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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 well in advance. Participation is first come, first served, and seating is not guaranteed. While you won’t begin eating until 10:30PM, you can queue as early as 8:00PM at Titian 2205 in the Venetian, Level 2. 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 some of the best-loved films of the '80s, such as "Pretty in Pink," "The Goonies," "Stand by Me," "Ferris Bueller's Day Off," "Gremlins," "Wayne's World," and "Back to the Future."  Activity
ACT12 - Movie Night (Aria) Grab some popcorn and get ready to watch cult classics and some of the best-loved films of the '80s, such as "Pretty in Pink," "The Goonies," "Stand by Me," "Ferris Bueller's Day Off," "Gremlins," "Wayne's World," and "Back to the Future."  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 - Epic '80s Sing-Along with Choir!Choir!Choir! Ready to sing your heart out alongside your fellow attendees? Reserve your spot to join the choir! Activity
ACT16 - Expanse Sneak Peek Come watch an exclusive sneak peek of the epic new season of The Expanse. We are bringing you the first episode of Season 4 before it comes out on Prime Video on Dec. 13. There will also be Expanse-themed cocktails, drinks, snacks, and giveaways. Activity
ACT17 - Women in Identity, Security, and Privacy re:Invent Gathering Spend a few hours networking with women in the fields of Identity, Security, and Privacy. Meet female leaders in AWS identity-related services and hear lightning talks from women in the Identity and Security industry. Connect with other women and allies while sampling wine and chocolates from around the world. Create your own security-themed craft project to take home with you! Most of all, take this time to enjoy a relaxed environment, expand your connections, and learn something new. The event is co-hosted by Women in Identity and Women in Security & Privacy. Heavy appetizers will be served. Dress code is casual. Allies are welcome. Activity
ACT18 - Three Square's BackPack for Kids (Tuesday) Join AWS in supporting Three Square Food Bank's BackPack for Kids program. Thousands of children are eligible for free and reduced price meals through the Clark County School District. When the school bell rings on Friday, many of these children go hungry until school resumes Monday morning. BackPack for Kids is one of three childhood nutrition programs that Three Square offers. Each bag contains ready-to-eat meals that help sustain these kids over the weekend or during breaks from school. Get involved by putting together a backpack or two at re:Invent! Activity
ACT19 - Three Square's BackPack for Kids (Wednesday) Join AWS in supporting Three Square Food Bank’s BackPack for Kids program. Thousands of children are eligible for free and reduced price meals through the Clark County School District. When the school bell rings on Friday, many of these children go hungry until school resumes Monday morning. BackPack for Kids is one of three childhood nutrition programs that Three Square offers. Each bag contains ready-to-eat meals that help sustain these kids over the weekend or during breaks from school. Get involved by putting together a backpack or two at re:Invent! Activity
ACT20 - Help us wipe out childhood hunger in Las Vegas Tune in to AWS Launchpad on Tuesday, Dec. 3, from 11:15AM to 11:35AM PT for a special Launchpad kickoff interview, and learn about how you can help eradicate childhood hunger in Las Vegas. AWS Launchpad is a live streaming show on the http://twitch.tv/aws channel airing Tuesday, Dec. 3, through Thursday, Dec. 5, at re:Invent. Donations are accepted through Thursday, Dec. 5, at 4:00PM PT. These efforts will provide funds for Three Square Food Bank. Together, we can feed everyone. Donations must be made through Tiltify and are treated in accordance with Tiltify’s Privacy Policy and Terms of Service. Activity
ACT21 - Mother's Room (Monday) Mother's rooms are designed and used only for the purpose of providing a lactating mother with a private, secure space to breastfeed or express breast milk for her nursing child. Mother's rooms are available throughout the re:Invent campus. A key is required for entry and is available at the identified location near each mother's room. 7:00AM - 9:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Encore, Mirage, MGM   Aria, Level 3 West, Registration Desk 3B Bellagio, Donatello 3 Encore, Registration Desk 6 Office Mirage, Registration Desk 2 Office MGM, Level 1, Boulevard 154 Venetian, Level 1, Galileo 1002 Activity
ACT22 - Mother's Room (Tuesday) Mother's rooms are designed and used only for the purpose of providing a lactating mother with a private, secure space to breastfeed or express breast milk for her nursing child. Mother's rooms are available throughout the re:Invent campus. A key is required for entry and is available at the identified location near each mother's room.   7:00AM - 9:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Encore, Mirage, MGM   Aria, Level 3 West, Registration Desk 3B Bellagio, Donatello 3 Encore, Registration Desk 6 Office Mirage, Registration Desk 2 Office MGM, Level 1, Boulevard 154 Venetian, Level 1, Galileo 1002 Activity
ACT23 - Mother's Room (Wednesday) Mother's rooms are designed and used only for the purpose of providing a lactating mother with a private, secure space to breastfeed or express breast milk for her nursing child. Mother's rooms are available throughout the re:Invent campus. A key is required for entry and is available at the identified location near each mother's room.   7:00AM - 9:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Encore, Mirage, MGM   Aria, Level 3 West, Registration Desk 3B Bellagio, Donatello 3 Encore, Registration Desk 6 Office Mirage, Registration Desk 2 Office MGM, Level 1, Boulevard 154 Venetian, Level 1, Galileo 1002 Activity
ACT24 - Mother's Room (Thursday) Mother's rooms are designed and used only for the purpose of providing a lactating mother with a private, secure space to breastfeed or express breast milk for her nursing child. Mother's rooms are available throughout the re:Invent campus. A key is required for entry and is available at the identified location near each mother's room.   Aria, Level 3 West, Registration Desk 3B Bellagio, Donatello 3 Encore, Registration Desk 6 Office Mirage, Registration Desk 2 Office MGM, Level 1, Boulevard 154 Venetian, Level 1, Galileo 1002 Activity
