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What is Artificial Intelligence?
In simple terms, Artificial Intelligence (AI) refers to systems or solutions that can replicate human decision-making capabilities. These solutions often leverage a combination of software and hardware to mimic human capabilities like problem -solving and decision making.
AI Enabled Applications in SAP Portfolio
SAP applications leverage AI and ML algorithms extensively to either embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, or allow data scientists and ML engineers to build advanced ML models and solutions. SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful in-built tool is the Predictive Analytics Library (PAL). SAP data intelligence has a rich ML content library. Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced Machine Learning (ML) algorithms. While ML algorithms have many applications, predictive analytics remains a key one.
What is Artificial Intelligence?
In simple terms, Artificial Intelligence (AI) refers to systems or solutions that can replicate human decision-making capabilities. These solutions often leverage a combination of software and hardware to mimic human capabilities like problem -solving and decision making.
AI Enabled Applications in SAP Portfolio
SAP applications leverage AI and ML algorithms extensively to either embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, or allow data scientists and ML engineers to build advanced ML models and solutions. SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful in-built tool is the Predictive Analytics Library (PAL). SAP data intelligence has a rich ML content library. Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced Machine Learning (ML) algorithms. While ML algorithms have many applications, predictive analytics remains a key one.
On the business processes side, SAP AI offering promises to infuse transformative intelligence to all key business processes areas like lead to cash, design to operate, source to pay and recruit to retire. AI algorithms help include innovative features across all these processes.
Key Considerations for SAPinsiders
- Develop a fundamental understanding of AI algorithms: Explore what specific algorithms are available and understand where they can be leveraged. This will help you get optimal value from these tools. As an example, you should be aware that you can use clustering algorithms for customer segmentation. Here is an example of a good overview of critical algorithms used in SAP applications.
- Understand the limitations of underlying data infrastructure: Understanding aspects of the underlying database is also critical. This helps you build pragmatic models. As an example, HANA has a 2 billion rows limitation, and hence you may have to leverage partitioning of tables for data larger than that. This impacts your model development as well.
- Understand the limitations of tools available: Understanding the ML tools’ limitations is another aspect that saves you a lot of pain. For example, some PAL algorithms have limits on the number of parameters. This means you will have to pay more attention to feature selection or feature engineering while building models with these algorithms. You can find several examples of these limitations on the SAP help portal and SAP blogs.
81 results
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Leveraging AI in RISE with SAP
March 12, 2024
Although it is not yet available everywhere in RISE with SAP, the SAP S/4HANA Cloud, public edition 2402 update now includes access to Joule through an early adopter program. No announcement has been made about when Joule will be available in SAP S/4HANA Cloud, private edition, although this is expected to come later in 2024.… -
Webinar: Leveraging Generative AI to Manage and Administer Cloud Environments
February 22, 2024
As organizations are endeavoring to learn everything they can about this all-encompassing technology as quickly as possible, they also want to understand in what ways it can be applied to their unique environments to cut costs, improve efficiency, better plan for maintenance, resolve issues more quickly and accurately, provide customized experiences, increase security, and more. -
Capitalizing on Automation Advancements with Ameri100
Reading time: 5 mins
More and more organizations are looking for smarter solutions for digital transformations as the 2027 end of maintenance deadline for legacy SAP systems, such as ECC, draws nearer. Companies need to focus on the requirements that must be met ahead of the move to SAP S/4HANA. These businesses generally do not have the resources on… -
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Phocas AI Functionality to Make Data Analysis Easier for SAP Business One Users
Reading time: 2 mins
Phocas AI to extend the ease of use of its Analytics product to allow SAP Business One users to query their organisation’s consolidated data. -
Enabling Intelligent Agreements with AI and Automation
Reading time: 2 mins
Last year we saw SAP’s AI co-pilot Joule make its debut along with new generative AI capabilities dedicated to its SAP CX portfolio. -
Customer Case Study: The Tile Shop Case Shifts from Infrastructure to Efficiency, Innovation and AI with SAP on Azure
Click Here to View Session Deck. 90-days after migrating their SAP workloads to the cloud, The Tile Shop made the shift from managing infrastructure to rapidly adopting innovation. In this session, The Tile Shop Director of IT, Eric Pawlowski, shares how automation, AI, and the cloud are enabling cost savings and efficiencies that have changed…...… -
The Defending Power of AI Adoption
Reading time: 2 mins
Optimizing AI and ML can be a daunting task for many companies but Avvale believes it’s a tool that can be worked with, rather than against. -
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- SAP AI
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Exploring the Landscape of SAP Business AI: Strategy, Use Cases, and Architecture
Click Here to View Session Deck. This presentation will delve into the world of SAP Business AI, offering attendees a comprehensive overview of its strategic applications, diverse use cases, and robust architecture. Whether you’re new to SAP Business AI or seeking to enhance your existing knowledge, this session promises to offer valuable insights and guidance…...… -
- SAP AI
- Premium
Unleash the Potential of AI to Elevate Your Mobile App Experience
Click Here to View Session Deck. Discover the art of building user-friendly Q&A chatbots fueled by Large Language Models (LLM) and seamlessly integrate them into your mobile applications. Join us for an interactive session where we build an SAP BTP based application leveraging AI. Gain invaluable insights into essential tools, expert tips, and best practices…...… -
- SAP AI
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Utilizing DevOps and Generative AI to enforce Governance
Click Here to View Session Deck. Learn the role DevOps play in fostering collaboration between development and operations teams. Generative AI can analyze vast amounts of data and enhance governance enforcement by automatically generating policies and guidelines. By integrating these technologies, organizations can establish a robust governance framework that ensures compliance, mitigates risks, and promotes…...…
Featured Insiders
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Prathyusha Garimella
Senior Engineer at SAP America, Inc.
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Andreas Welsch
VP & Head of Marketing & Solutions - Artificial Intelligence, SAP
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Laz Uriza
Business & Sales Strategy Director - WW SAP on Azure Strategy Lead
Global Sales & Strategy Lead, Microsoft
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