Mar 16-19, 2026Las Vegas, Nevada, NV
SAP Analytics and AI
Featured Insiders
Upcoming Events
SAPinsider Las Vegas 2026
Related Vendors
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
The Four Data Capabilities SAP Customers Need to Trust GenAI OutputsJan 19 — SAP customers adopting generative AI face challenges where data readiness, rather than model sophistication, is crucial for success, necessitating a focus on data cataloging, governance, real-time streaming, and security to ensure reliable AI outcomes.
3 minute read
TechWave Outlines a Practical Framework for Embedding AI into Core SAP Business ProcessesJan 19 — TechWave emphasizes that AI integration into daily operations, rather than treating it as an isolated experiment, is essential for enterprises to effectively modernize processes and enhance operational readiness through a structured approach incorporating strategic consulting, demonstrative prototypes, and disciplined delivery.
3 minute read
Joule Studio Agent Builder Hits General Availability, Signaling Shift in Agentic AIJan 15 — SAP's launch of the Agent Builder within Joule Studio marks a shift from traditional rule-based automation to agentic AI, enabling autonomous reasoning and execution of complex workflows while enhancing contextual decision-making and process orchestration across diverse systems.
3 minute read
SAP + Databricks: A Partnership Timeline and Practical BenefitsJan 14 — In early 2025, SAP launched SAP Business Data Cloud as the evolution of SAP Datasphere, collaborating with Databricks to enable a seamless integration for unifying SAP and non-SAP data, thereby enhancing analytics and AI capabilities while promoting a governance framework to streamline data sharing and reduce duplication.
3 minute read
SAP Business AI Explained: What SAP Customers Need to Know NowJan 14 — SAP has transitioned its approach to artificial intelligence into SAP Business AI, emphasizing the integration of AI across its applications and services while ensuring security and compliance, distinguishing it from competitors by focusing on transactional business processes and regulatory alignment.
5 minute read
Why TechWave Believes Industry-Specific AI Will Define the Next Phase of SAP InnovationJan 12 — As SAP pushes deeper into embedded, process-aware AI, services partners increasingly position industry context as the differentiator between interesting copilots and measurable business outcomes. TechWave, a global IT services and solutions partner with SAP expertise, argues that the next phase of SAP innovation will be shaped less by generic generative AI and more by industry-specific […]
3 minute read
From Embedded AI to Development Platforms, These are the Most Common AI Vendors and Technologies for SAPinsidersJan 9 — The SAPinsider research report highlights that organizations are increasingly adopting AI through various SAP-native tools and cloud platforms, with a shift towards leveraging established ecosystems as they progress from experimentation to full-scale implementation by 2026.
5 minute read
The 6 Hottest Topics For SAP Developers in 2026Jan 9 — As SAP customers transition to 2026, the focus shifts from experimentation to execution, emphasizing agentic AI, governed business data, and developer productivity, with a roadmap for prioritizing investments and tackling operational challenges that emerged from SAP TechEd 2025.
4 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