ACT25 - Mother's Room (Friday) Mother's rooms are designed and used only for the purpose of providing a lactating mother with a private, secure space to breastfeed or express breast milk for her nursing child. Mother's rooms are available throughout the re:Invent campus. A key is required for entry and is available at the identified location near each mother's room.   Mirage, Registration Desk 2 Office Venetian, Level 1, Galileo 1002 Activity
ACT26 - Reflection Room (Monday) Reflection rooms, or quiet rooms, are available at the event and can be used when needed during general conference hours. Reflection rooms are available throughout the re:Invent campus. 7:00AM - 8:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Mirage, MGM Aria, Level 3 West, Registration Desk 3A Bellagio, Donatello 2 Mirage, Andros A MGM, Level 2, Room 256 Venetian, Level 1, Galileo 902 Activity
ACT27 - Reflection Room (Tuesday) Reflection rooms, or quiet rooms, are available at the event and can be used when needed during general conference hours. Reflection rooms are available throughout the re:Invent campus.   7:00AM - 8:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Mirage, MGM   Aria, Level 3 West, Registration Desk 3A Bellagio, Donatello 2 Mirage, Andros A MGM, Level 2, Room 256 Venetian, Level 1, Galileo 902 Activity
ACT28 - Reflection Room (Wednesday) Reflection rooms, or quiet rooms, are available at the event and can be used when needed during general conference hours. Reflection rooms are available throughout the re:Invent campus.   7:00AM - 8:00PM: Aria, Venetian 7:00AM - 7:00PM: Bellagio, Mirage, MGM   Aria, Level 3 West, Registration Desk 3A Bellagio, Donatello 2 Mirage, Andros A MGM, Level 2, Room 256 Venetian, Level 1, Galileo 902 Activity
ACT29 - Reflection Room (Thursday) Reflection rooms, or quiet rooms, are available at the event and can be used when needed during general conference hours. Reflection rooms are available throughout the re:Invent campus.   Aria, Level 3 West, Registration Desk 3A Bellagio, Donatello 2 Mirage, Andros A MGM, Level 2, Room 256 Venetian, Level 1, Galileo 902 Activity
ACT30 - Reflection Room (Friday) Reflection rooms, or quiet rooms, are available at the event and can be used when needed during general conference hours. Reflection rooms are available throughout the re:Invent campus.   Mirage, Andros A Venetian, Level 1, Galileo 902 Activity
ACT31 - re:Play It's more than just an EDM concert and interactive extravaganza—re:Play is the ultimate playground for those of us who didn't get the memo that grown-ups don't play. 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 Tejas Desai Calvin French-Owen Zak Stengel Scott Brown
ADM201-LOFA - [OVERFLOW] Leadership session: Digital marketing and ad technology (Teal-Aria) 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. Overflow
ADM201-LOFB - [OVERFLOW] Leadership session: Digital marketing and ad technology (Teal-Bellagio) 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. Overflow
ADM201-LOFM - [OVERFLOW] Leadership session: Digital marketing and ad technology (Teal-Mirage) 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. Overflow
ADM201-LOFMGM - [OVERFLOW] Leadership session: Digital marketing and ad technology (Teal-MGM) 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. Overflow
ADM201-LOFV - [OVERFLOW] Leadership session: Digital marketing and ad technology (Teal-Venetian) 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. Overflow
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
ADM203-OFA - [OVERFLOW] Reimagining advertising analytics & identity resolution at scale (Yellow-Aria) 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. Overflow
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-R - [REPEAT] 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 Francois Guerraz Janko Kovacevic
ADM302-R1 - [REPEAT 1] 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 Francois Guerraz Janko Kovacevic
ADM302-ROFA - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-Aria) 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. Overflow
ADM302-ROFB - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-Bellagio) 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. Overflow
ADM302-ROFM - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-Mirage) 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. Overflow
ADM302-ROFMGM - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-MGM) 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. Overflow
ADM302-ROFV - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-Venetian) 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. Overflow
ADM302-ROFVST - [OVERFLOW] [REPEAT] End-to-end machine learning using Spark and Amazon SageMaker (Blue-VenetianST) 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. Overflow
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. Please bring your laptop. 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. Please bring your laptop. Builders Session James Jory
AHH01 - Canaletto - 80s Night Calling all developers, gamers, and '80s lovers. Join Red Hat as we celebrate the rise of the open-source era and 8-bit gaming with food, drinks, games, and prizes. And jump back in time with us as we celebrate the brightest decade with special appearances from your favorite 8-bit characters. After hours
AHH02 - Education & Government–Focused Networking Reception at Sage Carahsoft is pleased to host a networking reception for all federal, state, and local government and public education professionals participating in AWS re:Invent 2019. Join us Tuesday, December 3, for an evening of drinks, hors d'oeuvres, and networking with peers at ARIA's Sage. After hours
AHH03 - Join the Nutanix Rebel Alliance at Yardbird Looking to deploy applications in a hybrid cloud? Head to Yardbird for some cantina cocktails and to learn more. Do or do not; there is no try. (Nutanix is not affiliated with Lucasfilm or Disney.) After hours
AHH04 - NetApp at TAO Nightclub Join NetApp at TAO Nightclub. We have arcade games, specialty cocktails, and passed hors d'oeuvres from TAO Asian Bistro with unlimited beer, wine, and soft drinks. After hours
AHH05 - The Out-of-This-World AWS Party at Cañonita Sometimes you just need to get away from it all - preferably to another galaxy. That's why Harness is hosting a special space-themed party, featuring exclusive invitations to a free screening of Star Wars: The Rise of Skywalker on opening night in eight cities. Join us! Get food, free drinks, and swag, and find out how to join a theater full of screaming, happy DevOps and engineering folks on opening night. After hours
