NextGen Infrastructure - eBook (EN)

GC-800_ENT-NGI_Infographics-revised

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Reimagine your enterprise applications with AWS 1. "The State of Cloud In North America", Forrester press release, 2022 2. "Deloitte US Future of Cloud Survey", Deloitte report, 2022 3. "2023 State of the Cloud", Flexera report, 2023 4. "2023 State of the Cloud", Flexera report, 2023 5. "Gartner, Magic Quadrant for Cloud Infrastructure and Platform Services", 19 October 2022, Raj Bala Et Al Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Artificial Intelligence (AI) and Machine Learning (ML) applications Windows based applications Enterprise customers have been running Microsoft workloads on AWS for over 12 years, longer than any other cloud provider AWS offers the best infrastructure for Windows Server and SQL Server for higher performance and reliability, greater security and identity services, more migration support, the broadest and deepest capabilities, lower total cost of ownership, and flexible licensing options. With years of experience and proven expertise, AWS can help you seamlessly lift-and-shift, refactor, and modernize your Windows workloads. Financial applications Financial service firms are migrating to AWS to increase security, performance, efficiency, and innovation Financial service firms around the world innovate, modernize, and transform with AWS. AWS delivers the most stringent security requirements, greatest breadth and depth of services, deep industry expertise, and an expansive partner network. With AWS, financial companies from banks to insurance agencies can launch customer-facing applications, automate manual back- office processes, analyze huge datasets with grid computing, run complex financial simulations to manage risk, and maximize ROI. Gartner recognized Amazon Web Services as a Magic Quadrant Leader for Cloud Infrastructure and Platform Services for the 12 th straight year. 5 Enterprise resource planning (ERP) applications Get more flexibility and value out of your SAP investments with the world's most secure, reliable, and extensive cloud infrastructure The wide range of services available on AWS allow you to run your ERP applications with exceptional security, availability, and scalability out-of-the- box. This increases the speed of innovation, helping you to easily transform your business. Whether you're looking to lift and shift legacy SAP workloads or modernize on S/4 HANA as part of a broader digital transformation, AWS has the tools and technology needed to accelerate your migration and transformation with over 5,000 customers currently running SAP on AWS. What do enterprises want to achieve? It's time to unlock new efficiencies and innovation for your enterprise workloads. Discover how AWS can help you migrate and modernize your applications for increased security, performance, scale, and resilience at lower costs. Top of mind for enterprise leaders 64% 89% of US decision-makers at enterprises, cite modernization as a top IT/operations priority for next 12 months. 1 of respondents state increasing efficiency and agility as a core business strategy objective. 2 79% 82% of enterprises say security is a key challenge. 3 of enterprises state managing cloud spend is a top priority. 4 Growth Scale and grow business with new and existing products. Business resilience Drive operational efficiency and ensure business continuity. Innovation Invent and deliver differentiated customer experiences. Innovate faster with the most comprehensive set of AI and ML services Gain deeper insights from your data, lower costs, and innovate with confidence. AWS offers the most comprehensive set of AI and ML, infrastructure, and implementation resources to help you at every stage of your adoption journey. Join more than 100,000 AWS customers building on 20+ years of experience at AWS and address common business problems to improve customer experience, optimize business processes, and accelerate innovation. Prevalent enterprise applications running on AWS Why run your applications on AWS? Millions of customers, including large global enterprises, government organizations, and startups trust the capabilities, reliability, and security of AWS to run their most important applications, including mission-critical, enterprise, and cloud native applications, as well as the next generation of applications they need to accelerate their digital transformation. The most secure and reliable cloud for your applications AWS offers significantly more security, compliance, and governance capabilities than any other cloud provider so you can build and run your applications with confidence. Best value and performance from your infrastructure AWS continuously innovates to deliver the highest performance at lowest costs. With a broad range of services, purchasing options and tools to drive efficiency and cost optimization, you can save money and do more with less. AWS infrastructure and services wherever you need it With AWS, you can use the same infrastructure, services, and tools to build and run your applications wherever you need them – in the cloud, on-premises or at the edge. The most capabilities for your applications - today and tomorrow AWS offers the broadest and deepest choice of compute and storage, the fastest networking, broadest portfolio of databases, and over 200 services to build and run any type of application. Success story Nissan in Europe realized that the recovery times for its on-premises SAP system were too long. They also recognized the need to make changes in their data center, so they could manage the huge volumes of data involved in tracking the development costs of new vehicles. They migrated their SAP system onto Amazon Elastic Compute Cloud (Amazon EC2) instances. The migration included their SAP ERP central component application servers and database, and several important business intelligence instances. 63% improvement in SAP processing times Migrate and modernize your enterprise applications on AWS Learn more about AWS for Every Application › Migrate your applications to AWS › Success story Nasdaq needed to migrate their mission-critical equities and options markets to the cloud, requiring the underlying infrastructure to be hyper-scalable, ultra-resilient, and highly performant. They deployed their US equities and options markets on a co-designed edge compute solution using AWS Outposts. This resulted in end-to-end order-to-trade process to occur in low double-digit microseconds with a 10 percent performance improvement in network latency, creating a cloud migration blueprint for 130+ markets infrastructure customers. 10% performance improvement in round trip latency Move to AWS to innovate, save costs, and drive operational efficiency. Build, run, and scale virtually any application your enterprise needs. Success story By 2018, World Fuel Services (WFS) had accumulated 22 data centers through business acquisitions, many running Windows and Microsoft SQL Server workloads. The high cost of operating these autonomous legacy systems prompted a need to modernize technology, consolidate data centers, and reduce costs. WFS moved their legacy Windows workloads out of 20 datacenters to cut monthly costs by 50 percent and avoided an additional 70 percent increase of expenditure in 2020. 50% reduction in monthly costs Learn how to select and configure your infrastructure for common ML use cases, read the Propel 4 Common Machine Learning Use Cases into Production eBook. Success story Natural language processing (NLP) company Finch Computing uses machine learning to help customers gain near-real-time insights from text. Finch needed to fulfil customers' requests to support additional languages efficiently. With AWS, Finch has a scalable solution that can grow to support global data feeds with the ability to iterate new language models cost-effectively, and fast. Using AWS Inferentia (Amazon EC2 Inf1 instances), Finch has accelerated its time to market and supports three additional languages. 80% reduction in costs compared to using GPUs Get started today

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