Windows Track
|
Optimize Infrastructure and Licensing Costs with AWS 45min
Speaker: Chris Bush, Sales Lead, MS Platform, AWS
Learn more about the cost of migrating applications to the cloud with the AWS Optimization and Licensing Assessment, which gives you visibility of your current IT estate and utilization rates and enables you to visualize potential licensing and infrastructure cost savings.
|
Best Practices for Running Microsoft SQL Server on AWS 45min
Speaker:Alex Zarenin, Senior Solution Architect, AWS Aaron Lima, Senior Solution Architect, AWS
Learn how to optimize the performance of your SQL Server for different application types and reduce licensing costs. Discover how to simplify SQL Server always-on deployments by using fully managed, highly available shared storage to host your databases; and how to reduce complexity and cost using Amazon FSx for Windows Server.
|
Manage Windows on AWS Like a Pro 45min
Speaker: Aaron Lima, Senior Solution Architect, AWS Syed Ahmad, Senior Solution Architect, AWS
Learn how to manage your EC2 Windows workloads on AWS utilizing AWS Systems Manager and Amazon CloudWatch. We will look at how Systems Manager and CloudWatch can reduce complexity while providing full management and insights into your EC2 Windows workloads at scale.
|
AD on AWS to Support Windows Workloads 45min
Speaker: Andy Hopper, Senior Solution Architect, AWS
Learn how to deploy Microsoft Active Directory to support group policy management, authentication and authorization. Explore strategies for Active Directory on Amazon EC2 and AWS Managed Active Directory. Find out how to integrate your on-premises Microsoft Active Directory environment with AWS Cloud, and how to leverage SaaS applications such as Office 365 with AWS Single Sign-On.
|
|
SAP Track
|
AWS: Purpose Built for SAP Customers 45min
Speaker: Fernando Castillo, Head SAP Worldwide Ecosystem and SAP Alliance, AWS
AWS has been supporting SAP since SAP themselves became AWS customers in 2008. Now, more than 5,000 active customers run SAP on AWS. Attend to learn how SAP and AWS are listening to customers and delivering solutions to help them accelerate their SAP transformation on AWS to reduce costs, improve performance, and foster innovation.
|
How Customers Are Getting More Out of Their SAP Investments on AWS 45min
Speaker: Matthew Lobaugh, Global Industry and ISV Partner Lead - SAP Team, AWS
Now more than ever, customers want to get more value from their SAP investments and are looking for examples of how others have achieved this. During this session, we will look at specific SAP on AWS customers and how they are reducing costs, increasing agility, accelerating innovation,getting more value from their data, and extending their SAP applications with advanced services.
|
Deluxe Entertainment: Modernizing a Media Digital Supply Chain Leveraging SAP on AWS 20min
Speaker: Cindy McKenzie, CIO, Deluxe Entertainment Services Group
Learn how Deluxe Entertainment Services moved their financial and BI platforms to AWS to allow seamless integration and leverage core functionalities from SAP for their Deluxe One cloud based platform.
|
Lockheed Martin: How Lockheed Martin Uses SAP HANA to Trawls Its AWS Data Lake 22min
Speakers: Ramesh Krishnan, Product Owner, Lockheed Martin
Steve Morgan, Chief Analytics Architect, Enterprise Operations, Chief Data & Analytics Office, Lockheed Martin
Attend this deep dive on Lockheed Martin's data lake setup and integration with SAP to support the discovery, extraction, and refinement of data for employees across the company.
|
NBCUniversal: Welcome to "the ROC" - The story of NBCUniversal's SAP Journey To The Cloud 18min
Speaker: Liz Michaud, SVP/CIO, NBC
Hear lessons learned as NBCUniveral migrated their SAP landscape representing over 96,000 users and an 80TB+ database to AWS, reducing system size by 83%, TCO by 23%, and average user response time by 40%.
