Book Image

RISE with SAP towards a Sustainable Enterprise

By : Adil Zafar, Dharma Alturi, Sanket Taur, Mihir R. Gor
Book Image

RISE with SAP towards a Sustainable Enterprise

By: Adil Zafar, Dharma Alturi, Sanket Taur, Mihir R. Gor

Overview of this book

If you’re unsure whether adopting SAP S/4HANA is the right move for your enterprise, then this book is for you. This practical and comprehensive guide will help you determine your next steps toward building a business case, while preparing you for all the possible scenarios and enabling you to make informed decisions during implementation. RISEwith SAP toward a Sustainable Enterprise is packed with clear and detailed advice, including a run-through of what it takes to design the landscape using RISE with SAP. As you go through the chapters, you’ll get a solid understanding of precisely what services are available (such as Process Discovery, data migration, the fit-to-standard approach), and which scope items on RISE with SAP should be considered, allowing you to make the most of RISE with the SAP-based model. Finally, you’ll get an overview of different industry-based use cases and how they can be brought to reality with the platform that’s set up on the RISE with SAP offering. By the end of this book, you’ll be able to build a detailed business case to determine if RISE with SAP is the right transformation engine for you, along with a clear idea of optimized landscape design on RISE with SAP that addresses the pain points for your implementation and support activities.
Table of Contents (18 chapters)
1
Part 1: Overview
5
Part 2: The Journey with RISE with SAP
11
Part 3: The Way Forward: The Art of Possible

The AI fabric

Delivering intelligent workflows requires an AI strategy at the core and platforms that enable you to deliver it. AI should always complement humans so that the synergy delivers quick outcomes. This means augmented intelligence and leveraging human expertise to develop it further, helping a workforce to focus on the tasks that add the most value and delegating the commodity tasks to the automation factory as part of the intelligent workflow. And once the AI fabric is trained enough to automate itself, the experts will monitor these workflows as yet another arm of the workforce they manage as a supervisor.

The AI fabric can be loosely defined as it relates to orchestration, with fabric relating to things working together, and there are four key threads: engagement, learning, reasoning, and doing, as depicted in the following figure. The application of AI for the interaction of humans with machines. The use of AI to learn from the patterns and then reason with what has...