Category: Analytics

Introduction to generative AI Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in non-traditional computing tasks like image recognition, natural language processing (NLP), and translation. It is supported with a very large […]

In a 2021 study done by ASUG and Pillir, the average annual spend to maintain the most valuable SAP custom code was $800,000. For 37% of organizations, this represents up to 50% of their annual IT spend. At the same time, 91% of SAP users rely heavily on SAP Custom code to run their mission […]

Introduction Enterprise applications generate a lot of data. Analyzing this data helps stakeholders make informed decisions. Enterprises use AI/ML for automating business processes, finding patterns at scale, and more. SAP is one of the most extensively used ERP solutions for different industries of varied scales and complexities. SAP systems are often integrated with external systems […]

This post was jointly authored by the following individuals from AWS: Pavol Masarovic, EMEA Principal SAP Innovation Architect  Allison Quinn, Senior Analytics Solutions Architect Australia and New Zealand Peter Perbellini, Head of APJ Solutions Architecture, ERP on AWS Introduction At AWS, we commonly hear from customers that they are looking to not only move their […]

Customers continue to choose Amazon Web Services (AWS) for their mission-critical SAP applications due to our secure, extensive, and reliable global infrastructure, our wide selection of SAP-certified Amazon Elastic Compute Cloud (Amazon EC2) instance types, our unmatched experience supporting SAP customers in the cloud, and the track record of success of our AWS Partner Network […]

Introduction Gartner found that nearly 97% of data sits unused by organisations, and more than 87% of the organisations are classified as having low maturity levels in terms of business intelligence and analytics capability. This capability deficit could severely restrict a company’s growth and introduce risk to its existence as it cannot reinvent itself. Every […]

Introduction Our customers increasingly want to combine their SAP and non-SAP data in a single data lake and analytics solution to bridge siloed data and drive deeper business insights. Last year, we launched the Amazon AppFlow SAP OData Connector to make it easier for customers to get value out of SAP data with AWS services. […]

Introduction At AWS, we commonly hear from customers that they are looking to not only move their SAP systems to the cloud, but transform the way they use data and analytics capabilities within the organisation. Furthermore, they want to combine the SAP data with non-SAP data in a single data and analytics solution on AWS. […]

Machine learning is increasingly becoming a core part of the digital transformation. It helps companies recognize patterns at scale and find novel ways to delight customers, streamline operations, or help make a product successful in a competitive marketplace. In practice, when you build an architecture based on machine learning, you need to understand the data, […]

With more than 5,000 active customers running SAP on Amazon Web Services (AWS), AWS has become the de facto cloud platform for SAP workloads. For years, customers have chosen AWS for their mission-critical SAP applications due to our high-performance, cost-effective global infrastructure, wide variety of Amazon EC2 instance types certified for SAP, and extensive experience […]