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.

242 results

  1. Safeguarding AI with Zero Trust Architecture and Data-Centric Security

    Reading time: 9 mins

    The article emphasizes the critical need for enterprises to safeguard AI systems amid rising cybersecurity threats, noting that over 77% of businesses faced AI-related breaches in 2023, highlighting the importance of employing comprehensive security measures like Zero Trust Architecture and Data-Centric Security to protect sensitive data, AI models, and maintain public trust.

  2. TCS and SAP Deepen Alliance to Accelerate Enterprise GenAI and Cloud Adoption

    Why SAP Customers Are Rethinking Supply Chains Amid Policy and Performance Pressures

    Reading time: 3 mins

    In response to global uncertainty and technology challenges, Baer Group is finding that SAP customers are increasingly turning to AI to transform their supply chain management by enhancing resilience, visibility, and efficiency.

  3. How AI-Powered Lockbox Enrichment from Serrala Supercharges Finance Workflows

    Reading time: 3 mins

    Modern finance organizations must embrace automation and AI, exemplified by Serrala’s AI-Powered Lockbox Enrichment, to streamline processes, reduce manual errors, enhance cash flow, and transform legacy systems amid global volatility.

  4. Google’s A2A Protocol Could Reshape SAP’s AI Strategy

    Reading time: 3 mins

    Google has launched the A2A protocol, an open standard enabling AI agents to collaborate seamlessly across platforms and ecosystems, including SAP environments, thereby enhancing interoperability in enterprise AI.

  5. Bridging the Trust Gap in AI with Kyriba

    Reading time: 3 mins

    As organizations increasingly adopt AI for operational efficiency and enhanced analytics, a significant ‘Trust Gap’ persists, particularly in finance, driven by security, transparency, and compliance concerns; however, Kyriba’s Trusted AI portfolio aims to bridge this gap by fostering crucial AI foundation skills and ensuring secure, transparent deployments.

  6. What Role Does Gen AI Play in Enhancing SAP S/4HANA’s Efficiency and Performance?

    Reading time: 6 mins

    The integration of Generative AI into SAP S/4HANA is revolutionizing enterprise resource planning by automating data processes, optimizing workflows, and enhancing decision-making capabilities, thus significantly increasing system efficiency and empowering businesses to adapt swiftly to market demands.

  7. How to Set up an AI Strategy with RSM

    Reading time: 3 mins

    As companies rush to implement AI solutions within their workflows, RSM offers comprehensive AI consulting services to guide them through the entire AI lifecycle, ensuring informed decision-making, effective strategy alignment, and proper governance to enhance operations and mitigate potential ethical and data issues.

  8. SAP Sapphire Joule AI agent

    SAP’s Joule Promoted From Assistant to AI Agent

    Reading time: 3 mins

    Humans expect to progress in their careers as they age, enjoying expanding roles with more autonomy. Apparently, that’s the same for AI tools as well. Joule, SAP’s generative AI assistant, is evolving from answering questions and helping find documents to proactively solving problems with the support of AI Agents, the vendor announced at Sapphire on…

  9. AI in Tech Recruiting is a Battle of the Bots. Can a Personal Approach Turn the Tables?

    Reading time: 5 mins

    It’s time to end the battle of the bots! Personalization, precision, and partnership are the keys to successfully staffing your SAP or other technology programs.

  10. Baer Overview Video

      Securing the right expertise for your SAP initiative to sustain high performance is a constant challenge. Baer accelerates your access to precision expertise. https://sapinsider.org/wp-content/uploads/2025/05/baer_film_v15-1080p.mp4