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Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

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Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

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Featured Content
Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

SAP Analytics and AI

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Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.

SAP and Partner Technologies in Analytics and AI

Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.

SAP and Partner Technologies in Analytics and AI

SAP and their partner ecosystem have rich portfolio of tools and technologies in AI and analytics domain.  SAP BTP platform has AI and analytics capabilities embedded to help organizations build intelligent enterprise capabilities. SAP S/4HANA puts AI in the ERP, whereas SAP Intelligent Automation uses AI to help organizations build smart automation capabilities. Digital supply chain tools from SAP leverage AI and analytics with emerging technologies to help organizations build smart supply chains. AP Analytics Cloud is the leading enterprise analytics tool in the market and is seen as the future of SAP Business Objects. The partner technology ecosystem is not behind. In every function, SAP partners offer AI-enabled tools like Phenom AI for HR processes, iCertis for contract lifecycle management, Prospecta for intelligent data management. Then there are overarching analytics solutions from partners like Pyramid Analytics that help build enterprise-wide decision intelligence capabilities.

Resources for SAPinsiders

Key Insights Using SAP Analytics Cloud: In today’s world, data is becoming more valuable every. For any organization, it is necessary to analyze their data before making any critical decisions regarding business operations such as finance, sales, supply chain operations and more. For enterprises with large amounts of critical,, but under-analyzed, data, SAP Analytics Cloud has simplified and expedited data analysis. This article discusses how organizations can draw critical insights using SAP Analytics Cloud.

Three-Step Gameplan to Deploy AI in the Office of CFO: While the world witnessed the emergence of self-driving cars with advanced technologies, such as artificial intelligence (AI) and machine learning (ML), the world of finance has also done everything to keep up. A/R operations are now getting more autonomous and intelligent while the workforce is focusing more on ‘strategic’ business decision making. 65% of finance executives reported that they increased their technology investments and are now focusing on growing their digital business in 2021. This webinar shares a roadmap to leverage AI in finance executive planning.

253 results
Bicycles parked in front of an SAP office place in Europe.
SAP’s EU AI Cloud Addresses Data Sovereignty as Regulations Tighten in EuropeJan 26  —  SAP has launched the EU AI Cloud, a sovereign AI infrastructure designed to meet European data residency and regulatory requirements, allowing organizations to deploy AI workloads within compliant environments amid increasing scrutiny of AI systems.
3 minute read
SAPinsider Research Webinar: Enterprise Data and Analytics in the Era of AIJan 12  —  Digital business generates more data than traditional business, and that information is foundational to supporting innovation and realizing desired business outcomes such as improved forecasting accuracy, faster and better decision-making, enhanced customer and user experiences, and setting up the ground work  for AI adoption and innovation. Companies that have invested in modernizing their data and analytics strategies and technologies are seeing results, both in the outcomes mentioned as well as many Key Performance Indicators (KPIs). To identify the key factors, strategies, expectations, challenges, and technologies driving enterprise data and analytics strategies, SAPinsider surveyed community members across multiple industries, locations, and roles. This research explored the data and analytics maturity of respondents’ organizations and identified key traits across maturity segments as they journey towards becoming data-driven and AI-enabled. Download the benchmark report to read the full data analysis and receive recommendations for your own plans. Understand the factors impacting SAPiniders’ data and analytics strategies. - Explore the impact that data and analytics maturity has on desired business outcomes and KPIs. - Learn about the technologies that are in use to build data and analytics foundations. - Discover how Data Leaders are succeeding with their data and analytics strategies.
1 minute read
SAP sign showing logo.
SAP-RPT-1 Brings Tabular Foundation Models to Enterprise AIJan 27  —  SAP has launched SAP-RPT-1, a tabular foundation model tailored for structured business data, enabling predictive tasks across enterprise functions while emphasizing efficient in-context learning.
3 minute read
Boomi’s AI Agents: Transforming SAP Integration with Innovation and ComplianceJan 15, 2025  —  Boomi is enhancing its SAP integration solutions by incorporating AI Agents that prioritize data privacy and compliance, particularly through tools like DataDetective for GDPR compliance, while establishing an AI Agent Registry to ensure responsible AI governance.
2 minute read
Female analyst with computer screen reflected in eyeglasses.
SAP Joule Integrations Move AI Deeper Into Enterprise WorkflowsJan 28  —  SAP Joule is expanding through deeper integrations across enterprise applications and partner platforms, positioning the AI assistant as a workflow layer embedded directly into business execution.
3 minute read
Agentic AI and the human-centered future of autonomyJan 26  —  The rise of agentic AI in enterprises emphasizes not technology replacing humans but rather enhancing their capabilities, necessitating a strategic shift in roles and training to foster human-AI collaboration for greater efficiency and innovation.
15 minute read
The Criticality of Automating Document Processing For SAP
Rumble in the Jungle Round 3: Using Anthropic Claude to Automate SAP SAC Script codeMay 20, 2025  —  In a comparison of AI chatbots for SAP coding, Anthropic Claude outperformed OpenAI's ChatGPT and Google's Gemini by resolving challenges quickly with simpler code and fewer iterations, demonstrating its efficiency and user-friendliness in enhancing SAP SAC applications.
9 minute read
AI Supply Chain Analytics and SAP Core
AI Moves Beyond Hype to Hit the Road in Supply ChainNov 24, 2025  —  AI in logistics transcends public perception, focusing on solving specific business problems to enhance efficiency, prioritize tasks, and bridge the talent gap, ultimately aiming for an integrated ecosystem by 2030 while streamlining workflows with intelligent tools.
3 minute read
FedEx Office Pursues “In-Center Excellence” with Quick and Easy DashboardsOct 1, 2013  —  

See how FedEx Office fast-tracked an SAP BusinessObjects Dashboards project to harmonize reporting for center managers at the roughly 1,800 FedEx Office locations, resulting in a streamlined view of business operations, increased efficiency, and additional revenue opportunities. Learn how FedEx Office dealt with unique challenges, such as changing data warehouse fields and aggregating data to address preset metrics for the predefined key performance indicators (KPIs).

8 minute read
SAP Advances Enterprise AI with Table-Native Models and Expanded Business AIJan 16  —  SAP is enhancing AI adoption in enterprise systems with the introduction of the SAP-RPT-1 model for structured data and a suite of AI enhancements aimed at automating processes and generating insights, marking a strategic shift towards a data-first AI approach.
2 minute read