AHH07 - Celebrate Customer Success with AWS Support at Chica Join us at the AWS Support - Trusted Advisor Celebration to network with the customer-obsessed team of experts who provide you with guidance, assistance, and technology so that you can achieve success. After hours
AHH08 - Dell Marketing Restaurant Reception at Mercato Life is a game, kid. It all depends on how you play! Harness your inner kid, and join Dell Technologies for a fun-filled evening of food, drinks, and some retro gaming action that will take you back to your childhood. After hours
AHH09 - MongoDB’s Restaurant Reception at SUGARCANE Datadog, MongoDB, and Gremlin elevate efficiency in monitoring, databases, and failure mode testing to maintain high application and infrastructure uptime. Join us to learn more over drinks, and enter to win a $1,000 Amazon gift card! After hours
AHH10 - Rapid7 Restaurant Reception at Herringbone More Information Coming Soon! After hours
AHH11 - TIBCO Restaurant Reception at LAVO Lounge More Information Coming Soon! After hours
AHH12 - Healthcare, Life Sciences, and Genomics Reception Are you in the Healthcare, Life Sciences, or Genomics industries? Join us for a networking reception with industry peers and AWS experts to further explore how AWS powers new innovations in precision medicine and health. Mix and mingle with AWS leadership and colleagues from the Healthcare, Pharma, Genomics, Biotech, and Medtech industries, all in one place! After hours
AHH13 - Mix and Mingle with AWS AgTech Are you in the Agriculture Industry, or interested in learning more? Join us for a networking reception with industry peers, AWS experts, and sponsor, Pariveda, to further explore how AWS powers new innovations in AgTech. Meet and mingle with colleagues that are also passionate about the intersection of technology and agriculture. After hours
AHH14 - AWS Game Tech at The Still Are you a game developer? Meet with fellow collaborators and experts from AWS Game Tech, and learn more about everything you need to build, operate, and differentiate amazing games. Join us for food, drinks, and conversation. Behind every great game, there’s game tech. After hours
AHH15 - Mixology Night at Crush Join AWS and your fellow re:Invent friends for a night of conversation and innovative libations. We will have a mixologist on hand shaking up creative cocktails. Don't miss this fun night of networking! After hours
AHH16 - AWS DeepRacer Celebration Calling all aspiring machine learning developers! Join the AWS DeepRacer champions and pit crew at TAP Sports Bar to celebrate the 2019 season and to learn more about how you can get started with machine learning and participate in the AWS DeepRacer League in 2020. After hours
AHH17 - Taco Tuesday with the AWS Heroes Join us for Taco Tuesday, meet AWS heroes (who are leaders in local technical communities around the world), and discuss the various ways to build AWS skills both in person and online through community-led content and events. After hours
AHH18 - The Cyber Cantina by Armor Join us at the Cyber Cantina at Cañonita for plenty of tacos, tequila & tech, plus waterfront views of the Grand Canal, and great networking opportunities with your peers and Armor, and more. URL to RSVP: https://www.armor.com/registration/cyber-cantina-2019/ After hours
AHH19 - Atlassian Restaurant Reception at Lagasse's Stadium Join Atlassian for a restaurant reception at Lagasse’s Stadium. There will be drinks, bites, and fun for all! After hours
AHH20 - MongoDB’s Pop-Up Playground Party Create unforgettable memories, or at least killer Instagram photos, with a glowing ball pit, DIY graffiti walls, and other immersive activities. Enjoy delicious drinks while the hottest DJs in Vegas keep the soundtrack fresh and the party “turnt up.” URL to RSVP: https://popupplayground.mongodb.events/ After hours
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 Jacob Burch Siddhartha Bhattacharya
AIM203-SR - [REPEAT] 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. Additionally, learn how Footasylum, a leading UK leisurewear retailer, is globally optimizing its value chain. By utilizing the Peak AI ML solution powered by Intel on AWS, Footasylum is leveraging ML for long-term success in the modern retail climate. This presentation is brought to you by Intel, an APN Partner. Session Richard Potter Binay Ackalloor Tom Summerfield
AIM203-SR1 - [REPEAT 1] 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. Additionally, learn how Footasylum, a leading UK leisurewear retailer, is globally optimizing its value chain. By utilizing the Peak AI ML solution powered by Intel on AWS, Footasylum is leveraging ML for long-term success in the modern retail climate. This presentation is brought to you by Intel, an APN Partner. Session Tom Summerfield Richard Potter Binay Ackalloor
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-R - [REPEAT] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE 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 ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning.         Session Jason Gelman Priya Ponnapalli Kiran Kulkarni
AIM205-R1 - [REPEAT 1] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE 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 ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning.         Session Jason Gelman Priya Ponnapalli Kiran Kulkarni
AIM205-R1OFA - [OVERFLOW] [REPEAT 1] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE (Yellow-Aria) 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 ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning. Overflow
AIM205-R1OFMGM - [OVERFLOW] [REPEAT 1] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE (Yellow-MGM) 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 ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning. Overflow
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
AIM206-R1OFA - [OVERFLOW] [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management (Blue-Aria) 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. Overflow
AIM206-R1OFB - [OVERFLOW] [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management (Blue-Bellagio) 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. Overflow
AIM206-R1OFM - [OVERFLOW] [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management (Blue-Mirage) 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. Overflow
