Join us to hear about our strategy for driving machine learning innovation for our customers and learn what's new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.

AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will dive deep into details about Sumerian so you can see what's under the hood. We will cover creating a project, using the visual state machine, connecting an Amazon Sumerian scene to AWS services, and using a Sumerian Host to add presence to your applications.

AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will introduce you to Sumerian, and how you can build highly immersive and interactive scenes for the enterprise that run on popular hardware such as Oculus Rift, HTC Vive, and iOS mobile devices.

Operating a security practice on AWS brings many new challenges that haven't been faced in data center environments. The dynamic nature of infrastructure, the relationship between development team members and their applications, and the architecture paradigms have all changed as a result of building software on top of AWS. In this session, learn how your security team can leverage AWS Lambda as a tool to monitor, audit, and enforce your security policies within an AWS environment.

As customers put more workloads into AWS, the number of VPCs a customer needs to manage also grows. VPCs can exist across geographically disparate AWS Regions, or run in separate AWS accounts connecting to a common VPC that serves as a global network transit center. This session shows you how to implement a networking construct that AWS calls a transit VPC using the Cisco Cloud Services Router. This network topology simplifies network management and minimizes the number of connections that you need to set up and manage. Even better, it is implemented virtually and doesn't require physical network gear or a physical presence in a colocation transit hub. Come hear why customers are procuring this service through AWS Marketplace and how customers are using the transit VPC for private networking, shared connectivity, and cross-account AWS usage.

In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

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. 

Identity is a foundational element of SaaS design, and getting it right can be challenging. You need a strategy that allows you to connect users to tenants, roles, and policies in a seamless model that doesn't handcuff developers. Fortunately, identity providers and OpenID Connect give us a model that equips SaaS providers with the tools they need to address all the moving parts of SaaS identity. In this session, we dive into the details of how you can use these solutions to build a robust identity solution—a solution that covers binding identities to tenants, supports tenant and system roles, and isolates tenant access. The goal here is to provide a concrete example of how to orchestrate all of these elements of the SaaS identity model on AWS.

Partners increasingly look to a Software as a Service (SaaS) delivery model for products to respond to customer demand, improve operational efficiency, increase agility, and expand market and global reach. AWS provides a low-cost, reliable, and secure foundation to use as you build and deliver SaaS solutions to your customers. The AWS Partner Network (APN) helps you build a successful AWS-based business by providing valuable business, technical, marketing, and go-to-market (GTM) support. In this session, we discuss what a typical journey to SaaS on AWS looks like, and all of the AWS and APN resources and benefits available to you in every stage.

When you move Windows workloads to AWS, it is important to have an Active Directory in the cloud to support group policy management, authentication, and authorization. This session is a deep dive on AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft Active Directory (AD). We cover how the service operates in support of stand-alone directory and trust-based federation use cases. Topics include features that enable you to migrate a broad range of applications to AWS, how to use SaaS applications, such as Office 365, when managing users in AWS Managed Microsoft AD, how to secure trusts when federating to on-premises Active Directory, and security features to help you with your corporate security policies and compliance.

As the nation's only high-speed intercity passenger rail provider, Amtrak needs to know critical information to run their business such as: Who's onboard any train at any time? How are booking and revenue trending? Amtrak was faced with unpredictable and often slow response times from existing databases, ranging from seconds to hours; existing booking and revenue dashboards were spreadsheet-based and manual; multiple copies of data were stored in different repositories, lacking integration and consistency; and operations and maintenance (O&M) costs were relatively high. Join us as we demonstrate how Deloitte and Amtrak successfully went live with a cloud-native operational database and analytical datamart for near-real-time reporting in under six months. We highlight the specific challenges and the modernization of architecture on an AWS native Platform as a Service (PaaS) solution. The solution includes cloud-native components such as AWS Lambda for microservices, Amazon Kinesis and AWS Data Pipeline for moving data, Amazon S3 for storage, Amazon DynamoDB for a managed NoSQL database service, and Amazon Redshift for near-real time reports and dashboards. Deloitte's solution enabled “at scale” processing of 1 million transactions/day and up to 2K transactions/minute. It provided flexibility and scalability, largely eliminate the need for system management, and dramatically reduce operating costs. Moreover, it laid the groundwork for decommissioning legacy systems, anticipated to save at least $1M over 3 years. Session sponsored by Deloitte