Describing SAP Business AI

Objectives

After completing this lesson, you will be able to:

  • Describe Artificial Intelligence (AI) in scope of SAP BTP.
  • Analyze SAP Business AI.

Artificial Intelligence - Introduction

You can utilize artificial intelligence through services running on top of the SAP BTP and making your projects more innovative and flexible to solve complex business problems. You run AI built on leading ethics and data privacy standards while maintaining full governance and lifecycle management across your entire organization. SAP offers multiple products including artificial intelligence. These are the AI integrated business processes and solutions. In addition, there are more standalone software solutions utilizing artificial intelligence:

SAP AI Services
Automate business processes to enrich the customer experience by using SAP AI Business Services.
SAP AI Launchpad

SAP AI Launchpad is a multitenant software as a service (SaaS) application in SAP Business Technology Platform. Customers and partners can use SAP AI Launchpad to manage AI use cases (scenarios) across multiple instances of AI runtimes (such as SAP AI Core).

SAP AI Core

SAP AI Core is a service in the SAP Business Technology Platform which is designed to handle the execution and operations of your AI assets.

SAP HANA Cloud

SAP HANA Cloud embeds several machine learning libraries, designed and optimized for massive parallel in-memory processing. There are two major components available within SAP HANA Cloud, which can be used for machine learning:

  • PAL – Predictive Analysis Library
  • APL – Automated Predictive Library

The Vector Engine in SAP HANA Cloud enhances Generative AI by using retrieval-augmented generation and embedding vectors for context. This could, as an example, aid a retailer in understanding customer buying patterns drawn from sales data. It refines large language models by obtaining current facts from an external knowledge base and offers insight into the generative processes. It also conducts vector searches and integrates these results with other SQL operations.

SAP Datasphere
SAP Datasphere serves as a central hub for gathering and processing data from various sources. By using AI, it not only simplifies sorting and analyzing this data, but also constantly learns to predict trends, for instance, foreseeing customer preferences based on their past behavior, saving substantial time and effort.

Read more at this blog post: https://blogs.sap.com/2021/09/28/using-machine-learning-capabilities-with-sap-hana-cloud/ or in the official documentation: https://help.sap.com/docs/HANA_CLOUD/db19c7071e5f4101837e23f06e576495/502e458a260d4445810e6b9094c5b7e7.html?locale=en-US

Learn more at: Artificial-Intelligence

In addition to that, SAP wants to solve complex business problems with artificial intelligence in a responsible and ethical way. Learn more here: https://www.sap.com/germany/products/artificial-intelligence/ai-ethics.html

SAP Business AI

AI integrated into business processes and solutions; Intercompany reconciliation; Sales order automation; SAP Cash Application; Workflow intelligence; Digital assistant; Personalized learning recommendations; Intelligent expense scanning; Automatic invoice processing; Product and pricing recommendations; Returnable packaging management;

SAP offers several scenarios where Artificial Intelligence (AI) is integrated into business processes and existing SAP solutions. Therefore, you can make use of some of the positive effects of SAP Business AI without using an additional SAP solution. You can optimize every aspect of your business with AI-powered insights, recommendations, and automation immediately. In addition to integrating AI into its operations, SAP is leveraging the capabilities of generative AI. By tuning it with business data and processes, typically generic results can be customized to suit specific business needs. These enhancements, which include for example creating natural language queries and generating job descriptions or process models, are built into everyday business applications. This development remains in line with SAP's standard AI principles, with humans retaining oversight over generated information.

You can enhance the four main business processes of an intelligent, sustainable enterprise through using integrated AI scenarios. Transforming your recruit-to-retire process with SAP AI to closely connect the employee experience to your organization’s business objectives and improve all activities involving recruiting, career development, travel expenses, retention, and offboarding can be done with integrated capabilities such as:

  • Intelligent staffing analysis in SAP S/4HANA.
  • Intelligent résumé screening in SAP Fieldglass.
  • learning recommendations in SAP SuccessFactors.
  • and more.

Transform your lead-to-cash process with SAP AI – from the first marketing contact to post-purchase service and every touch point in between. Improve all activities related to marketing, sales, customer service, order fulfillment, service delivery, invoicing, and accounts receivable through integrated functions such as:

  • Intelligent performance predictions in SAP S/4HANA.
  • Opportunity scoring in SAP Sales Cloud.
  • AI intrusion detection in SAP Customer Data Cloud.
  • and more.

Transform your design-to-operate process by using SAP AI to streamline manufacturing and strengthen product lifecycle management (PLM). With SAP AI, you can improve all activities related to identifying, acquiring, designing, prototyping, and decommissioning products or services with capabilities such as:

  • Accurate delivery date predictions in SAP S/4HANA Cloud
  • Emissions forecasting in SAP S/4HANA Cloud
  • Visual inspections in SAP Digital Manufacturing Cloud
  • and more.

Transform your source-to-pay process with SAP AI to gain enhanced visibility and transparency into the entire supply chain. Improve all activities related to managing sourcing and procurement, including planning, spend management, contracting, procurement, supplier payment, and collaboration with AI powered functions such as:

  • New supplier recommendations in SAP Ariba.
  • Predictive analytics for contract consumption in SAP S/4HANA Cloud.
  • Automated data enrichment in SAP Ariba.
  • and more.

As you can see, there are lots of capabilities which utilizes artificial intelligence in the existing portfolio of SAP solutions. You can learn more about Business AI and AI integrated scenarios here: https://www.sap.com/products/artificial-intelligence.html

https://learning.sap.com/learning-journeys/exploring-the-sap-business-ai-portfolio-1

Key Takeaways Of This Lesson

The strategy of SAP is to include artificial intelligence into existing SAP products and technologies. You can use AI-based predictions in the SAP Analytics Cloud, for example. As a possible early adopter of artificial intelligence, you can bring a positive advantage over your competitor – using such technologies and products may make you an innovator in your field.

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