AIM206-R1OFMGM - [OVERFLOW] [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management (Blue-MGM) 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. Overflow
AIM206-R1OFV - [OVERFLOW] [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management (Blue-Venetian) 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. Overflow
AIM206-ROFB - [OVERFLOW] [REPEAT] Finding a needle in a haystack: Use AI to transform content management (Blue-Bellagio) 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. Overflow
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 Brien Blandford Donnie Prakoso
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 Antonio Rodriguez Eric Sun
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 Chuong Vu Varadaraj Ramachandraiah
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 Todd Escalona Francois van Rensburg
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 Brian Townsend Eduardo Calleja
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 De Clercq Wentzel Ben Thurgood
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 Jillian Forde Eduardo Calleja
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 Shivansh Singh OLIVIER BERGERET
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 Muhyun Kim Tim O'Brien
AIM208-R - [REPEAT] Announcing Amazon Kendra: Transform the way you search and interact with enterprise data using AI How can you get the most accurate and specific answer to a search query when the answer may be hidden within various enterprise information systems? This session teaches you how to use Amazon Kendra, 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 Jean-Pierre Dodel Vikram Anbazhagan Shelley Kalms
AIM208-R1 - [REPEAT 1] Announcing Amazon Kendra: Transform the way you search and interact with enterprise data using AI How can you get the most accurate and specific answer to a search query when the answer may be hidden within various enterprise information systems? This session teaches you how to use Amazon Kendra, 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 Jean-Pierre Dodel Vikram Anbazhagan Shelley Kalms
AIM210 - [NEW LAUNCH!] Announcing Amazon Transcribe Medical: Transforming Healthcare with AI Artificial intelligence (AI) is reshaping the Healthcare industry. In this session, learn how automatic speech recognition and natural language processing services can be used to build powerful solutions that revolutionize the way medical information is collected, analyzed, and consumed by various stakeholders across the Healthcare ecosystem. From clinical documentation workflow and pharmacovigilance to telemedicine and revenue cycle management, AI services are driving changes that not only enhance Healthcare professionals’ efficiencies, but also improve the overall quality of patient care. Session Paul Zhao Jake Geers George Seegan
AIM210-OFA - [OVERFLOW] Transforming Healthcare with AI (White-Aria) 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. Overflow
AIM210-OFV - [OVERFLOW] Transforming Healthcare with AI (White-Venetian) 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. Overflow
AIM211-R - [REPEAT] 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 Jon Turow Kriti Bharti Adrian Lam
AIM211-R1 - [REPEAT 1] 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
AIM211-R1OFA - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-Aria) 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. Overflow
AIM211-R1OFB - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-Bellagio) 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. Overflow
AIM211-R1OFM - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-Mirage) 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. Overflow
AIM211-R1OFMGM - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-MGM) 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. Overflow
AIM211-R1OFV - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-Venetian) 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. Overflow
AIM211-R1OFVST - [OVERFLOW] [REPEAT 1] AI document processing for business automation (Blue-VenetianST) 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. Overflow
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
AIM212-OFV - [OVERFLOW] ML in retail: Solutions that add intelligence to your business (Yellow-Venetian) 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. Overflow
AIM213-R - [REPEAT] The new Amazon SageMaker Model Monitor: Address concept drift & model quality Machine learning (ML) models are trained and evaluated using historical data, but their quality often degrades after they’re deployed in production as the distribution of real-world data deviates from training data. This is called concept drift, and it can impact model quality. Join us as we introduce Amazon SageMaker Model Monitor, a new capability that automatically detects concept drift and takes remedial actions to maintain quality. Model Monitor alerts you when drift is detected, helping you identify the root cause and allowing you to adjust the training data. You can use it within the Amazon SageMaker studio interface, allowing you to address concept drift and maintain quality as part of the ML workflow.     Session Urvashi Chowdhary Vibhor Shukla
AIM213-R1 - [REPEAT 1] The new Amazon SageMaker Model Monitor: Address concept drift & model quality Machine learning (ML) models are trained and evaluated using historical data, but their quality often degrades after they’re deployed in production as the distribution of real-world data deviates from training data. This is called concept drift, and it can impact model quality. Join us as we introduce Amazon SageMaker Model Monitor, a new capability that automatically detects concept drift and takes remedial actions to maintain quality. Model Monitor alerts you when drift is detected, helping you identify the root cause and allowing you to adjust the training data. You can use it within the Amazon SageMaker studio interface, allowing you to address concept drift and maintain quality as part of the ML workflow. Session Urvashi Chowdhary Vibhor Shukla
AIM213-R1OFA - [OVERFLOW] [REPEAT 1] Improve machine learning model quality in response to changes in data (Yellow-Aria) 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. Overflow
AIM213-R1OFM - [OVERFLOW] [REPEAT 1] Improve machine learning model quality in response to changes in data (Blue-Mirage) 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. Overflow
