AWS re:Invent 2017

In this session, we present AWS IoT and Amazon Machine Learning (Amazon ML) to demonstrate how you can use these services together to build smart applications. Customer SKF presents their use case around AWS IoT and Amazon ML in their wind turbines.

This session covers best practices for using the AWS IoT rules engine when implementing routing, validation, or augmenting of messages that are sent through AWS IoT. In addition to best practices, AWS partners and customers discuss how the AWS IoT rules engine creates unique use cases to process and inspect data in real time.

If you have a large fleet of IoT devices join us. We will introduce you to a new service called AWS IoT Device Management. It makes it easy for OEMs, enterprises and integrators to securely manage connected devices throughout their lifecycle: from initial setup through software updates, to retirement. We will show you how customers enroll and authenticate their devices in bulk, organize their fleets, manage permissions, remotely manage and update device software, and monitor the performance of their products. Customers already using the service will show how they have used IoT Device Management to create an IoT solution spanning multiple industries and use cases.

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

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

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.

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.

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.

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.

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.