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.

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  1. Tech Mahindra

    Tech Mahindra is a $ 5.2 Billion company with over 125,000+ Professionals across 90 Countries helping 973 Global Customers including Fortune 500 Companies. TechM offers a full range of IT & Business services and industry-specific solutions to help its clients in taking maximum advantage of opportunities. Tech Mahindra is one of the only 15 SAP’s Global Strategic Suppliers for Technical Services in the areas of Application Consulting, Application Development, Application Maintenance, and IT Infrastructure Services. TechM is a premier SAP solution provider geared to provide clients with the full spectrum of enterprise and e-commerce solutions. TechM helps enterprises leverage SAP Solutions to efficiently manage Enterprise Resource Planning (S4 HANA), Supply Chain Management (SCM), and proactively & cost-effectively handle Customer Relationship Management (CRM).

  2. SAP on Cloud Managed Service image

    Leveraging Analytical Methods for Ranking Suppliers

    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…
  3. Roadblocks on the Path to Blockchain Industrialization

    By Kumar Singh, Research Director, SAPinsider   Every technology, in its emerging stages, has certain limitations which need to be overcome in order to propel the technology to maturity/Industrialization. Blockchain is not an exception. If you look at Gartner’s hype cycle for 2021, blockchain technologies have not reached the plateau of productivity stage yet, as…
  4. An Introduction to Marketing Analytics

    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…...…
  5. The Newsvendor Model image

    Basics of the Newsvendor Model

    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…
  6. Retain Your Data Science Talent image

    How to Retain Your Data Science Talent

    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…
  7. How to Choose the Right Simulation Modeling Method

    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…
  8. Taking AI from Buzzword to Reality image

    Taking AI from Buzzword to Reality

    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…
  9. Five Stages of Disruption: A Digital Supply Chain perspective

    By Kumar Singh, Research Director, SAPinsider                                                     A disruptive technology will not be “disruptive” during all stages of its life While every other provider, vendor, and “expert” is shouting about digital…
  10. financial analytics as an asset image

    Financial Analytics as a Strategic Business Asset

    A curiosity is driving finance leaders to learn how automation, artificial intelligence (AI), and machine learning can elevate the finance function and with it, the company’s entire analytics strategy. At the heart of this desire is data. This article explores how modernization and financial analytics can work together to help the finance department deliver value…