AIM213-R1OFMGM - [OVERFLOW] [REPEAT 1] Improve machine learning model quality in response to changes in data (Yellow-MGM) 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. Overflow
AIM213-R1OFV - [OVERFLOW] [REPEAT 1] Improve machine learning model quality in response to changes in data (Yellow-Venetian) 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. Overflow
AIM214-R - [NEW LAUNCH!] [REPEAT] Introducing Amazon SageMaker Studio, the first full IDE for ML   Machine learning (ML) is a complex, iterative, often time-consuming process. One difficult aspect is the lack of integration between the workflow steps and the tools to accomplish them. Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale. It pulls together the ML workflow steps in a unified, visual interface—since they’re performed and tracked within one environment, the non-linear and iterative nature of ML development is greatly simplified. You can quickly move between steps, compare results and adjust inputs and parameters, and iterate faster with Amazon SageMaker Studio. Session Sumit Thakur sharath pasupunuti
AIM214-R1 - [NEW LAUNCH!] [REPEAT 1] Introducing Amazon SageMaker Studio, the first full IDE for ML   Machine learning (ML) is a complex, iterative, often time-consuming process. One difficult aspect is the lack of integration between the workflow steps and the tools to accomplish them. Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale. It pulls together the ML workflow steps in a unified, visual interface—since they’re performed and tracked within one environment, the non-linear and iterative nature of ML development is greatly simplified. You can quickly move between steps, compare results and adjust inputs and parameters, and iterate faster with Amazon SageMaker Studio. Session Sumit Thakur sharath pasupunuti
AIM215-R - [NEW LAUNCH!] [REPEAT] Intro to Amazon SageMaker Autopilot: Auto-generate ML models   Typical approaches to automatic ML don’t provide insights into the data or logic used to create models, forcing you to compromise on accuracy. Join us as we introduce Amazon SageMaker Autopilot, an automated capability that generates ML models and provides complete control and visibility of them. Learn how Autopilot automatically inspects raw data, picks the best set of algorithms, trains multiple models, tunes them, and ranks them based on performance. The result is a recommendation for the best performing model and visibility into the logic and code for how the model was created and what’s in it. Autopilot offers the best combination of automatic model creation with control and visibility. Session Kumar Venkateswar Rahul Subramaniam
AIM216-R - [NEW LAUNCH!] [REPEAT] Intro to Amazon SageMaker Debugger: Get insights into ML model training During ML model training, it’s challenging to ensure that models are progressively learning the correct values for different parameters and to analyze and debug model characteristics without building additional tools, making the process time-consuming and cumbersome. Come learn about Amazon SageMaker Debugger, a new capability that provides complete insights into the training process by automating data capture and analysis from training runs without code changes. Learn how you can analyze data using the Amazon SageMaker Studio visual interface and be alerted when anomalies and errors are detected, reducing the time needed to debug models from days to minutes. Amazon SageMaker Debugger helps you solve problems quickly, reduce troubleshooting time during training, and build high-quality models. Session Andrea Olgiati Alexander Carlson
AIM216-R1 - [NEW LAUNCH!] [REPEAT 1] Intro to Amazon SageMaker Debugger: Get insights into ML model training During ML model training, it’s challenging to ensure that models are progressively learning the correct values for different parameters and to analyze and debug model characteristics without building additional tools, making the process time-consuming and cumbersome. Come learn about Amazon SageMaker Debugger, a new capability that provides complete insights into the training process by automating data capture and analysis from training runs without code changes. Learn how you can analyze data using the Amazon SageMaker Studio visual interface and be alerted when anomalies and errors are detected, reducing the time needed to debug models from days to minutes. Amazon SageMaker Debugger helps you solve problems quickly, reduce troubleshooting time during training, and build high-quality models. Session Satadal Bhattacharjee Jayant Thomas
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 Gillian McCann
AIM218-LOFA - [OVERFLOW] Leadership session: Machine learning (Red-Aria) 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. Overflow
AIM218-LOFB - [OVERFLOW] Leadership session: Machine learning (Red-Bellagio) 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. Overflow
AIM218-LOFM - [OVERFLOW] Leadership session: Machine learning (Red-Mirage) 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. Overflow
AIM218-LOFMGM - [OVERFLOW] Leadership session: Machine learning (Red-MGM) 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. Overflow
AIM218-LOFV - [OVERFLOW] Leadership session: Machine learning (Red-Venetian) 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. Overflow
AIM218-LOFVST - [OVERFLOW] Leadership session: Machine learning (Red-VenetianST) 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. Overflow
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
AIM223-R - [NEW LAUNCH!] [REPEAT] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Divya Bhargavi Rahul Suresh Erika Pelaez Coyotl
AIM223-R1 - [NEW LAUNCH!] [REPEAT 1] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Jonathan Taws Giulio Soro
AIM223-R10 - [NEW LAUNCH!] [REPEAT 10] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Phu Nguyen Ambika Pajjuri
AIM223-R11 - [NEW LAUNCH!] [REPEAT 11] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Rahul Suresh
AIM223-R12 - [NEW LAUNCH!] [REPEAT 12] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Rahul Suresh Richard Lee
AIM223-R2 - [NEW LAUNCH!] [REPEAT 2] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Phu Nguyen Ambika Pajjuri
AIM223-R3 - [NEW LAUNCH!] [REPEAT 3] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Rahul Suresh
AIM223-R4 - [NEW LAUNCH!] [REPEAT 4] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Rahul Suresh Richard Lee
