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.

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  1. Boomi’s AI Agents: Transforming SAP Integration with Innovation and Compliance

    Reading time: 2 mins

    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. NVIDIA

    Integrating AI with ERP: The Future of Business Ops with NeMo and NVIDIA

    Reading time: 3 mins

    NVIDIA’s introduction of the NeMo model families highlights how AI can fundamentally enhance ERP systems by streamlining data handling, improving user experience, enabling predictive analytics, and fostering continuous improvement, ultimately driving operational efficiency and long-term growth for businesses.

  3. SAP and Microsoft: Innovating to Drive Impact

    Reading time: 5 mins

    The partnership between SAP and Microsoft, showcased at Ignite 2024, demonstrates their commitment to advancing enterprise technology through enhanced security, AI-driven solutions, and improved data integration, ultimately redefining operational efficiency and collaboration in business environments.

  4. Why Data is Crucial to Procurement’s AI Future

    Published: 01/08/2025

    Reading time: 3 mins

    Procurement is evolving into a strategic business function, leveraging AI to enhance efficiency and decision-making, while emphasizing the need for accurate data management and governance to drive meaningful innovation and seamless multi-functional collaboration.

  5. NVIDIA

    New NVIDIA AI Models Empower – and Redefine – SAP as Agentic Leader

    Reading time: 3 mins

    NVIDIA launched its Llama Nemotron family of language models at CES 2025 to enhance Agentic AI across various applications, with SAP among the first to integrate these models to optimize customer support, fraud detection, and enterprise resource planning processes.

  6. Collibra Data Governance with SAP Datasphere

    SAP and Collibra Deliver Unified Data and AI Governance

    Reading time: 2 mins

    Organizations struggle to scale AI initiatives due to misalignment, distrust in AI reliability, and regulatory issues, but unified data and AI governance, exemplified by the integration of SAP Datasphere and Collibra, are essential for enhancing data quality and compliance.

  7. graphic of a padlock on a grey background | The future of protecting customer data

    Confidence and concern: The future of protecting customer data

    Reading time: 3 mins

    Trust among employees and customers in a business is conditional with a data breach having the potential to compromise it. 

  8. Understanding Generative AI For Business Use Cases

    Reading time: 2 mins

    Artificial Intelligence (AI) is one of the hottest topics in the technology industry, and its momentum will likely continue to increase in 2025. With all of the discussion around AI and Generative AI, organizations may miss out on the answer to their biggest question – how does this benefit me and my company? SAP organizations…

  9. Thinking Big with AI in Procurement

    Reading time: 3 mins

    As artificial intelligence progresses, procurement practitioners have begun exploring AI to identify its potential to tackle smaller, focused projects like invoice automation. This forms part of a comprehensive overhaul of processes to better align with organizational goals and a transformation in how procurement teams engage with internal stakeholders and vendors.

  10. VisionWrights Teams Up with Domo to Boost Customer Success Through Data-Driven Strategies

    Reading time: 4 mins

    Domo has expanded its partnership with VisionWrights to enhance data management strategies and drive ROI for clients through effective use of Domo’s AI platform, addressing key challenges in data quality and real-time decision-making.