AI & Machine Learning

The application of AI and machine learning (ML) to SAP systems allows organizations to more efficiently manage business tasks and streamline processes while finding ways to solve more complex business challenges more quickly. Learn about the different AI and ML solutions available within the SAP ecosystem, and how they can be applied to different business scenarios. Explore the different options with insight from experts within the SAPinsider Community and discover how to leverage opportunities to test different solutions. Understand how other organizations have used AI and ML to meet business challenges, and the scenarios where they have found these solutions to be most applicable.

Results

  1. Pure Storage

    Reading time: 0 mins

    Extend your analytics capabilities and self-service user analysis across your entire organization with SAP Analytics Cloud while continuing to use your enterprise operational reporting and your semantics layer and universes, and SAP BusinessObjects Web Intelligence models and assets. In this session, we will: -Provide an overview of how you can gain greater analytics capabilities by…
  2. SAP BusinessObjects BI and SAP Analytics Cloud: Best of both worlds

    Extend your analytics capabilities and self-service user analysis across your entire organization with SAP Analytics Cloud while continuing to use your enterprise operational reporting and your semantics layer and universes, and SAP BusinessObjects Web Intelligence models and assets. In this session, we will: -Provide an overview of how you can gain greater analytics capabilities by…
  3. Analytics Success: In a world turned upside-down, what changed and what didn’t?

    Recent events have led to an explosion of economic uncertainty, and analytics has become the “number one pandemic technology” — because businesspeople don’t want to navigate in the dark. In this session we’ll take a look at how latest analytics technologies provide more opportunities than ever to let organizations know where they stand today, and…
  4. Understanding the difference between Business Intelligence (BI) and Artificial Intelligence (AI)

    Reading time: 5 mins

    In the world of technology, it will be an impossible task these days to find someone who is not aware of the term data science. With the emergence of data science, Artificial Intelligence (AI) and Machine Learning (ML) tools appreared on the horizon. The world was introduced to the significant impact AI and ML tools…
  5. SAP S/4HANA image

    Leveraging Machine Learning for Demand Forecasting

    Reading time: 4 mins

    Until recently, conventional time series forecasting methods have been predominantly used for forecasting in demand planning. A majority of demand forecasting tools in the market leverage these methods in their solutions. With advances in technology and computing power, the sophistication of these time series algorithms has increased thereby increasing forecast accuracy. However, with the advent…
  6. SAP S/4HANA embedded analytics journey

    Managing SAP HANA requires a wide range of skills. Take a deep dive into advanced SAP HANA administration and master techniques and tools for effective analysis of issues, monitoring of the workload, and overall management of SAP HANA systems, including multi-tenant databases. Attend this comprehensive session to: -Learn how to leverage the SAP HANA cockpit…
  7. How SAP Analytics Cloud Planning can enable predictive forecasting in uncertain times

    In today’s dynamic climate, one thing is for certain — we can’t plan based on last year’s results. Accurate, flexible, iterative and timely planning is critical. Sales forecasts fluctuate daily, and business conditions can change weekly. We must adapt to current facts and model numerous scenarios to be prepared for what lies ahead. This session…
  8. Practical steps for building a proof of concept for SAP S/4HANA analytics

    This session provides all you need to know to set up a proof of concept (PoC) for SAP S/4HANA analytics assembled in one place. Explore your options for BI on SAP S/4HANA and come away with a useful checklist that will help you accelerate your PoC, including links to documentation, blogs, and SAP training offerings.…
  9. SAP AI Strategy featured image

    Enterprise Artificial Intelligence – Embedded AI

    Reading time: 9 mins

    If your company has not begun building an artificial intelligence (AI) strategy, it may risk falling behind competitors. That could mean lagging in areas of innovation that AI can enable, including improved or new products, reduced risks, and a better bottom line. There is good news for SAP customers: SAP has already begun embedding AI…
  10. NetApp

    An SAP implementation is always about balance. Up and running and stable today? Tomorrow, you’re asked to do even more. Handling more transactions, more users, more partners, more modules. How do you handle the data behind it all? You need a solid, agile, scalable backbone. SAP on NetApp is that backbone. NetApp’s storage provisioning and performance capabilities are fast, and they add value to your data. Stay on-premises, or move to the cloud whenever, wherever you want with the hyperscalers: Azure, AWS and Google. It’s your SAP data. Use it.