AIM223-R5 - [NEW LAUNCH!] [REPEAT 5] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Sunil Mallya
AIM223-R6 - [NEW LAUNCH!] [REPEAT 6] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Phu Nguyen Ambika Pajjuri
AIM223-R7 - [ NEW LAUNCH!] [REPEAT 7] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Jonathan Taws Giulio Soro
AIM223-R8 - [NEW LAUNCH!] [REPEAT 8] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Erika Pelaez Coyotl Rahul Suresh Divya Bhargavi
AIM223-R9 - [NEW LAUNCH!] [REPEAT 9] AWS DeepComposer: Get started with generative AI Generative AI is one of the most fascinating advancements in artificial intelligence technology, and until now, developers interested in growing skills in this area haven’t had an easy way to get started. In this workshop, you learn about generative AI and get hands-on with AWS DeepComposer, the world's first machine learning–enabled musical keyboard for developers, to create an original composition. You are also introduced to concepts that you can use in Amazon SageMaker to do even more with generative AI. Developers, make some noise! Please bring your own laptop to participate in this workshop Workshop Jonathan Taws Giulio Soro
AIM224-R - [REPEAT] 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
AIM224-R1 - [REPEAT 1] 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 Cyrus Wong Kwai Hung Chong
AIM226 - How to successfully become a machine learning developer In this chalk talk, learn how to get started building, training, and deploying your first machine learning model. We then discuss tips, tricks, and best practices on starting your machine learning journey. Chalk Talk Kate Werling Kesha Williams Alexander Schultz
AIM227-S - Powering global-scale predictive intelligence using HPC on AWS Learn how Maxar and Descartes Labs run complex, global-scale models on Amazon EC2 instances powered by Intel Xeon Scalable processors. Maxar discusses its experience setting up an operational HPC cluster to run global numerical weather prediction models, obtaining performance that eclipses the speed of the NOAA bare-metal supercomputer. Descartes Labs shows how its platform enables hyper-scale object detection on satellite imagery accelerated by Intel AVX-512 instructions. It also shares its experience deploying tightly coupled HPC applications that use spot blocks at many-thousand processor scale, using HPC clusters built on AWS instances and powered by Intel Xeon Scalable processors. This presentation is brought to you by Intel, an APN Partner. Session Mike Warren Travis Hartman Bill Magro
AIM229 - Start using computer vision with AWS DeepLens If you're new to deep learning, this workshop is for you. Learn how to build and deploy computer-vision models using the AWS DeepLens deep-learning-enabled video camera. Also learn how to build a machine learning application and a model from scratch using Amazon SageMaker. Finally, learn to extend that model to Amazon SageMaker to build an end-to-end AI application. Workshop Phu Nguyen Nathaniel Slater
AIM230-R - [NEW LAUNCH!] [REPEAT] New Amazon SageMaker notebook experience: Share & collaborate at scale Typically, starting notebooks requires spinning up compute instances, and there was previously no easy way to share and collaborate without tracking dependencies and other restrictions. Join us as we introduce the new Amazon SageMaker notebooks experience, which allows you to access notebooks in seconds without spinning up compute instances. The elastic notebooks allow you to easily scale compute up or down, and the changes take place automatically without interrupting your work. You can share notebooks by automatically reproducing the environment and library dependencies without manually tracking them so others can reproduce the results with the same data. With this new experience, you can build models faster and collaborate at scale. Session Tom Faulhaber Nicolle Correa Prasun Ghosh
AIM230-R1 - [NEW LAUNCH!] [REPEAT 1] New Amazon SageMaker notebook experience: Share & collaborate at scale   Typically, starting notebooks requires spinning up compute instances, and there was previously no easy way to share and collaborate without tracking dependencies and other restrictions. Join us as we introduce the new Amazon SageMaker notebooks experience, which allows you to access notebooks in seconds without spinning up compute instances. The elastic notebooks allow you to easily scale compute up or down, and the changes take place automatically without interrupting your work. You can share notebooks by automatically reproducing the environment and library dependencies without manually tracking them so others can reproduce the results with the same data. With this new experience, you can build models faster and collaborate at scale. Session Tom Faulhaber Prasun Ghosh
AIM231-S - Think Forward Initiative: 100M people making better financial decisions Want to learn more about using technology to impact society? Join this session! Currently, 42 percent of Europeans face financial difficulties. As lead partners of the Think Forward Initiative (TFI), Deloitte, AWS, and ING aim to empower 100 million Europeans to make better financial decisions by translating the latest consumer behavior insights into easy applicable tools. In this session, you learn how TFI supports early stage scale-ups by using Amazon S3, Amazon API Gateway, AWS Lambda, Amazon Aurora, AWS CloudFormation, AWS Cloud9, Amazon Textract, and Amazon Personalize in an accelerator program. You also learn about the AWS Well-Architected Review and AWS Activate programs. This presentation is brought to you by Deloitte, an APN Partner. Session Adam Simpson Dagmar van der Plas Joep Arends
AIM232 - Media discovery and compliance with Amazon Rekognition Searching through hundreds of hours of media assets and reviewing them for compliance daily is a tedious manual task in most media workflows today. Amazon Rekognition is a service that helps you add intelligent video and image analysis to your applications. In this session, learn how Amazon Rekognition and AWS media solutions can help you generate and manage rich video metadata for people, objects, and scenes, as well as detect any inappropriate content. Hear from our customers about how they achieved time and cost savings by using Amazon Rekognition and other AWS services. Session Venkatesh Bagaria Simon Eldridge
