SAP Machine Learning


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Machine Learning Features in SAP Products

What is Machine Learning?

Machine learning (ML) is a subset of artificial intelligence (AI) algorithms. The differentiating aspect of these algorithms is that they can learn from the input data and modify the model based on changes in that data. It is this “learning” aspect that makes these algorithms powerful.

Machine Learning Applications in SAP Portfolio

SAP applications leverage ML algorithms extensively to embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, and allow data scientists and ML engineers to build advanced models and solutions. Below are some examples:

  • SAP HANA

SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful built-in tool is the predictive analytics library (PAL). A component of the application function library in HANA, PAL includes several algorithms to enable the most frequently used predictive analytics use cases. For advanced users who want to explore advanced algorithms like deep learning, extended machine library (EML) in HANA allows such users to leverage TensorFlow to build deep learning algorithms.

  • SAP Data Intelligence

SAP data intelligence has a rich ML content library. This library, which has an ML scenario manager and ML operations cockpit, allows engineers and data scientists to collaborate and build ML models.

  • SAP Analytics Cloud Smart Predict

Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced ML algorithms. While ML algorithms have many applications, predictive analytics remains a key one.

Key Considerations for SAPinsiders

Machine Learning Features in SAP Products

What is Machine Learning?

Machine learning (ML) is a subset of artificial intelligence (AI) algorithms. The differentiating aspect of these algorithms is that they can learn from the input data and modify the model based on changes in that data. It is this “learning” aspect that makes these algorithms powerful.

Machine Learning Applications in SAP Portfolio

SAP applications leverage ML algorithms extensively to embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, and allow data scientists and ML engineers to build advanced models and solutions. Below are some examples:

  • SAP HANA

SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful built-in tool is the predictive analytics library (PAL). A component of the application function library in HANA, PAL includes several algorithms to enable the most frequently used predictive analytics use cases. For advanced users who want to explore advanced algorithms like deep learning, extended machine library (EML) in HANA allows such users to leverage TensorFlow to build deep learning algorithms.

  • SAP Data Intelligence

SAP data intelligence has a rich ML content library. This library, which has an ML scenario manager and ML operations cockpit, allows engineers and data scientists to collaborate and build ML models.

  • SAP Analytics Cloud Smart Predict

Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced ML algorithms. While ML algorithms have many applications, predictive analytics remains a key one.

Key Considerations for SAPinsiders

  • Develop a fundamental understanding of algorithms: Explore what specific algorithms are available and understand where they can be leveraged. This will help you get optimal value from these tools. As an example, you should be aware that you can use clustering algorithms for customer segmentation. Here is an example of a good overview of critical algorithms used in SAP applications.
  • Understand the limitations of underlying data infrastructure: Understanding aspects of the underlying database is also critical. This helps you build pragmatic models. As an example, HANA has a 2 billion rows limitation, and hence you may have to partition tables for data sets larger than that. This impacts your model development as well.
  • Understand the limitations of tools available: Some PAL algorithms have limits on the number of parameters. This means you will have to pay more attention to feature selection or feature engineering while building models with these algorithms. You can find several examples of these limitations on the SAP help portal and SAP blogs.

22 results

  1. Kumar Singh -- Image

    Automated Machine Learning in the Cloud

    Reading time: 8 mins

    It has been more than eight years since AutoWEKA, the first free and open-source machine learning library, was released in 2013. It is not surprising then that automation of the data science process has been around for nearly a decade, but these tools have evolved extensively in recent years. The initial technologies were mainly focused…
  2. Vodaphone image

    Machine Learning Powered Intelligent Replenishment in Retail

    Reading time: 4 mins

    by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider   The criticality of establishing an efficient store replenishment process The process efficiency of replenishing store inventory is critical to a retailer’s overall operating efficiency and even profitability. It is not news to anyone that store replenishment impacts the on-the-shelf availability. In today’s…
  3. Drive Predictive planning through machine learning with SAP Analytics Cloud

    SAP Analytics Cloud provides machine learning capabilities that can help organizations integrate advanced and predictive analytics within their planning processes. Given the rapid pace of change and disruption within global organizations, these features can provide useful insight to the business. In this session you will: - Gain a detailed introduction to the concept of predictive…
  4. Leveraging Machine Learning (ML) in Spend Analysis solutions

    Reading time: 3 mins

    by Kumar Singh, Research Director, Automation & Analytics, SAPinsider   Machine Learning (ML) based algorithms are slowly percolating into a wide variety of supply chain solutions and spend analysis solutions are no exception. In this article, I share few ways Machine Learning (ML) algorithms are already being used or can be used in spend analysis…
  5. Machine Learning in the Financial Close Process: Where can it add the most value?

