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.


  1. Pure Storage

    Reading time: 4 mins

    Get more from your data. Pure Storage empowers innovators to build a better world with data by delivering a simple, evergreen platform that enables organizations of all kinds to turn data into intelligence and advantage. Pure’s data solutions enable SaaS companies, cloud service providers, enterprises, and public-sector organizations to deliver real-time, secure data to power mission-critical production, DevOps, and modern analytics in multi-cloud environments.

  2. IoT Predictive Logistics

    IoT Enabled Predictive Logistics Platforms

    Reading time: 4 mins

    By Kumar Singh, Research Director, SAPinsider IoT technologies are predicted to generate a massive amount of data when leveraged at an industrial scale in supply chains. Using IoT technology to gain competitive advantage is actually not just about the data but more about how you leverage all that data being collected. Advancements in technology and…
  3. hyperscalers need to become consultants image

    Why Hyperscalers Need to Become Consulting Companies

    Reading time: 10 mins

    By Kumar Singh, Research Director, SAPinsider The future is going to be inevitably cloudy But in a positive way. If you regularly follow my blogs, you may be a bit irritated by now as I repeatedly hammer “cloud is the future”. And it is not only in terms of technology infrastructure. Companies will, eventually, operate…
  4. Is Design Thinking the Missing Link in Data Science ? Part I/II

    Reading time: 5 mins

    By Kumar Singh, Research Director, SAPinsider What is the true failure rate of data science projects? During one of the conversations with a guest we were hosting during the 4th of July weekend, we started a discussion focused on guesstimating what percentage of data science projects are actually successful. The other person had an opinion…
  5. SAP on Cloud Managed Service image

    Leveraging Analytical Methods for Ranking Suppliers

    Reading time: 4 mins

    In the real-world, sourcing executives generally have a large pool of suppliers to select from.  In terms of leveraging analytics, the problem of ranking suppliers (pre-qualification) represents a class of multiple criteria optimization problems that deal with the ranking of a finite number of alternatives, where each alternative is measured by several conflicting criteria. In…
  6. An Introduction to Marketing Analytics

    Reading time: 4 mins

    By Kumar Singh, Research Director, SAPinsider   Marketing is evolving significantly into digital marketing with the explosion of online channels and rapid digitalization of processes. The pandemic has massively accelerated the shift to online and consumers are shopping more and more online or are expressing their buying sentiments more frequently on social media. All this…...…
  7. The Newsvendor Model image

    Basics of the Newsvendor Model

    Reading time: 7 mins

    By Kumar Singh, Research Director, SAPinsider The “Optimal” Dilemma Assume that you have decided to leverage the power of e-commerce to start your own business. Your classmate during your MBA days, who was from China and has relocated back to China, now owns a factory that manufactures floating ducks for swimming pools (the kind that…
  8. Retain Your Data Science Talent image

    How to Retain Your Data Science Talent

    Reading time: 5 mins

    By Kumar Singh, Research Director, SAPinsider Attrition in Data Science teams had hit an all-time high prior to the pandemic. And now we are looking at “The Great Resignation”. There is no speculating what type of talent is the most desired (and required) in this digital decade as companies scramble to attract as well as…
  9. How to Choose the Right Simulation Modeling Method

    Reading time: 4 mins

    By Kumar Singh, Research Director, SAPinsider Practice makes a modeler perfect When you have a business problem for which you need to create a simulation model at hand, the most critical next step, which in some instances can even mean success or failure of your modeling project, is to determine how exactly to model the…
  10. Taking AI from Buzzword to Reality image

    Taking AI from Buzzword to Reality

    Reading time: 7 mins

    For many companies, determining where and how to apply artificial intelligence (AI) technology for business gain can be an elusive objective as leaders grapple with understanding its complexity. Viakem, an 81-year-old specialty chemicals manufacturer based in Mexico, recently completed a successful AI initiative to support its HR function. As part of the initiative Viakem’s CIO…