AIM240-P - What can you build with AI? No ML experience required This presentation was recorded prior to re:Invent. Artificial intelligence (AI) can enhance the customer experience in a contact center, automate content moderation in media, improve healthcare analytics, forecast demand more accurately, and much more. With AI services from AWS, you can add capabilities like image and video analysis, natural language, personalized recommendations, virtual assistants, and forecasting to your applications without deep expertise in machine learning (ML). Join this session to learn more about the ways that AI can improve your business. Session Nicholas Walsh
AIM301-R - [REPEAT] Creating high-quality training datasets with data labeling Amazon SageMaker Ground Truth makes it easy to quickly label high-quality, accurate training datasets. In this workshop, we set up labeling jobs for text and images to help you understand how to make the most of Amazon SageMaker Ground Truth. You learn how to explore and prepare the dataset and label it with object bounding boxes. Then, we use Amazon SageMaker to train a Single Shot MultiBox Detector (SSD) object-detection model based on the labeled dataset, use hyperparameter optimization to find the best model for deployment, and deploy the model to an endpoint for use in an application. Workshop Denis V Batalov Aashmeet Kalra Will Badr
AIM301-R1 - [REPEAT 1] Creating high-quality training datasets with data labeling Amazon SageMaker Ground Truth makes it easy to quickly label high-quality, accurate training datasets. In this workshop, we set up labeling jobs for text and images to help you understand how to make the most of Amazon SageMaker Ground Truth. You learn how to explore and prepare the dataset and label it with object bounding boxes. Then, we use Amazon SageMaker to train a Single Shot MultiBox Detector (SSD) object-detection model based on the labeled dataset, use hyperparameter optimization to find the best model for deployment, and deploy the model to an endpoint for use in an application. Workshop Will Badr Aashmeet Kalra Denis V Batalov
AIM302-R - [REPEAT] Create a Q&A bot with Amazon Lex and Amazon Alexa A recent poll showed that 44 percent of customers would rather talk to a chatbot than to a human for customer support. In this workshop, we show you how to deploy a question-and-answer bot using two open-source projects: QnABot and Lex-Web-UI. You get started quickly using Amazon Lex, Amazon Alexa, and Amazon Elasticsearch Service (Amazon ES) to provide a conversational chatbot interface. You enhance this solution using AWS Lambda and integrate it with Amazon Connect. Workshop Bob Potterveld Bob Strahan
AIM302-R1 - [REPEAT 1] Create a Q&A bot with Amazon Lex and Amazon Alexa A recent poll showed that 44 percent of customers would rather talk to a chatbot than to a human for customer support. In this workshop, we show you how to deploy a question-and-answer bot using two open-source projects: QnABot and Lex-Web-UI. You get started quickly using Amazon Lex, Amazon Alexa, and Amazon Elasticsearch Service (Amazon ES) to provide a conversational chatbot interface. You enhance this solution using AWS Lambda and integrate it with Amazon Connect. Workshop Bob Potterveld Bob Strahan
AIM303-R - [REPEAT] Stop guessing: Use AI to understand customer conversations You don't need to be a data scientist to build an AI application. In this workshop, we show you how to use AWS AI services to build a serverless application that you can use to understand your customer interactions. Analyze call-center recordings with the help of automatic speech recognition, translation, and natural language processing (NLP). Get hands-on by producing your own call recordings using Amazon Connect. In the last step of this workshop, set up a processing pipeline to automate transcription and NLP analysis, and run analytics and visualizations on the results. Workshop Dirk Froehner Boaz Ziniman
AIM303-R1 - [REPEAT 1] Stop guessing: Use AI to understand customer conversations You don't need to be a data scientist to build an AI application. In this workshop, we show you how to use AWS AI services to build a serverless application that you can use to understand your customer interactions. Analyze call-center recordings with the help of automatic speech recognition, translation, and natural language processing (NLP). Get hands-on by producing your own call recordings using Amazon Connect. In the last step of this workshop, set up a processing pipeline to automate transcription and NLP analysis, and run analytics and visualizations on the results. Workshop Boaz Ziniman Dirk Froehner
AIM304-R - [REPEAT] Build a content-recommendation engine with Amazon Personalize Machine learning is being used increasingly to improve customer engagement by powering personalized product and content recommendations. Amazon Personalize lets you easily build sophisticated personalization capabilities into your applications, using machine learning technology perfected from years of use on Amazon.com. In this workshop, you build your own recommendation engine by providing training data, building a model based on the algorithm of your choice, testing the model by deploying your Amazon Personalize campaign, and integrating it into your own application. Workshop Gaurav Singh Chauhan Chris King
AIM304-R1 - [REPEAT 1] Build a content-recommendation engine with Amazon Personalize Machine learning is being used increasingly to improve customer engagement by powering personalized product and content recommendations. Amazon Personalize lets you easily build sophisticated personalization capabilities into your applications, using machine learning technology perfected from years of use on Amazon.com. In this workshop, you build your own recommendation engine by providing training data, building a model based on the algorithm of your choice, testing the model by deploying your Amazon Personalize campaign, and integrating it into your own application. Workshop Gaurav Singh Chauhan Chris King
AIM305-R - [REPEAT] Automate content moderation and compliance with AI Brand safety is a major concern as advertising becomes more automated. Issues with ad adjacency arise, contracts with brands or celebrities run out, and user-generated content can be difficult to manage. In this workshop, you learn how to use Amazon Rekognition, Amazon Textract, and Amazon Comprehend to detect inappropriate content or noncompliant use of content such as logos or celebrity faces. You leave with a scalable architecture that will save days of manual review in media moderation and compliance workflows. Workshop Niranjan Hira Kashif Imran Gillian Armstrong
