Join AWS experts and customers for a virtual event exploring the latest services, solutions, and innovations for media & entertainment across content production, OTT media streaming and direct-to-consumer experiences, broadcast, media supply chain & archive, and data science & analytics. View the full event agenda below and sign up to reserve your seat

Create Anywhere. Produce Faster. Deliver Everywhere.


With rapid changes and transformation occurring across the media and entertainment industry, companies are reinventing how they create content, optimize media supply chains, and compete for audience attention across platforms. Join AWS experts and customers for a virtual event exploring the latest services, solutions, and innovations for media and entertainment across content production, media supply chain & archive, direct-to-consumer & streaming, broadcast, and data science & analytics.

The event will kickoff with a keynote presentation followed by four breakout tracks covering 12 topics. View the full event agenda below and sign up to reserve your seat.

Wednesday, June 23, 2021 | 3 hours 30 minutes | Event is now closed


Event Agenda

50 mins Opening Keynote: AWS for Media & Entertainment
Breakout Tracks Content Production Media Supply Chain
& Archive
Broadcast Direct-to-Consumer (D2C)
& Streaming
40 mins Creating Movies in the Cloud: A Reflection from Global Creatives Five Tips for Optimizing Your Media Supply Chain Up Next: Cloud Trends from the World of Broadcast Deploying Monetization for D2C & Streaming Media
40 mins Introducing Amazon Nimble Studio for Content Creation Leveraging AWS to Engage and Entertain Millions of K-pop Fans Worldwide Driving Fan Engagement in Sports Capturing Audience Attention Through Interactivity, Personalization, and Digital User Engagement
40 mins Picture, Color, and Sound: Enabling Editorial in the Cloud Maximize Media Archive Value with AWS Storage and AI Solutions Live Video Workflows on AWS: To Compress or Not Compress? Operational Excellence in Live Streaming: Delivering Flawless Streams to Millions of Viewers

Session Abstracts
Learn more about the sessions in each track below:

AWS for Media & Entertainment

AWS for Media & Entertainment brings together services and solutions from AWS and AWS Partners – built specifically for content creators, rights holders, producers, broadcasters, and distributors – to help customers transform content production, media supply chain, broadcast, direct-to-consumer & streaming, and data science & analytics. Join AWS leaders Eric Iverson, Chief Technology Officer for the AWS M&E Global vertical, and Kyle Roche, Head of Content Production Tech, as they dive into the AWS for Media & Entertainment initiative, our five M&E Solution Areas, and the newly released AWS service Amazon Nimble Studio.

Session 1: Creating Movies in the Cloud: A Reflection from Global Creatives

Lessons learned from the work of four filmmakers who, in the midst of the pandemic, shot on location in London, Dubai, Ulaanbaatar (Mongolia), Mexico City, Brisbane, and Hollywood to redefine creative, connected, remote, and collaborative cloud-based workflows.

Session 2: Introducing Amazon Nimble Studio for Content Creation

Join Haley Kannall, CG Supervisor, Content Production Tech at AWS to learn more about Amazon Nimble Studio, a new service that empowers creative studios to produce visual effects, animation, and interactive content entirely in the cloud. Find out how you can rapidly onboard and collaborate with artists globally, and create content faster, with access to virtual workstations, high-speed storage, and scalable rendering across AWS’s global infrastructure. We will provide an overview of the service and an in-depth demonstration of Nimble Studio in action.

Session 3: Picture, Color, and Sound: Enabling Editorial in the Cloud

Want to scale your cloud editing production in the cloud? This session explains how creative professionals move media to the cloud, produce, edit, and scale production operations utilizing AWS services. Attendees will also learn about our new AWS offerings and how to best determine which of our prescriptive solutions are best for your production needs.

Session 1: Five Tips for Optimizing Your Media Supply Chain

The supply chain is the backbone of any media workflow, defining everything from initial capture to the final viewing experience. Every step must be carefully planned to optimize processes and performance. This session offers a deep dive into media supply chains on AWS, with five tips on industry standard approaches and AWS tools to help you revolutionize your media workflows.

Session 2: Leveraging AWS to Engage and Entertain Millions of K-pop Fans Worldwide

Korean popular music, or K-pop, has become a global entertainment phenomenon. In this session we discuss how two AWS customers are bringing K-pop stars closer to fans. First, learn how the fan engagement platform 'Weverse', with 22 million members in 233 countries and regions, leverages AWS AI services to break language barriers and enable communication between artists and their fans. Then learn how tech startup Kiswe, which hosted the world’s largest paid online concert in October 2020, built a highly scalable and reliable live media production platform on AWS.

