AWS re:Invent 2017

Migrating mission-critical SAP workloads to AWS allows enterprises to realize business benefits quickly and securely without a significant upfront investment. Today, customers are turning capital expense into operating expense at a record pace and are accelerating business processes and efficiency for less than the cost of a week at a beach resort. Learn how other SAP customers are removing risk and testing their SAP migrations and upgrades for low cost to jumpstart their SAP projects for low cost.

Learn how SAP customers are running mission-critical workloads on AWS. An amazing number of enterprise customers are moving their entire SAP landscapes, including production environments, to AWS to increase business agility and reduce costs. British Petroleum, Kellogg's, and Lionsgate are examples of enterprise customers running their core businesses on AWS today. Learn how we guide Fortune 50 companies as they rapidly adopt emerging technologies and accelerate greater innovation with the AWS Cloud.

Join this session to learn why you should join the AWS Partner Network (APN). Hear best practices to take advantage of all that the APN has to offer.

As customers move to the cloud and become more agile, their expectations around the speed and efficiency of software procurement and fulfillment are increasing as a result. Consulting partners that deliver advisory, professional, and managed services to customers need to be able to purchase and deploy the required software solutions in days, not weeks. In this session, we explore how the software channel is evolving, including the economic and business forces that are creating change. This session benefits business leaders at Consulting Partners and ISVs, both partners new to AWS and existing partners, who will learn about AWS Marketplace's unique approach to enabling this evolution.

AWS Marketplace helps customers migrate their workloads to AWS through a variety of ISV solutions and aids and accelerates the journey to the cloud. AWS Marketplace provides the tools and software for each step of the migration process and post-migration to sustain a cloud operating model. In this session, we explore the various stages of migration into AWS, common challenges that exist in each stage, and how AWS Marketplace helps our customers address some of these challenges.

Companies around the world are looking at using artificial intelligence and machine learning to launch new innovative products and services and to drive efficiencies via automation in their businesses. Come to this session to understand why you should consider building an AI/ML practice in your consulting company. Learn the importance of having strong data engineering skills, including data annotation, and get some tips on building a data science team that can deliver customer projects.

How does a practice become a "best" practice? How does a pattern become an "anti" pattern? As always, experience is the best teacher. As Partner Solution Architects, we receive a lot of partner feedback on how practices and design patterns work—and occasionally fail to work—in the real world. We use this feedback to inform our recommendations and reference architectures. In this session, we explore a representative set of real-life "failures." We look at what these failures have to teach us about design and how to prioritize remediation of known issues.

For many, Blockchain has been a black box with little standardization on how to use the technology. The need to understand a multitude of protocols, consortiums, and services, along with their strengths and weaknesses, makes it difficult to select the best option for individual use cases. The lack of technical maturity leads to an uneasiness within the community that can negatively affect adoption. With our new partnerships, along with Intel, this panel discusses technology drivers that are pushing standards forward and accelerating the adoption of Blockchain in the AWS enterprise space. Come join us for a closer look at what Blockchain is doing for several industries and their use cases.

You've gotten up and running with containers, and now you're trying to understand how to take them to production. In this session, we deep-dive into tools that help you build and manage development and production clusters. We explore CI/CD pipelines that test your code and scan for vulnerabilities, use Docker multistage builds to efficiently use resources, monitor your network, debug issues in development, and monitor your applications as they go to production.

Financial services companies are using machine learning to reduce fraud, streamline processes, and improve their bottom line. AWS provides tools that help them easily use AI tools like MXNet and Tensor Flow to perform predictive analytics, clustering, and more advanced data analyses. In this session, hear how IHS Markit has used machine learning on AWS to help global banking institutions manage their commodities portfolios. Learn how Amazon Machine Learning can take the hassle out of AI.