AWS re:Invent 2017

With the increasing use of genomic sequencing for scientific discovery, the rate-limiting step for researchers is not in obtaining genetic code, but in having the capacity for storage and computing power to analyze it. In this session, you learn how Eagle Genomics built a cloud platform that uses an open-source workflow engine (eHive), Docker containers to process jobs, and a REST service to manage pipeline runs, all to help customers process genetic sequences up to 20 times faster without additional costs. You also learn how Eagle used Amazon EC2 Spot instances to provide low-cost compute power, and services such as Amazon S3 to power their cost-effective and scalable genetic processing platform.

Implementing stringent security and compliance controls, like GxP, across your enterprise cloud ecosystem, while ensuring the agility of the DevSecOps process requires significant expertise and a lot of time to design, build, and maintain custom operations tooling. In this session, you learn how Turbot used AWS services to simplify IT operations to provide continuous compliance to major life sciences customers. You also hear how life sciences companies like Novartis Institutes for Biomedical Research (NIBR) have become agile, ensured control, and automated best practices using automated policy controls to configure, monitor, and maintain their cloud resources. By doing this, they became more supportive of their researchers' application stack. You also learn how data scientists and core researchers can take advantage of the power of DevOps and cloud computing without compromising enterprise security or data protection requirements.

The Clinical Innovation Labs team at Eli Lilly and Company is leveraging AWS services, design thinking methodology, and co-creation to transform ideas for translating clinical research into real-world solutions. The Eli Lilly "Innovators' Platform" is a rapid prototyping environment that combines patient behavior discovery analysis, art-of-the-possible storyboarding, health device mockup creation, and simulated patient walkthrough analysis. This platform is used to demonstrate the capabilities of emerging technologies and enables participants to contribute ideas to extend the platform. This presentation describes how the team and its processes work together, what components make up the platform, and why it's making an impact on patient health. We discuss the team's use of various AWS services, including AWS Lambda, Amazon API Gateway, AWS IoT, Amazon Cognito, Amazon S3, and AWS Elastic Beanstalk. We also provide demos of what has been built using this platform methodology.

Pharmaceutical company processes tend to be slow when dealing with customer-facing applications that contain FDA-validated messages, all while maintaining infrastructure and security standards.  In this session, discover how Mylan, a US–based global generic and specialty pharmaceutical company, overcame these obstacles and provided scalable solutions by leveraging AWS DevOps methods that lower time to market, while maintaining robust security and release management practices.  During the presentation, learn how Mylan redefined process models such as infrastructure change management to define new security and process models.  Additionally, learn how Mylan used services like Amazon S3, Elastic Load Balancing (ELB), and AWS CloudFormation to define these new models.

AWS Cloud adoption is rapidly taking hold within critical aspects of media business processes. New media and other early adopters have been using the cloud for basic transcoding and streaming for several years. But we have seen a significant increase in media workload adoption across more business-critical and complex workloads in content creation, media supply chain management, and content distribution (e.g., broadcast channel playout, publishing, and OTT). This session includes customer panelists from the visual effects, supply chain, and broadcast industries who now see AWS as the new ”normal” for implementing scalable, performant, and cost-effective media workloads. Hear from top leaders in the Media & Entertainment space about their challenges and lessons learned when migrating core media workloads to the cloud.

Learn how Amazon EC2 Spot and Thinkbox Deadline can make your VFX and CG renders explode off the screen, with minimal effort and low cost. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management service), Thinkbox Marketplace usage-based licensing for flexible render licensing, and Spot for scalable low-cost computing. Learn how to seamlessly integrate your existing production pipeline, as well as advanced asset management, synchronization, and connections to other AWS services such as AWS storage and networking for advanced workflows, including the extension of on-premises render workflows into the cloud and all-in-cloud rendering pipelines. We also highlight a few real-world examples of customers with actual Hollywood productions.

Every evening video streaming consumes over 70% of the internet's bandwidth, with demand only expected to increase as young households forego traditional pay TV for OTT services (whether live, on-demand, ad-supported, transactional, subscription, or a combination thereof). In this session senior tech architects from Netflix, Hulu, and Amazon Video discuss lessons and best practices around hosting largest scale video distribution workloads to enable high traffic consumption at demanding reliability requirements. You will also hear from AWS experts on the latest developments in cloud-based video processing, distribution, and personalization for both live and on-demand streaming.

Turner Broadcasting is using the AWS Cloud to provide storage and content processing required to enable mission-critical video libraries. Turner is creating a copy of CNN's 37-year news video library in AWS to take advantage of the cost and architectural benefits of cloud storage. This project has unique requirements around retrieval times, and Turner partnered with AWS to drive specific capabilities such as those Amazon Glacier expedited and bulk retrieval options.  These cloud-based archives can enable Turner to use other cloud-based value-add services, such as AI/ML/search, and media supply chains efficiently. Turner's global content exploitation strategies call for extensive versioning of content assets required for distribution to different platforms, products, and regions.  Today, this involves complex workflows to derive multiple downstream versions. Adopting the SMPTE Interoperable Mastering Format (IMF) and cloud-based object storage, Turner will dramatically simplify these workflows by enabling cloud-based automation and elastic scalability. Hear Turner's strategy, implementation around these media workloads, and lessons learned.

Security is paramount for media storage and workloads and can directly impact a studio's bottom line. As core media workloads move to the cloud, it's imperative to examine the security implications of a multi-tenant public cloud environment in light of various asset classifications, content production, and delivery scenarios, as well as content handling during production workloads. In this session, we address questions and concerns about security in the cloud in the context of tier-1 (pre-released) studio content, as well as the MPAA. We highlight a studio's journey to meet Marvel's security requirements and run a tier-1 content workflow in the cloud and discuss what it took to approve the environment on AWS.

In this session, we take a pragmatic approach to enhancing common media workflows built around ingest, media asset management, live video, and OTT on-demand streaming. We show how to extract metadata as an additional intelligence layer for video using Amazon AI services, such as Amazon Rekognition, in combination with turnkey architecture built around AWS Lambda, Amazon ECS, and Amazon EC2 Spot Instances. The capabilities offered by Amazon AI services provide a unique opportunity to eliminate the traditional undifferentiated heavy lifting associated with contextual, facial recognition and object-based media metadata creation—that is, who is in with what, and where. We also discuss a large studio and broadcaster just starting to use these intelligent offerings from AWS as they change their method of how to best leverage the business value of their content.