Session 3: Maximize Media Archive Value with AWS Storage and AI Solutions

Media companies store thousands of hours of audio and video content on aging, expensive, inflexible, and proprietary hardware. The Media2Cloud solution from AWS migrates, analyzes, and stores your content using Amazon Machine Learning for metadata creation and Amazon S3 Glacier for secure, durable, and low-cost storage. In this session, learn how to simplify the migration of digital content to the cloud and drive value from your storage strategy with an intelligent, proactive approach to content reuse and monetization.

Session 1: Up Next: Cloud Trends from the World of Broadcast

This three-segment session explores latest trends in broadcast workflows in the cloud as Worldwide Broadcast BD lead Peter Riordan shares what AWS is hearing from customers about the challenges and opportunities in broadcast migration. Next, M&E Business Development Leader for Global Accounts Jamie Duemo explores explores how Amagi is solving Free Ad-Supported Television (FAST) workloads. In closing, North America BD lead Aaron Tunnell reviews how customers can migrate using the Harmonic VOS®360 platform.

Session 2: Driving Fan Engagement in Sports

As live sports expands across broadcast and direct-to-consumer (D2C) delivery models, media companies are finding new opportunities to create differentiated viewing experiences that drive audience engagement and fan loyalty. This session reviews the latest trends in sports media and discusses how industry leaders are building connections with fans with personalized and interactive content, and unlocking paths to innovation and monetization with dynamic, data-driven D2C services from live production through distribution.

Session 3: Live Video Workflows on AWS: To Compress or Not Compress?

Broadcasters face an array of considerations as they plan to move to AWS Cloud. This session explores the paths broadcasters can follow to build live media workflows on AWS and ensure their content is delivered seamlessly across all applications, including the choice between compressed or uncompressed streams.

Session 1: Deploying Monetization for D2C & Streaming Media

Learn how to apply a range of monetization approaches for direct-to-consumer and streaming offerings. Attendees will learn the state of the art in subscriptions, advertising, as well as new monetization and commercialization models, and how to implement them with AWS Solutions and AWS Partners.

Session 2: Capturing Audience Attention Through Interactivity, Personalization, and Digital User Engagement

Entertainment options for audiences are increasing, but audience attention remains a limited resource that all creators seek to attract. When audiences do choose to engage with your platforms, how can you reduce churn and increase engagement? Join Senior Solutions Architects Liam Morrison and Shawn Przybilla to learn how you can leverage AWS Media Services, machine learning, and digital user engagement tools to keep audience attention focused on your unique experiences.

Session 3: Operational Excellence in Live Streaming: Delivering Flawless Streams to Millions of Viewers

It’s game day! Learn how some of the largest live streaming events in the world are being delivered to millions of viewers using AWS. Featuring AWS Marketplace partner Mux, this session explains how quality-of-experience (QoE) data can be applied to deliver the highest possible quality streams to viewers on a massive scale.

Session Details

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Track1 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track2 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

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Featured Speakers

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

Q: Where is AWS for Media & Entertainment Virtual Symposium hosted?

A: AWS for Media & Entertainment Virtual Symposium is scheduled to air June 23, 2021. Upon registration, you will be able to view all sessions live beginning June 23, 2021 at either 8:00AM PT/4:00PM BST or 10:00AM IST/12:30PM SGT dependent on which event you are registered for.

Q: Who should attend AWS for Media & Entertainment Virtual Symposium?

A: Registration is open to all professionals across content production, media, entertainment, and video technology.

Q: What is the price of attending AWS for Media & Entertainment Virtual Symposium?

A: AWS for Media & Entertainment Virtual Symposium is a free to attend online event.

Q: Can I get a confirmation of my AWS for Media & Entertainment Virtual Symposium registration?

A: Upon completing the online registration process, you will receive an email with more information on how to complete your registration.

Q: How can I contact the online conference organizers?

A: If you have questions that have not been answered in the FAQs above, please contact us at [email protected]

Q: What if I can’t make it to the live sessions?

A: Following the live conference, sessions will be made available on-demand to registered attendees. Be sure to register in advance so you can access them!