a machine learning–powered service that produces lifelike speech. You learn to monetize this capability and generate a positive ROI when creating Amazon Polly applications. This chalk talk covers both business and technical considerations. Chalk Talk Robin Dautricourt Ron Jaworski
AIM222-R1 - [REPEAT 1] Monetizing text-to-speech AI In this interactive session, we look at different options to monetize text-to-voice applications. We focus on Amazon Polly, a machine learning–powered service that produces lifelike speech. You learn to monetize this capability and generate a positive ROI when creating Amazon Polly applications. This chalk talk covers both business and technical considerations. Chalk Talk Robin Dautricourt Ron Jaworski
AIM224 - Use pretrained models and algorithms in AWS Marketplace You can cut down on development time for machine learning projects with third-party algorithms and models in a secure environment using Amazon SageMaker. Learn how in this chalk talk, as we walk through the subscription, evaluation, and deployment process for algorithms as well as pretrained models from AWS Marketplace. Chalk Talk Kanchan Waikar
AIM225 - How to build a car that does an 8.64-second lap with AWS DeepRacer Deep dive on AWS DeepRacer! In this chalk talk, learn how to build a race-winning model from a 2019 AWS Summit Circuit race winner and get tips on how you can excel in the AWS DeepRacer league in 2020. Chalk Talk Chun Yin Wong Kwai Hung Chong
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