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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.
383 results
SAP Japan CEO RetiringJan 9 — Hirofumi Suzuki, the President of SAP Japan, will retire on March 31, 2026, after nearly six years of leadership during which he navigated the impacts of the COVID-19 pandemic and prioritized cloud and AI strategies while fostering sustainability and digital transformation initiatives.
1 minute read
Turn static documents into communication powerhouse leveraging SAP Cloud ERPJan 9 — Join us as we showcase how ways to accelerate content creation with secure generative AI capabilities, streamline document creation by fully integrating with your customer data from SAP Cloud ERP, as well as other sources of data and more!
1 minute read
Accelerating AI readiness with OpenText Knowledge DiscoveryJan 9 — Discover and access content across your entire ecosystem. Learn how to effectively connect to, search for, and locate relevant content both within and beyond your immediate network, ensuring critical information is always easy to find when and where it’s needed. Activate intelligent processes through enriched content metadata. Enable smarter, more automated workflows by properly labeling, classifying, and enriching content with meaningful metadata, allowing systems to interpret, organize, and act on information more efficiently. Connect AI with the people, processes, and systems that rely on it. Bridge the gap between AI capabilities and real-world use by integrating AI seamlessly into existing teams, workflows, and technologies to drive better decision-making and operational outcomes.
1 minute read
5 Important AI Trends for SAPinsiders in 2026Jan 8 — AI is now central to business transformation in the SAP ecosystem, but many organizations remain at early maturation stages, with a need to evolve from experimentation to impactful integration while prioritizing governance, data quality, and leadership commitment to drive meaningful outcomes.
5 minute read
AI Adoption and Maturity in the SAP EcosystemDec 31, 2025 — Artificial intelligence (AI) is reshaping how organizations operate, compete, and deliver value. For SAP customers, AI adoption is accelerating in tandem with digital transformation initiatives such as SAP S/4HANA migration, cloud modernization, and business process automation.
This research looks at how SAPinsiders are approaching AI, examining maturity, technologies, use cases, governance, and the business impact that AI is having. This includes where AI is being used in SAP solutions, AI models in use, platforms used to build and train AI models, and where AI use cases are currently being deployed or developed.
Download the benchmark report to read the full data analysis and receive recommendations for your own plans. Understand the factors impacting SAPinsiders’ AI strategies.
- Explore the impact that AI maturity and adoption have on desired business outcomes and KPIs
- Learn about the technologies that are in use to build and deploy AI tools.
- Discover how AI Leaders are succeeding with their AI adoption and usage strategies.
1 minute read
The Office of the SAP CFO and the Future of FinanceDec 31, 2025 — SAP CFO organizations are at a turning point. Our latest benchmark study of 110 SAP-centric enterprises reveals how finance leaders are modernizing their core, automating the close, and leveraging AI to move from transactional efficiency to strategic intelligence.
The Office of the CFO is evolving from a compliance-driven function into a strategic co-pilot for the enterprise. SAPinsider’s 2025 research shows that 54% of organizations have migrated core financial activities to SAP S/4HANA, creating the digital backbone for automation and AI. Yet only 17% report fully integrated finance systems, leaving most stuck at “Level 3 – Established” maturity. This plateau limits agility and slows transformation. CFOs face mounting pressure from regulatory complexity and cybersecurity risks, while internal demands for efficiency and performance drive a shift toward automation and real-time insights.
Modernization isn’t optional. 47% of organizations now prioritize automating the financial close, and leaders achieving 1–3 day close (just 5% today) gain a decisive competitive advantage in agility and decision-making. AI adoption is accelerating, 69% of respondents use AI in finance, primarily for forecasting and anomaly detection. Those leveraging AI report faster cycle times and less manual effort, freeing capacity for strategic planning. The report provides actionable recommendations for CFOs at every maturity level, from fixing data foundations to piloting agentic AI and moving toward autonomous finance.
Download the full report to benchmark your SAP CFO transformation and learn how to accelerate modernization.
2 minute read
Unlocking AP Transformation: Basware’s CEO on the Four Forces and Invoice Lifecycle ManagementDec 30, 2025 — Basware CEO Jason Kurtz outlines four transformative forces—autonomous AP, global e-invoicing compliance, open supplier networks, and composable technology stacks—that are evolving Accounts Payable from a cost center into a strategic asset for improving cash flow, compliance, and fraud prevention.
3 minute read
Mastering the Four Forces: A Podcast Series with Basware CEO Jason KurtzDec 30, 2025 — Jason Kurtz, CEO of Basware, emphasizes that success in accounts payable will depend on mastering four key forces: autonomous AP, global e-invoicing compliance, open supplier networks, and composable technology stacks, as discussed in the upcoming 2026 SAPinsider Enterprise Live podcast series.
1 minute read
AGIS Modernizes Order Planning and Cuts Planning Time by 75% with SAP BTPDec 26, 2025 — Al Ghurair Iron and Steel LLC modernized its production planning and execution by digitizing 90% of its make-to-order process with SAP BTP and SAP Business AI, achieving significant reductions in order planning and batch execution times, while enhancing operational visibility and supporting sustainability reporting.
2 minute read