|
|
Track 3
|
Get Started with Amazon SageMaker: Build, Train, and Deploy Machine Learning Models in the Cloud (200 Level)
Speaker: Shyam Srinivasan Many organizations are using machine learning (ML) to address a host of business challenges, from product recommendations to demand forecasting. Until recently, developing these ML models took considerable time and effort, and it required expertise. In this session, we dive deep into Amazon SageMaker, a fully managed service from AWS that enables developers and data scientists to build, train, and deploy ML models quickly and easily, and at scale. We will discuss the features and benefits of Amazon SageMaker to get your ML models from concept to production.
|
Break
|
Remove Your Biggest Challenge to Getting Started with ML: Using Amazon SageMaker Ground Truth to Label Data at 70% Less Cost (200 Level)
Speaker: Emily Webber Successful machine learning models are built using high-quality training datasets. Labeling raw data to get accurate training datasets involves time and effort because sophisticated models can require thousands of labeled examples to learn from before they can produce good results. Hear how Amazon SageMaker Ground Truth will help you build highly accurate training datasets for machine learning quickly. Amazon SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by up to 70% using automatic labeling. This is achieved by training Ground Truth from data labeled by humans so that the service learns to label data independently over time, leading to highly accurate training datasets.
|
Break
|
Learn to Build What's Next with Reinforcement Learning on Amazon SageMaker (200 Level)
Speaker: Sunil Mallya Reinforcement Learning (RL) is an exciting new area within machine learning that enables development of many intelligent applications such as robotics, autonomous vehicles, energy management, financial portfolio management, and many more. With RL, machine learning models can achieve specific outcomes without the need for pre-labeled training data. Dive deep into Amazon SageMaker RL, which takes a different approach to training machine learning models. We will start with the basics of RL and proceed with modeling a simulation environment to represent real-world problems. We will train RL models in this environment and tune them to obtain the required results. The session will end by showcasing AWS DeepRacer as a practical and fun application using RL models.
|
|
Duration: XX mins
Track 2
|
ENTER SESSION 4A ABSTRACT HERE
|
ENTER SESSION 4B ABSTRACT HERE
|
ENTER SESSION 4C ABSTRACT HERE
|
|
Duration: XX mins
Track 5
|
ENTER SESSION 5A ABSTRACT HERE
|
ENTER SESSION 5B ABSTRACT HERE
|
ENTER SESSION 5C ABSTRACT HERE
|
|
Duration: XX mins
Track 6
|
ENTER SESSION 6A ABSTRACT HERE
|
ENTER SESSION 6B ABSTRACT HERE
|
ENTER SESSION 6C ABSTRACT HERE
|
|
Duration: XX mins
Track 7
|
XX mins
ENTER SESSION 7A ABSTRACT HERE
|
XX mins
ENTER SESSION 7B ABSTRACT HERE
|
XX mins
ENTER SESSION 7C SESSION ABSTRACT HERE
|
|
Duration: XX mins
Track 8
|
ENTER SESSION 8A ABSTRACT HERE
|
ENTER SESSION 8B ABSTRACT HERE
|
ENTER SESSION 8C ABSTRACT HERE
|
|
Duration: XX mins
Track 9
|
ENTER SESSION 9A ABSTRACT HERE
|
ENTER SESSION 9B ABSTRACT HERE
|
ENTER SESSION 9C ABSTRACT HERE
|
|
Duration: XX mins
Track 10
|
ENTER SESSION 10A ABSTRACT HERE
|
ENTER SESSION 10B ABSTRACT HERE
|
ENTER SESSION 10C ABSTRACT HERE
|
|
Duration: XX mins
Track 11
|
ENTER SESSION 11A ABSTRACT HERE
|
ENTER SESSION 11B ABSTRACT HERE
|
ENTER SESSION 11C ABSTRACT HERE
|
|
Duration: XX mins
Track 12
|
ENTER SESSION 12A ABSTRACT HERE
|
ENTER SESSION 12B ABSTRACT HERE
|
ENTER SESSION 12C ABSTRACT HERE
|
|