    This session explores how utilizing Machine Learning can help automate many of the day-to-day tasks that can often consume the finance organization, helping companies shift focus from a transactional to a more strategic approach to finance. Topics include: - An overview of Machine Learning (what it is, how does it work) - An overview of…
  6. SAP Leonardo Vs. TensorFlow

    Reading time: 4 mins

    Machine learning (ML), considered a subset of artificial intelligence, is growing in popularity among businesses that want to create better computing models with high volumes of data in order to make decisions faster. SAP Leonardo and Google’s TensorFlow are both known, in part, for their ability to prototype and integrate with ML projects. In this…
  7. Bring the Power Of Machine Learning Directly To Business Users

    Reading time: 0 min

    A new wave of disruption is hitting the analytics market: augmented analytics. Machine learning infused in business intelligence and planning workflows helps users make decisions with confidence – without IT intervention or data science training. Read this brochure to learn how to bring the power of machine learning directly to business users.
  8. 5 Important Announcements for SAPinsiders

    Reading time: 3 mins

    SAP TechEd took place this week in Las Vegas, unveiling several developments for the SAPinsider community – not the least of which being SAP’s and Microsoft’s joint announcement that Microsoft Azure Blockchain Service and SAP Cloud Platform Blockchain Service will be interoperable. During his main keynote, which outlined SAP’s business technology platform strategy for the…
  9. Big Data and Machine Learning Tools Flag Fake News and Build Trust and Transparency

    Reading time: 3 mins

    To be successful, companies must operate with complete transparency and gain the trust of employees and customers alike. But with fake news running rampant, it can be difficult to sift through the noise and get to the facts. This content is available to Premium Members. Sign In Learn more about Premium Access
  10. The Future of Finance and Risk Management

    Digitization is changing the business environment on a foundational level, and new technologies are providing opportunities to profoundly reimagine finance and risk management. New developments like machine learning and blockchain will pave the way to the truly intelligent enterprise, while those resistant to change will be left behind. In this new landscape, what will the…...…
  11. Deploying Machine Learning to Build an Intelligent Enterprise

    Reading time: 4 mins

    An absence of strategy trails only domain expertise as the reason why many companies have yet to adopt artificial intelligence and machine learning. Companies are challenged with how to apply these and other breakthrough technologies for business value. This article details several examples of how organizations can deploy machine learning today, and how SAP S/4HANA…
  12. Reshaping Business Models for the Digital Era

    Reading time: 5 mins

    Digital technologies are reshaping the world around us, including how companies operate. Mobility, machine learning, Internet of Things (IoT), and other innovations have shifted how companies, customers, partners, and employees interact. Organizations will therefore need to embrace new ways of working and harness their business networks. Learn how SAP plans on keeping the customer at…
  13. What Are the Prospects for Deep Learning?

    Reading time: 6 mins

    Why, for right now, deep learning is the best universal algorithm. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  14. How Businesses Can Use Machine Learning to Improve Customer Engagement

    Reading time: 4 mins

    Learn about several ways to incorporate machine learning into your core functions to streamline your overall business. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  15. Machine Learning and an Enterprise-Worthy AI Platform

    Reading time: 4 mins

    Machine learning capability within an artificial intelligence (AI) platform is where AI is headed.   This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  16. Because Seconds, Inches, and Heartbeats Count

    Reading time: 5 mins

    See why machine learning is becoming a game changer across all sports and how it can even address the luck factor. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  17. Make Machine Learning Work for Your Business

    Reading time: 9 mins

    Andrew Pery, Chief Marketing Officer, Top Image Systems, discusses Machine Learning with Ken Murphy of SAPinsider. Below is a transcript of the conversation. Ken Murphy, SAPinsider: Hi, this is Ken Murphy with SAPinsider. Thank you for listening to this podcast on machine learning and what it means for the SAP customer. Here with me to…...…
  18. Why You Can’t Remove Humans from AI Training Loops

    Reading time: 5 mins

    Although generating high-quality, realistic synthetic data for machine learning training applications has become easier, it will never replace human-annotated training data collected in the real world. Find out why humans are still needed. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  19. How Can Manufacturers Use Machine Learning Today?

    Reading time: 3 mins

    Machine learning has had a tremendous impact on manufacturing today. Whether its service parts demand forecasting, new product introduction, or service parts pricing, companies can leverage artificial intelligence to optimize processes and see immediate benefits. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  20. Tools for Making Machine Learning Easier and Smoother

    Reading time: 10 mins

    Understand the concept of blockchain and explore the services released by SAP Cloud Platform Blockchain service that allow users to develop blockchain scenarios. Learn how to connect a manufacturing execution system (MES) to SAP ERP Central Component (SAP ECC). Understand common use cases and best practices during the implementation. Learn integration options, avoid common pitfalls,…
  21. How Machine Learning Is Transforming Healthcare

    Reading time: 2 mins

    Emerging technologies, such as machine learning and artificial intelligence, have had a tremendous impact on the healthcare industry. With greater and more intelligent analytics, diagnostic and predictive healthcare options are improving the quality of life for patients around the world. This content is available to (General or Premium) members. Sign in or Join for free!…
  22. “Printing Money” with Operational Machine Learning

    Reading time: 5 mins

    Companies are turning their data into revenue generators by using machine learning and analytics. This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member