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. apexanalytix

    apexanalytix revolutionized recovery audit with advanced analytics and the introduction of firststrike overpayment prevention software. Today, apexanalytix leads the world in supplier management innovation with apexportal and smartvm, the most popular supplier onboarding and compliant master data management solution available. With over 250 clients in the Fortune 500 and Global 2000, apexanalytix is dedicated to providing companies and their suppliers the ultimate supplier management experience. To learn more visit www.apexanalytix.com, email apexinfo@apexanalytix.com or call +1 800-284-4522.

  2. Enterprise AI Platforms : Build or Buy ?

    by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider   Our fascination with Artificial Intelligence (AI) For hundreds of years now, humankind has envisioned machines doing our tasks for us and has imagined creating intelligent machines and robots (The Czech writer Karel Čapek introduced the world to the word robot, by way…
  3. Using stories, pages, and the digital boardroom to interact with your data

    SAP Analytics cloud offers many powerful features and functionalities. Many of these features are embedded deep within the tool and users are not always cognizant about these. Three such effective tools are stories, pages and digital boardrooms. In this session, attendees will: -Learn what a Story is and how it’s used in SAP Analytics Cloud…
  4. Model Creation in SAP Analytics Cloud

    Developing models in SAP Analytics cloud allows you to leverage the full potential of SAC and the wide gamut of analytical tools it makes available. However, there are best practices associated with developing these models in SAC. This session will cover those best practices and the right approach. Attendees will:    -Learn how to create…
  5. A detailed look at the latest SAP analytics cloud strategy and roadmap

    This session will explore the latest SAP Analytics Cloud strategy, how it is set up, and how it aligns to SAP’s corporate strategy. You will examine what is in store for SAP Analytics Cloud and how the future platform direction will impact BI, planning, and augmented analytics. Learn about planned innovations and come away with…
  6. SAP business warehouse update

    SAP Business Warehouse is SAP’s workhorse data warehouse system. Always innovating, SAP has continued to extend the value for both new and existing SAP Business Warehouse customers with new functionality in SAP BW/4HANA. In this session you will hear about: -The latest innovations in SAP BW/4HANA -Upgrading your existing system to the latest BW/4HANA technology…
  7. 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…
  8. 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…
  9. Understanding the difference between Business Intelligence (BI) and Artificial Intelligence (AI)

    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…
  10. SAP S/4HANA image

    Leveraging Machine Learning for Demand Forecasting

    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…