AWS re:Invent 2017

Latest Episodes:

IOT337: Secure Your Edge-to-Cloud IoT Solution with Intel and AWS Dec 01, 2017

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Security is an imperative for any successful IoT deployment. AWS and Intel will showcase their collaboration on IoT security at the edge based on Intel® Zero-Touch Device Onboarding. In this session you will learn how to ensure secure connection back from the edge to AWS cloud, accelerate deployment time for provisioning, and scale solution remotely for customization and management across thousands of devices and end points. Session sponsored by Intel

IOT401: Translating the Promise of IoT into Business Value and Customer Success Dec 01, 2017

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Businesses are looking to transform their processes with IoT, but without business intelligence, customer context, and an accessible platform, it can be difficult to drive value from your IoT deployments. AWS IoT and Salesforce IoT enable you to securely connect a network of devices to your CRM and automate actions based on specific events, lowering operational overhead and increasing revenue. Contextualize device data with insight into who is interacting with your devices, how they're using your products, and more. Build business logic for any device state using clicks, not code. Session sponsored by Salesforce

IOT402: Engineering the IoT at AWS Dec 01, 2017

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In this session, Distinguished Engineer, James Gosling, discusses how AWS innovates in the Internet of Things. James shares stories and experiences in deploying IoT systems, and how AWS thinks of scalability in IoT. In addition, James shares his experiences in engineering Java embedded systems in IoT.

IOT403: NEW LAUNCH! AWS Greengrass and Amazon FreeRTOS: Connectivity and Security at the Edge Dec 01, 2017

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This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases. We will also cover security and authorization across Amazon FreeRTOS and Greengrass.

LFS301: SAGE Bionetworks, the Digital Mammography DREAM Challenge and How AWS Enables Consortium Science to Accelerate Discovery Dec 01, 2017

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DREAM Challenges pose fundamental questions about systems biology and translational medicine. Designed and run by a community of researchers from a variety of organizations, the challenges invite participants to propose solutions, fostering collaboration and building communities in the process. The Sage Bionetworks Synapse platform, which powers many research consortiums including the DREAM Challenges, are starting to put into practice model cloud-initiatives that not only provide impactful discoveries in the areas of neuroscience, infectious disease, and cancer, but are also revolutionizing scientific research by enabling an interactive consortium science platform. In this session, you learn how to build a "consortium model" of research in order to connect research organizations with non-profit organizations, technology companies, biotechnology, and pharmaceutical companies. You can also learn about how to leverage machine learning, Amazon ECS, and R for consortium-based science initiatives.

LFS302: Real World Evidence Platforms to Enable Therapeutic Innovation Dec 01, 2017

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Historically, there has been an information asymmetry in pharmaceutical R&D where the biopharmaceutical companies had the deepest understanding and knowledge about their products and how they helped and interacted with patients. Now, there's new, real-world data that exists from regulators, health plans, government authorities, and patients, which is helping pharma companies to understand how their therapies and their innovations drive value and impact in patient populations. There are imperatives to leverage that data, create new partnerships in their ecosystem, and get access to that data in an ethical way to derive insights to both fuel innovation and drive discovery. In this session, you learn best practices from Deloitte and Celgene about strategy, operating models, and execution frameworks when implementing a real-world, evidence data platform.

LFS303: How to Migrate SAP Applications to AWS While Maintaining Compliance with AWS Dec 01, 2017

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SAP is the predominant mission-critical business software platform for Life Sciences companies. SAP often handles multiple areas of the business including finance, HR, training, manufacturing, and supply chain. In this session, learn from Amgen about how they implemented SAP to comply with Good Manufacturing Practices (GMP), how to avoid unexpected challenges with upgrades, how to structure your project, and best practice approaches when migrating your SAP environment to AWS.

LFS304: Born in the AWS Cloud: How Eagle Genomics Uses AWS to Process Billions of DNA Sequence Reads Dec 01, 2017

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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.

LFS305: Automated Policy Enforcement for Real-time Operations, Security, and Compliance for Life Sciences Dec 01, 2017

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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.

LFS306: How Eli Lilly Leverages AWS as a Clinical Innovation Platform to Change the Patient Experience in Healthcare Dec 01, 2017

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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.

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