AWS re:Invent 2016

In 2004, approximately 400 billion fax pages were sent. Twelve years later, it’s about 4% of that number. The pace of technological change is rapid, but most devices live in the field for 10 to 15 years. It’s hard to maintain competitive value in the face of constant technology improvement, but IoT is changing that. We’ll examine the architectures that allows AWS IoT customers like Pitney Bowes to connect devices to the cloud and enrich the client experience though personalized analytics and recommendations, automated supplies replenishment, and just-in-time self-service.

Jet Propulsion Laboratory is a well-known innovator in outer space, particularly in its search for 'life out there'. JPL is now innovating in the physical space to improve 'life here'. AWS IoT is critical to their innovations. See a re:Invent preview about how JPL, as an early adopter of AWS IoT, has prototyped voice control to ask questions of the room, the budget, or the system. They've also used it for controlling lights and sound to detect cyber security threats, rapid prototyping of robots, low-cost virtual windows to the outside, and much more. The results have been excellent. JPL will demonstrate and talk about these prototypes, including what worked and what didn’t. They will also share the promise integrated serverless computing holds.

In this general session, AWS IoT experts will present an in-depth look at the current state of the Internet of Things. Learn about trends and industry use cases. Hear how other organizations are using AWS IoT to connect devices to the cloud. Explore some of the most recent IoT announcements as we kick off the IoT re:Source Mini Con.

You can now execute Lambda’s almost anywhere – originating in the cloud, and on connected devices with AWS Greengrass. This advanced technical session explores Lambda Functions and what it means to use them across these diverse environments. We will treat the cloud as the ‘brain’, using local Lambda’s for local executions. This way devices can react instinctively, much like the autonomic nervous system, operating in the periphery and responsible for collecting and filtering information, implementing simple and time-sensitive local actions reflexively.

This session will cover common customer implementations and patterns for building connected/smart home implementations with AWS IoT. This includes the end-user experience for onboarding a smart home appliance and then integrating it with the AWS ecosystem (for targeted push notifications, predictive maintenance, and so on). iRobot will join us to discuss their smart home integrations with the Roomba 980 and AWS IoT.

30% of global food produce is wasted in the supply chain: storage, movement, and delivery. By using AWS IOT to enable sensors to manage the supply chain and big data to understand patterns, industrial companies can gain efficiencies in electricity and transportation.

Experience how live virtual 3D worlds rendered with Amazon Lumberyard, a free, cross-platform, 3D game engine, interconnect with IoT devices in the real world. This session will illustrate how AWS IoT can be used to remotely control animate objects with Bluetooth, such as a Sphero robot. By using AWS Lambda and AWS IoT, we will create a bi-directional communication between moving robots that detect collisions and a virtual world rendered in Amazon's game engine. By using AWS IoT with the Alexa Skills Kit and the Amazon Echo, we will learn how to control the physical and virtual robots through voice.

This session discusses the architecture, formation, and usage of a collaborative HPC/big data scientific research and analysis environment on AWS. The pharmaceutical industry trend toward joint ventures and collaborations has created a need for new platforms in which to work together. We'll dive into architectural decisions for building collaborative systems. Examples include how such a platform allowed Human Longevity, Inc. to accelerate software deployment to production in a fast-paced research environment, and how Celgene uses AWS for research collaboration with outside universities and foundations.

Life sciences organizations running regulated workloads in the cloud can move from point-in-space testing of their environment to near real-time testing to achieve continuous compliance with the mandates of auditors and regulation entities. Get deep insights into some of the AWS services used to accomplish continuous compliance such as Amazon CloudTrail, Amazon CloudWatch, AWS Config, Amazon VPC, Amazon S3, and Amazon EC2. Get real-world use cases of how heavily regulated environments within Merck maintain governance and control over a shared environment. We also discuss the automated tools used by Merck to eliminate manual processes and streamline IT management.

For discovery-phase research, life sciences companies have to support infrastructure that processes millions to billions of transactions. The advent of a data lake to accomplish such a task is showing itself to be a stable and productive data platform pattern to meet the goal. We discuss how to build a data lake on AWS, using services and techniques such as AWS CloudFormation, Amazon EC2, Amazon S3, IAM, and AWS Lambda. We also review a reference architecture from Amgen that uses a data lake to aid in their Life Science Research.