AIM305-R1 - [REPEAT 1] Automate content moderation and compliance with AI Brand safety is a major concern as advertising becomes more automated. Issues with ad adjacency arise, contracts with brands or celebrities run out, and user-generated content can be difficult to manage. In this workshop, you learn how to use Amazon Rekognition, Amazon Textract, and Amazon Comprehend to detect inappropriate content or noncompliant use of content such as logos or celebrity faces. You leave with a scalable architecture that will save days of manual review in media moderation and compliance workflows. Workshop Kashif Imran Niranjan Hira Gillian Armstrong
AIM306-R - [REPEAT] How to build high-performance ML solutions at low cost, featuring Aramex Amazon SageMaker helps provide the best model performance for less cost. In this session, we walk through a TCO analysis of Amazon SageMaker, exploring its three modules—build, train, and deploy. Learn how Amazon SageMaker automatically configures and optimizes ML frameworks such as TensorFlow, MXNet, and PyTorch, and see how to use pre-built algorithms that are tuned for scale, speed, and accuracy. We explain how the automatic model tuning feature performs hyperparameter optimization by discovering interesting features in your data and learning how those features interact to affect accuracy. Learn how to deploy your model with one click and how to lower inference costs using Amazon Elastic Inference. We end by showing how Aramex uses Amazon SageMaker. Session Mark Roy Mohammed Jamal
AIM306-R1 - [REPEAT 1] How to build high-performance ML solutions at low cost, featuring Siemens Amazon SageMaker helps provide the best model performance for less cost. In this session, we walk through a TCO analysis of Amazon SageMaker, exploring its three modules—build, train, and deploy. Learn how Amazon SageMaker automatically configures and optimizes ML frameworks such as TensorFlow, MXNet, and PyTorch, and see how to use pre-built algorithms that are tuned for scale, speed, and accuracy. We explain how the automatic model tuning feature performs hyperparameter optimization by discovering interesting features in your data and learning how those features interact to affect accuracy. Learn how to deploy your model with one click and how to lower inference costs using Amazon Elastic Inference. We end by showing how Siemens uses Amazon SageMaker to manage costs. Session Mark Roy Carlos Cunha Rodrigues Jan Pospisil
AIM306-ROFA - [OVERFLOW] [REPEAT] How to build high-performance ML solutions at low cost, featuring Aramex (Yellow-Aria) Amazon SageMaker helps provide the best model performance for less cost. In this session, we walk through a TCO analysis of Amazon SageMaker, exploring its three modules - build, train, and deploy. Learn how Amazon SageMaker automatically configures and optimizes ML frameworks such as TensorFlow, MXNet, and PyTorch, and see how to use pre-built algorithms that are tuned for scale, speed, and accuracy. We explain how the automatic model tuning feature performs hyperparameter optimization by discovering interesting features in your data and learning how those features interact to affect accuracy. Learn how to deploy your model with one click and how to lower inference costs using Amazon Elastic Inference. We end by showing how Aramex uses Amazon SageMaker. Overflow
AIM306-ROFMGM - [OVERFLOW] [REPEAT] How to build high-performance ML solutions at low cost, featuring Aramex (Yellow-MGM) Amazon SageMaker helps provide the best model performance for less cost. In this session, we walk through a TCO analysis of Amazon SageMaker, exploring its three modules—build, train, and deploy. Learn how Amazon SageMaker automatically configures and optimizes ML frameworks such as TensorFlow, MXNet, and PyTorch, and see how to use pre-built algorithms that are tuned for scale, speed, and accuracy. We explain how the automatic model tuning feature performs hyperparameter optimization by discovering interesting features in your data and learning how those features interact to affect accuracy. Learn how to deploy your model with one click and how to lower inference costs using Amazon Elastic Inference. We end by showing how Aramex uses Amazon SageMaker. Overflow
AIM306-ROFV - [OVERFLOW] [REPEAT] How to build high-performance ML solutions at low cost, featuring Aramex (Yellow-Venetian) Amazon SageMaker helps provide the best model performance for less cost. In this session, we walk through a TCO analysis of Amazon SageMaker, exploring its three modules - build, train, and deploy. Learn how Amazon SageMaker automatically configures and optimizes ML frameworks such as TensorFlow, MXNet, and PyTorch, and see how to use pre-built algorithms that are tuned for scale, speed, and accuracy. We explain how the automatic model tuning feature performs hyperparameter optimization by discovering interesting features in your data and learning how those features interact to affect accuracy. Learn how to deploy your model with one click and how to lower inference costs using Amazon Elastic Inference. We end by showing how Aramex uses Amazon SageMaker. Overflow
AIM307 - Amazon SageMaker deep dive: A modular solution for machine learning Amazon SageMaker is a fully managed service that offers developers and data scientists the flexibility to build, train, and deploy machine learning models through modular capabilities. In this session, we dive deep into the technical details of each module so you understand how to label and prepare your data, choose an algorithm, train and optimize the model, and make predictions. We also discuss practical deployments of Amazon SageMaker through real-world customer examples. Session Shyam Srinivasan Julien Simon Nils Mohr
AIM307-OFA - [OVERFLOW] Amazon SageMaker deep dive: A modular solution for machine learning (Red-Aria) Amazon SageMaker is a fully managed service that offers developers and data scientists the flexibility to build, train, and deploy machine learning models through modular capabilities. In this session, we dive deep into the technical details of each module so you understand how to label and prepare your data, choose an algorithm, train and optimize the model, and make predictions. We also discuss practical deployments of Amazon SageMaker through real-world customer examples. Overflow
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